Articles | Volume 13, issue 1
https://doi.org/10.5194/esd-13-251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-13-251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review
| Highlight paper
| 
02 Feb 2022
Review | Highlight paper |
| 02 Feb 2022
| 02 Feb 2022
Natural hazards and extreme events in the Baltic Sea region
Anna Rutgersson
CORRESPONDING AUTHOR
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Centre of Natural Hazards and Disaster Science, Uppsala University,
Uppsala, Sweden
Erik Kjellström
Research and Development Department, Swedish Meteorological and Hydrological Institute, Norrköping,
Sweden
Department of Meteorology and the Bolin Centre for Climate Research, Stockholm University,
Stockholm, Sweden
Jari Haapala
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Martin Stendel
Danish Meteorological Institute, Copenhagen, Denmark
Irina Danilovich
Centre for Climate Research, Institute for Nature Management, National Academy of Sciences, Minsk,
Belarus
Martin Drews
Department of Technology, Management and Economics, Technical
University of Denmark, Kongens Lyngby, Denmark
Kirsti Jylhä
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Pentti Kujala
Aalto University, Espoo, Finland
Xiaoli Guo Larsén
Wind Energy Department, Technical University of Denmark, Roskilde,
Denmark
Kirsten Halsnæs
Department of Technology, Management and Economics, Technical
University of Denmark, Kongens Lyngby, Denmark
Ilari Lehtonen
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Anna Luomaranta
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Erik Nilsson
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Centre of Natural Hazards and Disaster Science, Uppsala University,
Uppsala, Sweden
Taru Olsson
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Jani Särkkä
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Laura Tuomi
Meteorological and Marine Research Programme, Finnish Meteorological Institute, Helsinki, Finland
Norbert Wasmund
Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
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Explosive cyclones and atmospheric rivers are two main drivers of extreme weather in Europe. In this study, we investigate their joint changes in future climates over the North Atlantic. Our results show that both the concurrence of these events and the intensity of atmospheric rivers increase by the end of the century across different future scenarios. Furthermore, explosive cyclones associated with atmospheric rivers last longer and are deeper than those without atmospheric rivers.
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Earth Syst. Dynam., 12, 939–973, https://doi.org/10.5194/esd-12-939-2021, https://doi.org/10.5194/esd-12-939-2021, 2021
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G. Parard, A. A. Charantonis, and A. Rutgerson
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E. Podgrajsek, E. Sahlée, D. Bastviken, J. Holst, A. Lindroth, L. Tranvik, and A. Rutgersson
Biogeosciences, 11, 4225–4233, https://doi.org/10.5194/bg-11-4225-2014, https://doi.org/10.5194/bg-11-4225-2014, 2014
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Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-42, https://doi.org/10.5194/wes-2025-42, 2025
Preprint under review for WES
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Hedi Kanarik, Laura Tuomi, Pekka Alenius, Elina Miettunen, Milla Johansson, Tuomo Roine, Antti Westerlund, and Kimmo K. Kahma
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The Archipelago Sea (AS), part of the Baltic Sea off the northwest coast of Finland, is a fragmented area with intense human activity. This study presents an overview of the observed currents and their main drivers in the area. While local winds primarily drive the AS currents, simultaneous sea level variations in the Bay of Bothnia and Gulf of Finland also significantly impact the area's dynamics.
Matias Uusinoka, Jari Haapala, Jan Åström, Mikko Lensu, and Arttu Polojärvi
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We tracked sea ice deformation over a nine-month period using high-resolution ship radar data and a state-of-the-art deep learning technique. We observe that the typically consistent scale-invariant pattern in sea ice deformation has a lower limit of about 102 meters in winter, but this behavior disappears during summer. Our findings provide critical insights for considering current modeling assumptions and for connecting the scales of interest in sea ice dynamics.
Sara Müller, Xiaoli Guo Larsén, and Fei Hu
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-7, https://doi.org/10.5194/wes-2025-7, 2025
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Wind farms are being developed in areas prone to tropical cyclones. However, it remains unclear whether turbulence models in current design standards, such as the Mann uniform shear model, are suitable for these conditions. For the first time the Mann model is assessed using high-frequency tropical cyclone measurements from four typhoons. Enhanced spectral energy is found at low wavenumbers, especially in the crosswind component during typhoon conditions.
Ferran Lopez-Marti, Mireia Ginesta, Davide Faranda, Anna Rutgersson, Pascal Yiou, Lichuan Wu, and Gabriele Messori
Earth Syst. Dynam., 16, 169–187, https://doi.org/10.5194/esd-16-169-2025, https://doi.org/10.5194/esd-16-169-2025, 2025
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Explosive cyclones and atmospheric rivers are two main drivers of extreme weather in Europe. In this study, we investigate their joint changes in future climates over the North Atlantic. Our results show that both the concurrence of these events and the intensity of atmospheric rivers increase by the end of the century across different future scenarios. Furthermore, explosive cyclones associated with atmospheric rivers last longer and are deeper than those without atmospheric rivers.
Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
Earth Syst. Dynam., 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024, https://doi.org/10.5194/esd-15-1319-2024, 2024
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We propose a number of priority areas for the international climate research community to address over the coming decade. Advances in these areas will both increase our understanding of past and future Earth system change, including the societal and environmental impacts of this change, and deliver significantly improved scientific support to international climate policy, such as future IPCC assessments and the UNFCCC Global Stocktake.
Jan-Victor Björkqvist, Hedi Kanarik, Laura Tuomi, Lauri Niskanen, and Markus Kankainen
State Planet, 4-osr8, 10, https://doi.org/10.5194/sp-4-osr8-10-2024, https://doi.org/10.5194/sp-4-osr8-10-2024, 2024
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Typical wave statistics do not provide information on how often certain wave heights are exceeded and the length of such events. Our study found a strong seasonal dependence for 2.5 and 4 m wave events in the Baltic Sea. Wave heights of over 7 m occurred less than once per year. The number of 1 m wave events can double within 20 km in nearshore areas. Our results are important for all operations at sea, including ship traffic and fish farming.
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci., 24, 3245–3265, https://doi.org/10.5194/nhess-24-3245-2024, https://doi.org/10.5194/nhess-24-3245-2024, 2024
Short summary
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Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties and investigate the sources of limitations while carrying out such analyses at Halmstad, Sweden. Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
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Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan Kropf, Viktor Wattin Hakansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-135, https://doi.org/10.5194/nhess-2024-135, 2024
Revised manuscript under review for NHESS
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With the increasing negative impacts of extreme weather events globally, it's crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.
Taavi Liblik, Daniel Rak, Enriko Siht, Germo Väli, Johannes Karstensen, Laura Tuomi, Louise C. Biddle, Madis-Jaak Lilover, Māris Skudra, Michael Naumann, Urmas Lips, and Volker Mohrholz
EGUsphere, https://doi.org/10.5194/egusphere-2024-2272, https://doi.org/10.5194/egusphere-2024-2272, 2024
Preprint archived
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Eight current meters were deployed to the seafloor across the Baltic to enhance knowledge about circulation and currents. The experiment was complemented by autonomous vehicles. Stable circulation patterns were observed at the sea when weather was steady. Strong and quite persistent currents were observed at the key passage for the deep-water renewal of the Northern Baltic Sea. Deep water renewal mostly occurs during spring and summer periods in the northern Baltic Sea.
Abhay Devasthale, Sandra Andersson, Erik Engström, Frank Kaspar, Jörg Trentmann, Anke Duguay-Tetzlaff, Jan Fokke Meirink, Erik Kjellström, Tomas Landelius, Manu Anna Thomas, and Karl-Göran Karlsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1805, https://doi.org/10.5194/egusphere-2024-1805, 2024
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Using the satellite-based climate data record CLARA-A3 spanning 1982–2020 and ERA5 reanalysis, we present climate regimes that are favourable or unfavourable for solar energy applications. We show that the favourable climate regimes are emerging over much of Europe during spring and early summer for solar energy exploitation.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024, https://doi.org/10.5194/nhess-24-1835-2024, 2024
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We study the relationship between tracks of low-pressure systems and related sea level extremes. We perform the studies by introducing a method to simulate sea levels using synthetic low-pressure systems. We test the method using sites located along the Baltic Sea coast. We find high extremes, where the sea level extreme reaches up to 3.5 m. In addition, we add the maximal value of the mean level of the Baltic Sea (1 m), leading to a sea level of 4.5 m.
Jan Åström, Fredrik Robertsen, Jari Haapala, Arttu Polojärvi, Rivo Uiboupin, and Ilja Maljutenko
The Cryosphere, 18, 2429–2442, https://doi.org/10.5194/tc-18-2429-2024, https://doi.org/10.5194/tc-18-2429-2024, 2024
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The HiDEM code has been developed for analyzing the fracture and fragmentation of brittle materials and has been extensively applied to glacier calving. Here, we report on the adaptation of the code to sea-ice dynamics and breakup. The code demonstrates the capability to simulate sea-ice dynamics on a 100 km scale with an unprecedented resolution. We argue that codes of this type may become useful for improving forecasts of sea-ice dynamics.
Natalia Korhonen, Otto Hyvärinen, Virpi Kollanus, Timo Lanki, Juha Jokisalo, Risto Kosonen, David S. Richardson, and Kirsti Jylhä
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-75, https://doi.org/10.5194/nhess-2024-75, 2024
Revised manuscript accepted for NHESS
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The skill of hindcasts of the European Centre for Medium-Range Weather Forecasts in forecasting heat wave days (periods with the 5-day moving average temperature being above its local summer 90th percentile) over Europe 1 to 4 weeks ahead is examined. The heat wave days forecasts show potential in warning of heat risk in 1–2 weeks in advance, and enhanced accuracy in forecasting prolonged heat waves, in lead times of up to 3 weeks, when the heat wave had initiated prior to the forecast issuance.
Sara Müller, Xiaoli Guo Larsén, and David Robert Verelst
Wind Energ. Sci., 9, 1153–1171, https://doi.org/10.5194/wes-9-1153-2024, https://doi.org/10.5194/wes-9-1153-2024, 2024
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Tropical cyclone winds are challenging for wind turbines. We analyze a tropical cyclone before landfall in a mesoscale model. The simulated wind speeds and storm structure are sensitive to the boundary parametrization. However, independent of the boundary layer parametrization, the median change in wind speed and wind direction with height is small relative to wind turbine design standards. Strong spatial organization of wind shear and veer along the rainbands may increase wind turbine loads.
Jana Fischereit, Henrik Vedel, Xiaoli Guo Larsén, Natalie E. Theeuwes, Gregor Giebel, and Eigil Kaas
Geosci. Model Dev., 17, 2855–2875, https://doi.org/10.5194/gmd-17-2855-2024, https://doi.org/10.5194/gmd-17-2855-2024, 2024
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Wind farms impact local wind and turbulence. To incorporate these effects in weather forecasting, the explicit wake parameterization (EWP) is added to the forecasting model HARMONIE–AROME. We evaluate EWP using flight data above and downstream of wind farms, comparing it with an alternative wind farm parameterization and another weather model. Results affirm the correct implementation of EWP, emphasizing the necessity of accounting for wind farm effects in accurate weather forecasting.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Julika Zinke, Ernst Douglas Nilsson, Piotr Markuszewski, Paul Zieger, Eva Monica Mårtensson, Anna Rutgersson, Erik Nilsson, and Matthew Edward Salter
Atmos. Chem. Phys., 24, 1895–1918, https://doi.org/10.5194/acp-24-1895-2024, https://doi.org/10.5194/acp-24-1895-2024, 2024
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We conducted two research campaigns in the Baltic Sea, during which we combined laboratory sea spray simulation experiments with flux measurements on a nearby island. To combine these two methods, we scaled the laboratory measurements to the flux measurements using three different approaches. As a result, we derived a parameterization that is dependent on wind speed and wave state for particles with diameters 0.015–10 μm. This parameterization is applicable to low-salinity waters.
Elina Miettunen, Laura Tuomi, Antti Westerlund, Hedi Kanarik, and Kai Myrberg
Ocean Sci., 20, 69–83, https://doi.org/10.5194/os-20-69-2024, https://doi.org/10.5194/os-20-69-2024, 2024
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We studied circulation and transports in the Archipelago Sea (in the Baltic Sea) with a high-resolution hydrodynamic model. Transport dynamics show different variabilities in the north and south, so no single transect can represent transport through the whole area in all cases. The net transport in the surface layer is southward and follows the alignment of the deeper channels. In the lower layer, the net transport is southward in the northern part of the area and northward in the southern part.
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Ocean Sci., 20, 21–30, https://doi.org/10.5194/os-20-21-2024, https://doi.org/10.5194/os-20-21-2024, 2024
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Coastal floods occur due to extreme sea levels (ESLs) which are difficult to predict because of their rarity. Long records of accurate sea levels at the local scale increase ESL predictability. Here, we apply a machine learning technique to extend sea level observation data in the past based on a neighbouring tide gauge. We compared the results with a linear model. We conclude that both models give reasonable results with a better accuracy towards the extremes for the machine learning model.
Gustav Strandberg, Jie Chen, Ralph Fyfe, Erik Kjellström, Johan Lindström, Anneli Poska, Qiong Zhang, and Marie-José Gaillard
Clim. Past, 19, 1507–1530, https://doi.org/10.5194/cp-19-1507-2023, https://doi.org/10.5194/cp-19-1507-2023, 2023
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The impact of land use and land cover change (LULCC) on the climate around 2500 years ago is studied using reconstructions and models. The results suggest that LULCC impacted the climate in parts of Europe. Reconstructed LULCC shows up to 1.5 °C higher temperature in parts of Europe in some seasons. This relatively strong response implies that anthropogenic LULCC that had occurred by the late prehistoric period may have already affected the European climate by 2500 years ago.
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023, https://doi.org/10.5194/nhess-23-2403-2023, 2023
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We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
John Erik Engström, Lennart Wern, Sverker Hellström, Erik Kjellström, Chunlüe Zhou, Deliang Chen, and Cesar Azorin-Molina
Earth Syst. Sci. Data, 15, 2259–2277, https://doi.org/10.5194/essd-15-2259-2023, https://doi.org/10.5194/essd-15-2259-2023, 2023
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Newly digitized wind speed observations provide data from the time period from around 1920 to the present, enveloping one full century of wind measurements. The results of this work enable the investigation of the historical variability and trends in surface wind speed in Sweden for
the last century.
Elin Andrée, Jian Su, Morten Andreas Dahl Larsen, Martin Drews, Martin Stendel, and Kristine Skovgaard Madsen
Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, https://doi.org/10.5194/nhess-23-1817-2023, 2023
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When natural processes interact, they may compound each other. The combined effect can amplify extreme sea levels, such as when a storm occurs at a time when the water level is already higher than usual. We used numerical modelling of a record-breaking storm surge in 1872 to show that other prior sea-level conditions could have further worsened the outcome. Our research highlights the need to consider the physical context of extreme sea levels in measures to reduce coastal flood risk.
Xiaoli Guo Larsén, Marc Imberger, Ásta Hannesdóttir, and Andrea N. Hahmann
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2022-102, https://doi.org/10.5194/wes-2022-102, 2023
Revised manuscript not accepted
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We study how climate change will impact extreme winds and choice of turbine class. We use data from 18 CMIP6 members from a historic and a future period to access the change in the extreme winds. The analysis shows an overall increase in the extreme winds in the North Sea and the southern Baltic Sea, but a decrease over the Scandinavian Peninsula and most of the Baltic Sea. The analysis is inconclusive to whether higher or lower classes of turbines will be installed in the future.
Lucía Gutiérrez-Loza, Erik Nilsson, Marcus B. Wallin, Erik Sahlée, and Anna Rutgersson
Biogeosciences, 19, 5645–5665, https://doi.org/10.5194/bg-19-5645-2022, https://doi.org/10.5194/bg-19-5645-2022, 2022
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The exchange of CO2 between the ocean and the atmosphere is an essential aspect of the global carbon cycle and is highly relevant for the Earth's climate. In this study, we used 9 years of in situ measurements to evaluate the temporal variability in the air–sea CO2 fluxes in the Baltic Sea. Furthermore, using this long record, we assessed the effect of atmospheric and water-side mechanisms controlling the efficiency of the air–sea CO2 exchange under different wind-speed conditions.
Xiaoli Guo Larsén and Søren Ott
Wind Energ. Sci., 7, 2457–2468, https://doi.org/10.5194/wes-7-2457-2022, https://doi.org/10.5194/wes-7-2457-2022, 2022
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A method is developed for calculating the extreme wind in tropical-cyclone-affected water areas. The method is based on the spectral correction method that fills in the missing wind variability to the modeled time series, guided by best track data. The paper provides a detailed recipe for applying the method and the 50-year winds of equivalent 10 min temporal resolution from 10 to 150 m in several tropical-cyclone-affected regions.
Eva Sebok, Hans Jørgen Henriksen, Ernesto Pastén-Zapata, Peter Berg, Guillaume Thirel, Anthony Lemoine, Andrea Lira-Loarca, Christiana Photiadou, Rafael Pimentel, Paul Royer-Gaspard, Erik Kjellström, Jens Hesselbjerg Christensen, Jean Philippe Vidal, Philippe Lucas-Picher, Markus G. Donat, Giovanni Besio, María José Polo, Simon Stisen, Yvan Caballero, Ilias G. Pechlivanidis, Lars Troldborg, and Jens Christian Refsgaard
Hydrol. Earth Syst. Sci., 26, 5605–5625, https://doi.org/10.5194/hess-26-5605-2022, https://doi.org/10.5194/hess-26-5605-2022, 2022
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Hydrological models projecting the impact of changing climate carry a lot of uncertainty. Thus, these models usually have a multitude of simulations using different future climate data. This study used the subjective opinion of experts to assess which climate and hydrological models are the most likely to correctly predict climate impacts, thereby easing the computational burden. The experts could select more likely hydrological models, while the climate models were deemed equally probable.
Changgui Lin, Erik Kjellström, Renate Anna Irma Wilcke, and Deliang Chen
Earth Syst. Dynam., 13, 1197–1214, https://doi.org/10.5194/esd-13-1197-2022, https://doi.org/10.5194/esd-13-1197-2022, 2022
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This study endorses RCMs' added value on the driving GCMs in representing observed heat wave magnitudes. The future increase of heat wave magnitudes projected by GCMs is attenuated when downscaled by RCMs. Within the downscaling, uncertainties can be attributed almost equally to choice of RCMs and to the driving data associated with different GCMs. Uncertainties of GCMs in simulating heat wave magnitudes are transformed by RCMs in a complex manner rather than simply inherited.
Christoffer Hallgren, Johan Arnqvist, Erik Nilsson, Stefan Ivanell, Metodija Shapkalijevski, August Thomasson, Heidi Pettersson, and Erik Sahlée
Wind Energ. Sci., 7, 1183–1207, https://doi.org/10.5194/wes-7-1183-2022, https://doi.org/10.5194/wes-7-1183-2022, 2022
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Non-idealized wind profiles with negative shear in part of the profile (e.g., low-level jets) frequently occur in coastal environments and are important to take into consideration for offshore wind power. Using observations from a coastal site in the Baltic Sea, we analyze in which meteorological and sea state conditions these profiles occur and study how they alter the turbulence structure of the boundary layer compared to idealized profiles.
Jana Fischereit, Kurt Schaldemose Hansen, Xiaoli Guo Larsén, Maarten Paul van der Laan, Pierre-Elouan Réthoré, and Juan Pablo Murcia Leon
Wind Energ. Sci., 7, 1069–1091, https://doi.org/10.5194/wes-7-1069-2022, https://doi.org/10.5194/wes-7-1069-2022, 2022
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Wind turbines extract kinetic energy from the flow to create electricity. This induces a wake of reduced wind speed downstream of a turbine and consequently downstream of a wind farm. Different types of numerical models have been developed to calculate this effect. In this study, we compared models of different complexity, together with measurements over two wind farms. We found that higher-fidelity models perform better and the considered rapid models cannot fully capture the wake effect.
Verónica González-Gambau, Estrella Olmedo, Antonio Turiel, Cristina González-Haro, Aina García-Espriu, Justino Martínez, Pekka Alenius, Laura Tuomi, Rafael Catany, Manuel Arias, Carolina Gabarró, Nina Hoareau, Marta Umbert, Roberto Sabia, and Diego Fernández
Earth Syst. Sci. Data, 14, 2343–2368, https://doi.org/10.5194/essd-14-2343-2022, https://doi.org/10.5194/essd-14-2343-2022, 2022
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We present the first Soil Moisture and Ocean Salinity Sea Surface Salinity (SSS) dedicated products over the Baltic Sea (ESA Baltic+ Salinity Dynamics). The Baltic+ L3 product covers 9 days in a 0.25° grid. The Baltic+ L4 is derived by merging L3 SSS with sea surface temperature information, giving a daily product in a 0.05° grid. The accuracy of L3 is 0.7–0.8 and 0.4 psu for the L4. Baltic+ products have shown to be useful, covering spatiotemporal data gaps and for validating numerical models.
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022, https://doi.org/10.5194/tc-16-1007-2022, 2022
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We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.
H. E. Markus Meier, Madline Kniebusch, Christian Dieterich, Matthias Gröger, Eduardo Zorita, Ragnar Elmgren, Kai Myrberg, Markus P. Ahola, Alena Bartosova, Erik Bonsdorff, Florian Börgel, Rene Capell, Ida Carlén, Thomas Carlund, Jacob Carstensen, Ole B. Christensen, Volker Dierschke, Claudia Frauen, Morten Frederiksen, Elie Gaget, Anders Galatius, Jari J. Haapala, Antti Halkka, Gustaf Hugelius, Birgit Hünicke, Jaak Jaagus, Mart Jüssi, Jukka Käyhkö, Nina Kirchner, Erik Kjellström, Karol Kulinski, Andreas Lehmann, Göran Lindström, Wilhelm May, Paul A. Miller, Volker Mohrholz, Bärbel Müller-Karulis, Diego Pavón-Jordán, Markus Quante, Marcus Reckermann, Anna Rutgersson, Oleg P. Savchuk, Martin Stendel, Laura Tuomi, Markku Viitasalo, Ralf Weisse, and Wenyan Zhang
Earth Syst. Dynam., 13, 457–593, https://doi.org/10.5194/esd-13-457-2022, https://doi.org/10.5194/esd-13-457-2022, 2022
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Based on the Baltic Earth Assessment Reports of this thematic issue in Earth System Dynamics and recent peer-reviewed literature, current knowledge about the effects of global warming on past and future changes in the climate of the Baltic Sea region is summarised and assessed. The study is an update of the Second Assessment of Climate Change (BACC II) published in 2015 and focuses on the atmosphere, land, cryosphere, ocean, sediments, and the terrestrial and marine biosphere.
Milla M. Johansson, Jan-Victor Björkqvist, Jani Särkkä, Ulpu Leijala, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 22, 813–829, https://doi.org/10.5194/nhess-22-813-2022, https://doi.org/10.5194/nhess-22-813-2022, 2022
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We analysed the correlation of sea level and wind waves at a coastal location in the Gulf of Finland using tide gauge data, wave measurements, and wave simulations. The correlation was positive for southwesterly winds and negative for northeasterly winds. Probabilities of high total water levels (sea level + wave crest) are underestimated if sea level and waves are considered independent. Suitably chosen copula functions can account for the dependence.
Erika Médus, Emma D. Thomassen, Danijel Belušić, Petter Lind, Peter Berg, Jens H. Christensen, Ole B. Christensen, Andreas Dobler, Erik Kjellström, Jonas Olsson, and Wei Yang
Nat. Hazards Earth Syst. Sci., 22, 693–711, https://doi.org/10.5194/nhess-22-693-2022, https://doi.org/10.5194/nhess-22-693-2022, 2022
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We evaluate the skill of a regional climate model, HARMONIE-Climate, to capture the present-day characteristics of heavy precipitation in the Nordic region and investigate the added value provided by a convection-permitting model version. The higher model resolution improves the representation of hourly heavy- and extreme-precipitation events and their diurnal cycle. The results indicate the benefits of convection-permitting models for constructing climate change projections over the region.
H. E. Markus Meier, Christian Dieterich, Matthias Gröger, Cyril Dutheil, Florian Börgel, Kseniia Safonova, Ole B. Christensen, and Erik Kjellström
Earth Syst. Dynam., 13, 159–199, https://doi.org/10.5194/esd-13-159-2022, https://doi.org/10.5194/esd-13-159-2022, 2022
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In addition to environmental pressures such as eutrophication, overfishing and contaminants, climate change is believed to have an important impact on the marine environment in the future, and marine management should consider the related risks. Hence, we have compared and assessed available scenario simulations for the Baltic Sea and found considerable uncertainties of the projections caused by the underlying assumptions and model biases, in particular for the water and biogeochemical cycles.
Ole Bøssing Christensen, Erik Kjellström, Christian Dieterich, Matthias Gröger, and Hans Eberhard Markus Meier
Earth Syst. Dynam., 13, 133–157, https://doi.org/10.5194/esd-13-133-2022, https://doi.org/10.5194/esd-13-133-2022, 2022
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The Baltic Sea Region is very sensitive to climate change, whose impacts could easily exacerbate biodiversity stress from society and eutrophication of the Baltic Sea. Therefore, there has been a focus on estimations of future climate change and its impacts in recent research. Models show a strong warming, in particular in the north in winter. Precipitation is projected to increase in the whole region apart from the south during summer. New results improve estimates of future climate change.
Antti Westerlund, Elina Miettunen, Laura Tuomi, and Pekka Alenius
Ocean Sci., 18, 89–108, https://doi.org/10.5194/os-18-89-2022, https://doi.org/10.5194/os-18-89-2022, 2022
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Water exchange through the Åland Sea (in the Baltic Sea) affects the conditions in the neighbouring Gulf of Bothnia. Pathways and variability of flows were studied with a high-resolution hydrodynamic model. Our analysis showed a northward transport in the deep layer and net transport towards the south in the surface layer. While on the southern edge of the Åland Sea the primary route of deep-water exchange is through Lågskär Deep, some deep water still bypasses it to the Åland Sea.
Marcus Reckermann, Anders Omstedt, Tarmo Soomere, Juris Aigars, Naveed Akhtar, Magdalena Bełdowska, Jacek Bełdowski, Tom Cronin, Michał Czub, Margit Eero, Kari Petri Hyytiäinen, Jukka-Pekka Jalkanen, Anders Kiessling, Erik Kjellström, Karol Kuliński, Xiaoli Guo Larsén, Michelle McCrackin, H. E. Markus Meier, Sonja Oberbeckmann, Kevin Parnell, Cristian Pons-Seres de Brauwer, Anneli Poska, Jarkko Saarinen, Beata Szymczycha, Emma Undeman, Anders Wörman, and Eduardo Zorita
Earth Syst. Dynam., 13, 1–80, https://doi.org/10.5194/esd-13-1-2022, https://doi.org/10.5194/esd-13-1-2022, 2022
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As part of the Baltic Earth Assessment Reports (BEAR), we present an inventory and discussion of different human-induced factors and processes affecting the environment of the Baltic Sea region and their interrelations. Some are naturally occurring and modified by human activities, others are completely human-induced, and they are all interrelated to different degrees. The findings from this study can largely be transferred to other comparable marginal and coastal seas in the world.
Jan-Victor Björkqvist, Siim Pärt, Victor Alari, Sander Rikka, Elisa Lindgren, and Laura Tuomi
Ocean Sci., 17, 1815–1829, https://doi.org/10.5194/os-17-1815-2021, https://doi.org/10.5194/os-17-1815-2021, 2021
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Waves that travel faster than the wind are called swell. Our study presents wave model statistics of swell waves in the Baltic Sea, since such statistics have not yet been reliably compiled. Our results confirm that long, high, and persistent swell is absent in the Baltic Sea. We found that the dependency between swell and wind waves differs in the open sea compared to nearshore areas. These distinctions are important for studies on how waves interact with the atmosphere and the sea floor.
Mika Rantanen, Kirsti Jylhä, Jani Särkkä, Jani Räihä, and Ulpu Leijala
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-314, https://doi.org/10.5194/nhess-2021-314, 2021
Revised manuscript not accepted
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Using sea level and precipitation observations, we analysed the meteorological characteristics of days when heavy precipitation and high sea level occur simultaneously in Finland. We found that around 5 % of all heavy precipitation and high sea level events on the Finnish coast are so called compound events when they both occur simultaneously, and these events were associated with close passages of mid-latitude cyclones. Our results act as a basis for compound flooding research in Finland.
Kenneth D. Mankoff, Xavier Fettweis, Peter L. Langen, Martin Stendel, Kristian K. Kjeldsen, Nanna B. Karlsson, Brice Noël, Michiel R. van den Broeke, Anne Solgaard, William Colgan, Jason E. Box, Sebastian B. Simonsen, Michalea D. King, Andreas P. Ahlstrøm, Signe Bech Andersen, and Robert S. Fausto
Earth Syst. Sci. Data, 13, 5001–5025, https://doi.org/10.5194/essd-13-5001-2021, https://doi.org/10.5194/essd-13-5001-2021, 2021
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We estimate the daily mass balance and its components (surface, marine, and basal mass balance) for the Greenland ice sheet. Our time series begins in 1840 and has annual resolution through 1985 and then daily from 1986 through next week. Results are operational (updated daily) and provided for the entire ice sheet or by commonly used regions or sectors. This is the first input–output mass balance estimate to include the basal mass balance.
Marc Imberger, Xiaoli Guo Larsén, and Neil Davis
Adv. Geosci., 56, 77–87, https://doi.org/10.5194/adgeo-56-77-2021, https://doi.org/10.5194/adgeo-56-77-2021, 2021
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Events like mid-latitude storms with their high winds have an impact on wind energy production and forecasting of such events is crucial. This study investigates the capabilities of a global weather prediction model MPAS and looks at how key parameters like storm intensity, arrival time and duration are represented compared to measurements and traditional methods. It is found that storm intensity is represented well while model drifts negatively influence estimation of arrival time and duration.
Matthias Gröger, Christian Dieterich, Jari Haapala, Ha Thi Minh Ho-Hagemann, Stefan Hagemann, Jaromir Jakacki, Wilhelm May, H. E. Markus Meier, Paul A. Miller, Anna Rutgersson, and Lichuan Wu
Earth Syst. Dynam., 12, 939–973, https://doi.org/10.5194/esd-12-939-2021, https://doi.org/10.5194/esd-12-939-2021, 2021
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Regional climate studies are typically pursued by single Earth system component models (e.g., ocean models and atmosphere models). These models are driven by prescribed data which hamper the simulation of feedbacks between Earth system components. To overcome this, models were developed that interactively couple model components and allow an adequate simulation of Earth system interactions important for climate. This article reviews recent developments of such models for the Baltic Sea region.
Tuomas Kärnä, Patrik Ljungemyr, Saeed Falahat, Ida Ringgaard, Lars Axell, Vasily Korabel, Jens Murawski, Ilja Maljutenko, Anja Lindenthal, Simon Jandt-Scheelke, Svetlana Verjovkina, Ina Lorkowski, Priidik Lagemaa, Jun She, Laura Tuomi, Adam Nord, and Vibeke Huess
Geosci. Model Dev., 14, 5731–5749, https://doi.org/10.5194/gmd-14-5731-2021, https://doi.org/10.5194/gmd-14-5731-2021, 2021
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We present Nemo-Nordic 2.0, a novel operational marine model for the Baltic Sea. The model covers the Baltic Sea and the North Sea with approximately 1 nmi resolution. We validate the model's performance against sea level, water temperature, and salinity observations, as well as sea ice charts. The skill analysis demonstrates that Nemo-Nordic 2.0 can reproduce the hydrographic features of the Baltic Sea.
Jens Daniel Müller, Bernd Schneider, Ulf Gräwe, Peer Fietzek, Marcus Bo Wallin, Anna Rutgersson, Norbert Wasmund, Siegfried Krüger, and Gregor Rehder
Biogeosciences, 18, 4889–4917, https://doi.org/10.5194/bg-18-4889-2021, https://doi.org/10.5194/bg-18-4889-2021, 2021
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Based on profiling pCO2 measurements from a field campaign, we quantify the biomass production of a cyanobacteria bloom in the Baltic Sea, the export of which would foster deep water deoxygenation. We further demonstrate how this biomass production can be accurately reconstructed from long-term surface measurements made on cargo vessels in combination with modelled temperature profiles. This approach enables a better understanding of a severe concern for the Baltic’s good environmental status.
Xiaoli G. Larsén and Jana Fischereit
Geosci. Model Dev., 14, 3141–3158, https://doi.org/10.5194/gmd-14-3141-2021, https://doi.org/10.5194/gmd-14-3141-2021, 2021
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For the first time, turbulent kinetic energy (TKE) calculated from the explicit wake parameterization (EWP) in WRF is examined using high-frequency measurements over a wind farm and compared with that calculated using the Fitch et al. (2012) scheme. We examined the effect of farm-induced TKE advection in connection with the Fitch scheme. Through a case study with a low-level jet (LLJ), we analyzed the key features of LLJs and raised the issue of interaction between wind farms and LLJs.
Jan-Victor Björkqvist, Sander Rikka, Victor Alari, Aarne Männik, Laura Tuomi, and Heidi Pettersson
Nat. Hazards Earth Syst. Sci., 20, 3593–3609, https://doi.org/10.5194/nhess-20-3593-2020, https://doi.org/10.5194/nhess-20-3593-2020, 2020
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Wave observations have a fundamental uncertainty due to the randomness of the sea state. Such scatter is absent in model data, and we tried two methods to best account for this difference when combining measured and modelled wave heights. The results were used to estimate how rare a 2019 storm in the Bothnian Sea was. Both methods were found to have strengths and weaknesses, but our best estimate was that, in the current climate, such a storm might on average repeat about once a century.
Renate Anna Irma Wilcke, Erik Kjellström, Changgui Lin, Daniela Matei, Anders Moberg, and Evangelos Tyrlis
Earth Syst. Dynam., 11, 1107–1121, https://doi.org/10.5194/esd-11-1107-2020, https://doi.org/10.5194/esd-11-1107-2020, 2020
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Two long-lasting high-pressure systems in summer 2018 led to heat waves over Scandinavia and an extended summer period with devastating impacts on both agriculture and human life. Using five climate model ensembles, the unique 263-year Stockholm temperature time series and a composite 150-year time series for the whole of Sweden, we found that anthropogenic climate change has strongly increased the probability of a warm summer, such as the one observed in 2018, occurring in Sweden.
Thomas Krumpen, Florent Birrien, Frank Kauker, Thomas Rackow, Luisa von Albedyll, Michael Angelopoulos, H. Jakob Belter, Vladimir Bessonov, Ellen Damm, Klaus Dethloff, Jari Haapala, Christian Haas, Carolynn Harris, Stefan Hendricks, Jens Hoelemann, Mario Hoppmann, Lars Kaleschke, Michael Karcher, Nikolai Kolabutin, Ruibo Lei, Josefine Lenz, Anne Morgenstern, Marcel Nicolaus, Uwe Nixdorf, Tomash Petrovsky, Benjamin Rabe, Lasse Rabenstein, Markus Rex, Robert Ricker, Jan Rohde, Egor Shimanchuk, Suman Singha, Vasily Smolyanitsky, Vladimir Sokolov, Tim Stanton, Anna Timofeeva, Michel Tsamados, and Daniel Watkins
The Cryosphere, 14, 2173–2187, https://doi.org/10.5194/tc-14-2173-2020, https://doi.org/10.5194/tc-14-2173-2020, 2020
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In October 2019 the research vessel Polarstern was moored to an ice floe in order to travel with it on the 1-year-long MOSAiC journey through the Arctic. Here we provide historical context of the floe's evolution and initial state for upcoming studies. We show that the ice encountered on site was exceptionally thin and was formed on the shallow Siberian shelf. The analyses presented provide the initial state for the analysis and interpretation of upcoming biogeochemical and ecological studies.
Taru Olsson, Anna Luomaranta, Kirsti Jylhä, Julia Jeworrek, Tuuli Perttula, Christian Dieterich, Lichuan Wu, Anna Rutgersson, and Antti Mäkelä
Adv. Sci. Res., 17, 87–104, https://doi.org/10.5194/asr-17-87-2020, https://doi.org/10.5194/asr-17-87-2020, 2020
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Statistics of the frequency and intensity of snow bands affecting the Finnish coast during years 2000–2010 was conducted. A set of criteria for meteorological variables favoring the formation of the snow bands were applied to regional climate model (RCA4) data. We found on average three days per year with favorable conditions for coastal sea-effect snowfall. The heaviest convective snowfall events were detected most frequently over the southern coastline.
Jérôme Kaiser, Norbert Wasmund, Mati Kahru, Anna K. Wittenborn, Regina Hansen, Katharina Häusler, Matthias Moros, Detlef Schulz-Bull, and Helge W. Arz
Biogeosciences, 17, 2579–2591, https://doi.org/10.5194/bg-17-2579-2020, https://doi.org/10.5194/bg-17-2579-2020, 2020
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Cyanobacterial blooms represent a threat to the Baltic Sea ecosystem, causing deoxygenation of the bottom water. In order to understand the natural versus anthropogenic factors driving these blooms, it is necessary to study long-term trends beyond observations. We have produced a record of cyanobacterial blooms since 1860 using organic molecules (biomarkers) preserved in sediments. Cyanobacterial blooms in the Baltic Sea are likely mainly related to temperature variability.
Minchao Wu, Grigory Nikulin, Erik Kjellström, Danijel Belušić, Colin Jones, and David Lindstedt
Earth Syst. Dynam., 11, 377–394, https://doi.org/10.5194/esd-11-377-2020, https://doi.org/10.5194/esd-11-377-2020, 2020
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Regional Climate Models constitute a downscaling tool to provide high-resolution data for impact and adaptation studies. However, there is no unique definition of the added value of downscaling as it depends on many factors. We investigate the impact of spatial resolution and model formulation on downscaled rainfall in Africa. Our results show that improvements in downscaled rainfall compared to the driving reanalysis are often related to model formulation and not always to higher resolution.
Danijel Belušić, Hylke de Vries, Andreas Dobler, Oskar Landgren, Petter Lind, David Lindstedt, Rasmus A. Pedersen, Juan Carlos Sánchez-Perrino, Erika Toivonen, Bert van Ulft, Fuxing Wang, Ulf Andrae, Yurii Batrak, Erik Kjellström, Geert Lenderink, Grigory Nikulin, Joni-Pekka Pietikäinen, Ernesto Rodríguez-Camino, Patrick Samuelsson, Erik van Meijgaard, and Minchao Wu
Geosci. Model Dev., 13, 1311–1333, https://doi.org/10.5194/gmd-13-1311-2020, https://doi.org/10.5194/gmd-13-1311-2020, 2020
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A new regional climate modelling system, HCLIM38, is presented and shown to be applicable in different regions ranging from the tropics to the Arctic. The main focus is on climate simulations at horizontal resolutions between 1 and 4 km, the so-called convection-permitting scales, even though the model can also be used at coarser resolutions. The benefits of simulating climate at convection-permitting scales are shown and are particularly evident for climate extremes.
Lea Skraep Svenningsen, Lisa Bay, Mads Lykke Doemgaard, Kirsten Halsnaes, Per Skougaard Kaspersen, and Morten Dahl Larsen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-30, https://doi.org/10.5194/nhess-2020-30, 2020
Publication in NHESS not foreseen
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This study provides rigorous and detailed econometric estimates of damage costs for residential buildings resulting from a storm surge in Denmark, December 2013. Our results indicate that the isolated effect of inundation depth on damage costs is highly sensitive to the inclusion of other explanatory variables. Our findings highlight the importance of controlling for spatial effects, such as the level of emergency services and socio-economic conditions.
Jesús Yus-Díez, Mireia Udina, Maria Rosa Soler, Marie Lothon, Erik Nilsson, Joan Bech, and Jielun Sun
Atmos. Chem. Phys., 19, 9495–9514, https://doi.org/10.5194/acp-19-9495-2019, https://doi.org/10.5194/acp-19-9495-2019, 2019
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This study helps improve the understanding of the turbulence description and the interactions occurring in the lower part of the boundary layer. It is carried out at an orographically influenced site close to the Pyrenees to explore the hockey-stick transition (HOST) theory. HOST is seen to be strongly dependent on both the meteorological conditions and the orographic features. Examples of intermittent turbulence events that lead to transitions between the turbulence regimes are also identified.
Jianting Du, Rodolfo Bolaños, Xiaoli Guo Larsén, and Mark Kelly
Ocean Sci., 15, 361–377, https://doi.org/10.5194/os-15-361-2019, https://doi.org/10.5194/os-15-361-2019, 2019
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Ocean surface waves generated by wind and dissipated by white capping are two important physics processes for numerical wave simulations. In this study, a new pair of wind–wave generation and dissipation source functions is implemented in the wave model SWAN, and it shows better performance in real wave simulations during two North Sea storms. The new source functions can be further used in other wave models for both academic and engineering purposes.
Hannu Valta, Ilari Lehtonen, Terhi K. Laurila, Ari Venäläinen, Mikko Laapas, and Hilppa Gregow
Adv. Sci. Res., 16, 31–37, https://doi.org/10.5194/asr-16-31-2019, https://doi.org/10.5194/asr-16-31-2019, 2019
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A comparison of forest damage with windstorm intensity in Finland suggests that the volume of forest damage follows approximately a power relation as a function of wind gust speed with a power of ~10. This tentative estimate holds for typical windstorms having mainly westerly winds and affecting large areas in southern and central parts of Finland. The estimate can be utilized when preparing impact-based predictions of windstorms.
Ilari Lehtonen, Ari Venäläinen, Matti Kämäräinen, Antti Asikainen, Juha Laitila, Perttu Anttila, and Heli Peltola
Hydrol. Earth Syst. Sci., 23, 1611–1631, https://doi.org/10.5194/hess-23-1611-2019, https://doi.org/10.5194/hess-23-1611-2019, 2019
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Wintertime bearing capacity on different forest soils with respect to timber harvesting in the projected future climate of Finland was estimated by using a soil temperature model and a wide set of downscaled climate model simulations. The results indicate that, particularly, drained peatlands may virtually lack soil frost over large areas in most of winters during the late 21st century. There is thus a clear need to develop new sustainable and efficient logging practices for peatland forests.
Robinson Hordoir, Lars Axell, Anders Höglund, Christian Dieterich, Filippa Fransner, Matthias Gröger, Ye Liu, Per Pemberton, Semjon Schimanke, Helen Andersson, Patrik Ljungemyr, Petter Nygren, Saeed Falahat, Adam Nord, Anette Jönsson, Iréne Lake, Kristofer Döös, Magnus Hieronymus, Heiner Dietze, Ulrike Löptien, Ivan Kuznetsov, Antti Westerlund, Laura Tuomi, and Jari Haapala
Geosci. Model Dev., 12, 363–386, https://doi.org/10.5194/gmd-12-363-2019, https://doi.org/10.5194/gmd-12-363-2019, 2019
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Nemo-Nordic is a regional ocean model based on a community code (NEMO). It covers the Baltic and the North Sea area and is used as a forecast model by the Swedish Meteorological and Hydrological Institute. It is also used as a research tool by scientists of several countries to study, for example, the effects of climate change on the Baltic and North seas. Using such a model permits us to understand key processes in this coastal ecosystem and how such processes will change in a future climate.
Winfried Hoke, Tina Swierczynski, Peter Braesicke, Karin Lochte, Len Shaffrey, Martin Drews, Hilppa Gregow, Ralf Ludwig, Jan Even Øie Nilsen, Elisa Palazzi, Gianmaria Sannino, Lars Henrik Smedsrud, and ECRA network
Adv. Geosci., 46, 1–10, https://doi.org/10.5194/adgeo-46-1-2019, https://doi.org/10.5194/adgeo-46-1-2019, 2019
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The European Climate Research Alliance is a bottom-up association of European research institutions helping to facilitate the development of climate change research, combining the capacities of national research institutions and inducing closer ties between existing national research initiatives, projects and infrastructures. This article briefly introduces the network's structure and organisation, as well as project management issues and prospects.
Beate Stawiarski, Stefan Otto, Volker Thiel, Ulf Gräwe, Natalie Loick-Wilde, Anna K. Wittenborn, Stefan Schloemer, Janine Wäge, Gregor Rehder, Matthias Labrenz, Norbert Wasmund, and Oliver Schmale
Biogeosciences, 16, 1–16, https://doi.org/10.5194/bg-16-1-2019, https://doi.org/10.5194/bg-16-1-2019, 2019
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The understanding of surface water methane production in the world oceans is still poor. By combining field studies and incubation experiments, our investigations suggest that zooplankton contributes to subthermocline methane enrichments in the central Baltic Sea by methane production within the digestive tract of copepods and/or by methane production through release of methane precursor substances into the surrounding water, followed by microbial degradation to methane.
Iina Ronkainen, Jonni Lehtiranta, Mikko Lensu, Eero Rinne, Jari Haapala, and Christian Haas
The Cryosphere, 12, 3459–3476, https://doi.org/10.5194/tc-12-3459-2018, https://doi.org/10.5194/tc-12-3459-2018, 2018
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We quantify the sea ice thickness variability in the Bay of Bothnia using various observational data sets. For the first time we use helicopter and shipborne electromagnetic soundings to study changes in drift ice of the Bay of Bothnia. Our results show that the interannual variability of ice thickness is larger in the drift ice zone than in the fast ice zone. Furthermore, the mean thickness of heavily ridged ice near the coast can be several times larger than that of fast ice.
Stephen Blenkinsop, Hayley J. Fowler, Renaud Barbero, Steven C. Chan, Selma B. Guerreiro, Elizabeth Kendon, Geert Lenderink, Elizabeth Lewis, Xiao-Feng Li, Seth Westra, Lisa Alexander, Richard P. Allan, Peter Berg, Robert J. H. Dunn, Marie Ekström, Jason P. Evans, Greg Holland, Richard Jones, Erik Kjellström, Albert Klein-Tank, Dennis Lettenmaier, Vimal Mishra, Andreas F. Prein, Justin Sheffield, and Mari R. Tye
Adv. Sci. Res., 15, 117–126, https://doi.org/10.5194/asr-15-117-2018, https://doi.org/10.5194/asr-15-117-2018, 2018
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Measurements of sub-daily (e.g. hourly) rainfall totals are essential if we are to understand short, intense bursts of rainfall that cause flash floods. We might expect the intensity of such events to increase in a warming climate but these are poorly realised in projections of future climate change. The INTENSE project is collating a global dataset of hourly rainfall measurements and linking with new developments in climate models to understand the characteristics and causes of these events.
Erik Kjellström, Grigory Nikulin, Gustav Strandberg, Ole Bøssing Christensen, Daniela Jacob, Klaus Keuler, Geert Lenderink, Erik van Meijgaard, Christoph Schär, Samuel Somot, Silje Lund Sørland, Claas Teichmann, and Robert Vautard
Earth Syst. Dynam., 9, 459–478, https://doi.org/10.5194/esd-9-459-2018, https://doi.org/10.5194/esd-9-459-2018, 2018
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Based on high-resolution regional climate models we investigate European climate change at 1.5 and 2 °C of global warming compared to pre-industrial levels. Considerable near-surface warming exceeding that of the global mean is found for most of Europe, already at the lower 1.5 °C of warming level. Changes in precipitation and near-surface wind speed are identified. The 1.5 °C of warming level shows significantly less change compared to the 2 °C level, indicating the importance of mitigation.
Gaëlle Parard, Anna Rutgersson, Sindu Raj Parampil, and Anastase Alexandre Charantonis
Earth Syst. Dynam., 8, 1093–1106, https://doi.org/10.5194/esd-8-1093-2017, https://doi.org/10.5194/esd-8-1093-2017, 2017
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Coastal environments and shelf sea represent 7.6 % of the total oceanic surface area. They are, however, biogeochemically more dynamic and probably more vulnerable to climate change than the open ocean. Whatever the responses of the open ocean to climate change, they will propagate to the coastal ocean. We used the self-organizing multiple linear output (SOMLO) method to estimate the ocean surface pCO2 in the Baltic Sea from remotely sensed measurements and we estimated the air–sea CO2 flux.
Noora Veijalainen, Juho Jakkila, Taru Olsson, Leif Backman, Bertel Vehviläinen, and Jussi Kaurola
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-602, https://doi.org/10.5194/hess-2017-602, 2017
Revised manuscript not accepted
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Climate change impacts on floods in Finland were estimated on several locations. Regional climate model data was bias corrected and then used as input of a hydrological model and the function of the bias correction was evaluated. The bias correction improved the simulation of floods, but some scenarios are still unable to match the observed hydrology adequately. The changes in floods by 2070–2099 vary in different regions in Finland depending on season and the main flood producing mechanism.
Björn Claremar, Karin Haglund, and Anna Rutgersson
Earth Syst. Dynam., 8, 901–919, https://doi.org/10.5194/esd-8-901-2017, https://doi.org/10.5194/esd-8-901-2017, 2017
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Shipping is the most cost-effective option for the global transport of goods, and over 90 % of world trade is carried by sea. The shipping sector, however, contributes to emissions of pollutants into the air and water. Estimates of deposition and near-surface concentrations of sulfur, nitrogen, and particulate matter originating from shipping in the Baltic Sea region have been developed for present conditions concerning traffic intensity and fuel as well as for future scenarios until 2050.
Jan-Victor Björkqvist, Laura Tuomi, Niko Tollman, Antti Kangas, Heidi Pettersson, Riikka Marjamaa, Hannu Jokinen, and Carl Fortelius
Nat. Hazards Earth Syst. Sci., 17, 1653–1658, https://doi.org/10.5194/nhess-17-1653-2017, https://doi.org/10.5194/nhess-17-1653-2017, 2017
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We studied the highest wave events in the Baltic Sea using wave measurements available since 1996. Going beyond classifying them based solely on the maximum wave height, we found that they can be divided into two groups based on, for example, the length of the storm. Two of the severest storms show different behaviour, with the most recent (in 2017) being the longest on record. We hope this more in-depth description of the storms will aid in the issuing of warnings for extreme wave conditions.
Per Pemberton, Ulrike Löptien, Robinson Hordoir, Anders Höglund, Semjon Schimanke, Lars Axell, and Jari Haapala
Geosci. Model Dev., 10, 3105–3123, https://doi.org/10.5194/gmd-10-3105-2017, https://doi.org/10.5194/gmd-10-3105-2017, 2017
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The Baltic Sea is seasonally ice covered with intense wintertime ship traffic and a sensitive ecosystem. Understanding the sea-ice pack is important for climate effect studies and forecasting. A NEMO-LIM3.6-based model setup for the North Sea/Baltic Sea is introduced, including a method for ice in the coastal zone. We evaluate different sea-ice parameters and overall find that the model agrees well with the observation though deformed ice is more challenging to capture.
Per Skougaard Kaspersen, Nanna Høegh Ravn, Karsten Arnbjerg-Nielsen, Henrik Madsen, and Martin Drews
Hydrol. Earth Syst. Sci., 21, 4131–4147, https://doi.org/10.5194/hess-21-4131-2017, https://doi.org/10.5194/hess-21-4131-2017, 2017
Taru Olsson, Tuuli Perttula, Kirsti Jylhä, and Anna Luomaranta
Adv. Sci. Res., 14, 231–239, https://doi.org/10.5194/asr-14-231-2017, https://doi.org/10.5194/asr-14-231-2017, 2017
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A new national daily snowfall record was measured in Finland in January 2016 when it snowed 73 cm in less than a day at a small town on the western coast of Finland. The area of the most intense snowfall was very small, which is common in convective precipitation. In this work we used hourly weather radar images to identify the sea-effect snowfall case and found that a weather prediction model worked quite well in simulating the snowbands.
Ari Venäläinen, Mikko Laapas, Pentti Pirinen, Matti Horttanainen, Reijo Hyvönen, Ilari Lehtonen, Päivi Junila, Meiting Hou, and Heli M. Peltola
Earth Syst. Dynam., 8, 529–545, https://doi.org/10.5194/esd-8-529-2017, https://doi.org/10.5194/esd-8-529-2017, 2017
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The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
Julia Jeworrek, Lichuan Wu, Christian Dieterich, and Anna Rutgersson
Earth Syst. Dynam., 8, 163–175, https://doi.org/10.5194/esd-8-163-2017, https://doi.org/10.5194/esd-8-163-2017, 2017
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Convective snow bands develop in response to a cold air outbreak from the continent over an open water surface. In the Baltic Sea region these cause intense snowfall and can cause serious problems for traffic, infrastructure and other important establishments of society. The conditions for these events to occur were characterized and the potential of using a regional modelling system was evaluated. The modelling system was used to develop statistics of these events to occur in time and space.
Matti Kämäräinen, Otto Hyvärinen, Kirsti Jylhä, Andrea Vajda, Simo Neiglick, Jaakko Nuottokari, and Hilppa Gregow
Nat. Hazards Earth Syst. Sci., 17, 243–259, https://doi.org/10.5194/nhess-17-243-2017, https://doi.org/10.5194/nhess-17-243-2017, 2017
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Freezing rain is a high-impact wintertime weather phenomenon. The direct damage it causes to critical infrastructure (transportation, communication and energy) and forestry can be substantial. In this work a method for estimating the occurrence of freezing rain was evaluated and used to derive the climatology. The method was able to accurately reproduce the observed, spatially aggregated annual variability. The highest frequencies of freezing rain were found in eastern and central Europe.
Ilari Lehtonen, Matti Kämäräinen, Hilppa Gregow, Ari Venäläinen, and Heli Peltola
Nat. Hazards Earth Syst. Sci., 16, 2259–2271, https://doi.org/10.5194/nhess-16-2259-2016, https://doi.org/10.5194/nhess-16-2259-2016, 2016
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We studied the impact of projected climate change on the risk of snow-induced forest damage in Finland. Although winters are projected to become milder over the whole of Finland, our results suggest than in eastern and northern Finland the risk may increase while in southern and western parts of the country it is projected to decrease. This indicates that there is increasing need to consider the potential of snow damage in forest management in eastern and northern Finland.
Fleur Couvreux, Eric Bazile, Guylaine Canut, Yann Seity, Marie Lothon, Fabienne Lohou, Françoise Guichard, and Erik Nilsson
Atmos. Chem. Phys., 16, 8983–9002, https://doi.org/10.5194/acp-16-8983-2016, https://doi.org/10.5194/acp-16-8983-2016, 2016
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This study evaluates the ability of operational models to predict the boundary-layer turbulent processes and mesoscale variability observed during the Boundary Layer Late-Afternoon and Sunset Turbulence field campaign. The models succeed in reproducing the variability from one day to another in terms of cloud cover, temperature and boundary-layer depth. However, they exhibit some systematic biases. The high-resolution model reproduces the vertical structures better.
Erik Nilsson, Fabienne Lohou, Marie Lothon, Eric Pardyjak, Larry Mahrt, and Clara Darbieu
Atmos. Chem. Phys., 16, 8849–8872, https://doi.org/10.5194/acp-16-8849-2016, https://doi.org/10.5194/acp-16-8849-2016, 2016
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The evolution of near-surface turbulence kinetic energy (TKE) and its budget in the afternoon transition has been studied based on field measurements. The study shows that TKE transport is an important budget term that needs to be taken into account in modeling of TKE. A non-local parametrization of dissipation using a TKE–length scale model which takes into account of boundary layer depth also gave improved results compared to a local parametrization.
Erik Nilsson, Marie Lothon, Fabienne Lohou, Eric Pardyjak, Oscar Hartogensis, and Clara Darbieu
Atmos. Chem. Phys., 16, 8873–8898, https://doi.org/10.5194/acp-16-8873-2016, https://doi.org/10.5194/acp-16-8873-2016, 2016
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A new simple model for turbulence kinetic energy (TKE) and its budget is presented for the sheared convective atmospheric boundary layer. It is used to study effects of buoyancy and shear on TKE evolution during the afternoon transition, especially near the surface. We also find a region of weak turbulence during unstable afternoon conditions below the inversion top, which we refer to as a "pre-residual layer".
Tito Maldonado, Anna Rutgersson, Eric Alfaro, Jorge Amador, and Björn Claremar
Adv. Geosci., 42, 35–50, https://doi.org/10.5194/adgeo-42-35-2016, https://doi.org/10.5194/adgeo-42-35-2016, 2016
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We studied the relationship between the midsummer drought (MSD) in Central America, and the sea surface temperatures (SST) of the neighbouring ocean in interannual scales. Besides, the motivation of this study is also to provide a systematic method for forecasting the MSD period. We found that the intensity and the magnitude of the MSD shown a strong association with the contrast in the surface temperatures between the eastern tropical Pacific, and the tropical north Atlantic.
I. Lehtonen, A. Venäläinen, M. Kämäräinen, H. Peltola, and H. Gregow
Nat. Hazards Earth Syst. Sci., 16, 239–253, https://doi.org/10.5194/nhess-16-239-2016, https://doi.org/10.5194/nhess-16-239-2016, 2016
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The number of large forest fires in Finland will most likely increase during the twenty-first century in response to projected climate change. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to effective fire suppression. However, our results show considerable inter-model variability, demonstrating the large uncertainty related to the rate of the projected change in forest-fire danger.
T. Olsson, J. Jakkila, N. Veijalainen, L. Backman, J. Kaurola, and B. Vehviläinen
Hydrol. Earth Syst. Sci., 19, 3217–3238, https://doi.org/10.5194/hess-19-3217-2015, https://doi.org/10.5194/hess-19-3217-2015, 2015
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With most scenarios the DBS method used preserves the temperature and precipitation trends of the uncorrected RCM data and produces more realistic projections for mean annual and seasonal changes in discharges than the uncorrected RCM data in Finland. However, if the biases in the mean or the standard deviation of the uncorrected temperatures are large, significant biases after DBS adjustment may remain or temperature trends may change, increasing the uncertainty of climate change projections.
G. Parard, A. A. Charantonis, and A. Rutgerson
Biogeosciences, 12, 3369–3384, https://doi.org/10.5194/bg-12-3369-2015, https://doi.org/10.5194/bg-12-3369-2015, 2015
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In this paper, we used combines two existing methods (i.e. self-organizing maps and multiple linear regression) to estimate the ocean surface partial pressure of CO2 in the Baltic Sea from the remotely sensed sea surface temperature, chlorophyll, coloured dissolved organic matter, net primary production, and
mixed-layer depth. The outputs of this research have a horizontal resolution of 4km and cover the 1998–2011 period. These outputs give a monthly map of the Baltic Sea.
H. Gregow, P. Poli, H. M. Mäkelä, K. Jylhä, A. K. Kaiser-Weiss, A. Obregon, D. G. H. Tan, S. Kekki, and F. Kaspar
Adv. Sci. Res., 12, 63–67, https://doi.org/10.5194/asr-12-63-2015, https://doi.org/10.5194/asr-12-63-2015, 2015
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Many users of climate information are unaware of the availability of reanalysis feedback data and input observations, and uptake of feedback data is rather low. The most important factors limiting the use of this data is that the users feel that there is no easy interface to get the data or they do not find it at all. The relevant communities should invest resources to develop tools and provide training to bridge the gap between current capabilities and comprehensive exploitation of the data.
S. Westermann, B. Elberling, S. Højlund Pedersen, M. Stendel, B. U. Hansen, and G. E. Liston
The Cryosphere, 9, 719–735, https://doi.org/10.5194/tc-9-719-2015, https://doi.org/10.5194/tc-9-719-2015, 2015
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The development of ground temperatures in permafrost areas is influenced by many factors varying on different spatial and temporal scales. We present numerical simulations of ground temperatures for the Zackenberg valley in NE Greenland, which take into account the spatial variability of snow depths, surface and ground properties at a scale of 10m. The ensemble of the model grid cells suggests a spatial variability of annual average ground temperatures of up to 5°C.
P. Räisänen, A. Luomaranta, H. Järvinen, M. Takala, K. Jylhä, O. N. Bulygina, K. Luojus, A. Riihelä, A. Laaksonen, J. Koskinen, and J. Pulliainen
Geosci. Model Dev., 7, 3037–3057, https://doi.org/10.5194/gmd-7-3037-2014, https://doi.org/10.5194/gmd-7-3037-2014, 2014
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Snowmelt influences greatly the climatic conditions in spring. This study evaluates the timing of springtime end of snowmelt in the ECHAM5 model. A key finding is that, in much of northern Eurasia, snow disappears too early in ECHAM5, in spite of a slight cold bias in spring. This points to the need for a more comprehensive treatment of the surface energy budget. In particular, the surface temperature for the snow-covered and snow-free parts of a climate model grid cell should be separated.
C. Berndmeyer, V. Thiel, O. Schmale, N. Wasmund, and M. Blumenberg
Biogeosciences, 11, 7009–7023, https://doi.org/10.5194/bg-11-7009-2014, https://doi.org/10.5194/bg-11-7009-2014, 2014
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The water column of the Landsort Deep, central Baltic Sea, is stratified into an oxic, suboxic, and anoxic zone. This stratification controls the distributions of individual microbial communities and biogeochemical processes. Our study of in situ biomarkers in the Landsort Deep provides an integrated insight into the distribution of relevant compounds and describes useful tracers to reconstruct stratified water columns in the geological record.
E. Podgrajsek, E. Sahlée, D. Bastviken, J. Holst, A. Lindroth, L. Tranvik, and A. Rutgersson
Biogeosciences, 11, 4225–4233, https://doi.org/10.5194/bg-11-4225-2014, https://doi.org/10.5194/bg-11-4225-2014, 2014
A. Virkkula, J. Levula, T. Pohja, P. P. Aalto, P. Keronen, S. Schobesberger, C. B. Clements, L. Pirjola, A.-J. Kieloaho, L. Kulmala, H. Aaltonen, J. Patokoski, J. Pumpanen, J. Rinne, T. Ruuskanen, M. Pihlatie, H. E. Manninen, V. Aaltonen, H. Junninen, T. Petäjä, J. Backman, M. Dal Maso, T. Nieminen, T. Olsson, T. Grönholm, J. Aalto, T. H. Virtanen, M. Kajos, V.-M. Kerminen, D. M. Schultz, J. Kukkonen, M. Sofiev, G. De Leeuw, J. Bäck, P. Hari, and M. Kulmala
Atmos. Chem. Phys., 14, 4473–4502, https://doi.org/10.5194/acp-14-4473-2014, https://doi.org/10.5194/acp-14-4473-2014, 2014
G. Strandberg, E. Kjellström, A. Poska, S. Wagner, M.-J. Gaillard, A.-K. Trondman, A. Mauri, B. A. S. Davis, J. O. Kaplan, H. J. B. Birks, A. E. Bjune, R. Fyfe, T. Giesecke, L. Kalnina, M. Kangur, W. O. van der Knaap, U. Kokfelt, P. Kuneš, M. Lata\l owa, L. Marquer, F. Mazier, A. B. Nielsen, B. Smith, H. Seppä, and S. Sugita
Clim. Past, 10, 661–680, https://doi.org/10.5194/cp-10-661-2014, https://doi.org/10.5194/cp-10-661-2014, 2014
K. Steffens, M. Larsbo, J. Moeys, E. Kjellström, N. Jarvis, and E. Lewan
Hydrol. Earth Syst. Sci., 18, 479–491, https://doi.org/10.5194/hess-18-479-2014, https://doi.org/10.5194/hess-18-479-2014, 2014
J. Peloquin, C. Swan, N. Gruber, M. Vogt, H. Claustre, J. Ras, J. Uitz, R. Barlow, M. Behrenfeld, R. Bidigare, H. Dierssen, G. Ditullio, E. Fernandez, C. Gallienne, S. Gibb, R. Goericke, L. Harding, E. Head, P. Holligan, S. Hooker, D. Karl, M. Landry, R. Letelier, C. A. Llewellyn, M. Lomas, M. Lucas, A. Mannino, J.-C. Marty, B. G. Mitchell, F. Muller-Karger, N. Nelson, C. O'Brien, B. Prezelin, D. Repeta, W. O. Jr. Smith, D. Smythe-Wright, R. Stumpf, A. Subramaniam, K. Suzuki, C. Trees, M. Vernet, N. Wasmund, and S. Wright
Earth Syst. Sci. Data, 5, 109–123, https://doi.org/10.5194/essd-5-109-2013, https://doi.org/10.5194/essd-5-109-2013, 2013
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Relating climate sensitivity indices to projection uncertainty
The role of prior assumptions in carbon budget calculations
Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework
π-theorem generalization of the ice-age theory
Earth system data cubes unravel global multivariate dynamics
ESD Ideas: Why are glaciations slower than deglaciations?
Fractional governing equations of transient groundwater flow in unconfined aquifers with multi-fractional dimensions in fractional time
Climate system response to stratospheric sulfate aerosols: sensitivity to altitude of aerosol layer
Minimal dynamical systems model of the Northern Hemisphere jet stream via embedding of climate data
Millennium-length precipitation reconstruction over south-eastern Asia: a pseudo-proxy approach
Including the efficacy of land ice changes in deriving climate sensitivity from paleodata
The role of moisture transport for precipitation in the inter-annual and inter-daily fluctuations of the Arctic sea ice extension
On the assessment of the moisture transport by the Great Plains low-level jet
ESD Ideas: The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin
Cascading transitions in the climate system
The climate of a retrograde rotating Earth
Diurnal land surface energy balance partitioning estimated from the thermodynamic limit of a cold heat engine
How intermittency affects the rate at which rainfall extremes respond to changes in temperature
Climate sensitivity estimates – sensitivity to radiative forcing time series and observational data
On deeper human dimensions in Earth system analysis and modelling
Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset
Estimating sowing and harvest dates based on the Asian summer monsoon
Quantifying changes in spatial patterns of surface air temperature dynamics over several decades
Systematic Correlation Matrix Evaluation (SCoMaE) – a bottom–up, science-led approach to identifying indicators
Climate indices for the Baltic states from principal component analysis
Fractal scaling analysis of groundwater dynamics in confined aquifers
An explanation for the different climate sensitivities of land and ocean surfaces based on the diurnal cycle
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques
Young people's burden: requirement of negative CO2 emissions
Paul D. L. Ritchie, Hassan Alkhayuon, Peter M. Cox, and Sebastian Wieczorek
Earth Syst. Dynam., 14, 669–683, https://doi.org/10.5194/esd-14-669-2023, https://doi.org/10.5194/esd-14-669-2023, 2023
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Complex systems can undergo abrupt changes or tipping points when external forcing crosses a critical level and are of increasing concern because of their severe impacts. However, tipping points can also occur when the external forcing changes too quickly without crossing any critical levels, which is very relevant for Earth’s systems and contemporary climate. We give an intuitive explanation of such rate-induced tipping and provide illustrative examples from natural and human systems.
Georg Feulner, Mona Bukenberger, and Stefan Petri
Earth Syst. Dynam., 14, 533–547, https://doi.org/10.5194/esd-14-533-2023, https://doi.org/10.5194/esd-14-533-2023, 2023
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One limit of planetary habitability is defined by the threshold of global glaciation. If Earth cools, growing ice cover makes it brighter, leading to further cooling, since more sunlight is reflected, eventually leading to global ice cover (Snowball Earth). We study how much carbon dioxide is needed to prevent global glaciation in Earth's history given the slow increase in the Sun's brightness. We find an unexpected change in the characteristics of climate states close to the Snowball limit.
Gaëlle Leloup and Didier Paillard
Earth Syst. Dynam., 14, 291–307, https://doi.org/10.5194/esd-14-291-2023, https://doi.org/10.5194/esd-14-291-2023, 2023
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Records of past carbon isotopes exhibit oscillations. It is clear over very different time periods that oscillations of 400 kyr take place. Also, strong oscillations of approximately 8–9 Myr are seen over different time periods. While earlier modelling studies have been able to produce 400 kyr oscillations, none of them produced 8–9 Myr cycles. Here, we propose a simple model for the carbon cycle that is able to produce 8–9 Myr oscillations in the modelled carbon isotopes.
Taylor Smith, Ruxandra-Maria Zotta, Chris A. Boulton, Timothy M. Lenton, Wouter Dorigo, and Niklas Boers
Earth Syst. Dynam., 14, 173–183, https://doi.org/10.5194/esd-14-173-2023, https://doi.org/10.5194/esd-14-173-2023, 2023
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Multi-instrument records with varying signal-to-noise ratios are becoming increasingly common as legacy sensors are upgraded, and data sets are modernized. Induced changes in higher-order statistics such as the autocorrelation and variance are not always well captured by cross-calibration schemes. Here we investigate using synthetic examples how strong resulting biases can be and how they can be avoided in order to make reliable statements about changes in the resilience of a system.
Kathrin Wehrli, Fei Luo, Mathias Hauser, Hideo Shiogama, Daisuke Tokuda, Hyungjun Kim, Dim Coumou, Wilhelm May, Philippe Le Sager, Frank Selten, Olivia Martius, Robert Vautard, and Sonia I. Seneviratne
Earth Syst. Dynam., 13, 1167–1196, https://doi.org/10.5194/esd-13-1167-2022, https://doi.org/10.5194/esd-13-1167-2022, 2022
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The ExtremeX experiment was designed to unravel the contribution of processes leading to the occurrence of recent weather and climate extremes. Global climate simulations are carried out with three models. The results show that in constrained experiments, temperature anomalies during heatwaves are well represented, although climatological model biases remain. Further, a substantial contribution of both atmospheric circulation and soil moisture to heat extremes is identified.
Oliver López-Corona, Melanie Kolb, Elvia Ramírez-Carrillo, and Jon Lovett
Earth Syst. Dynam., 13, 1145–1155, https://doi.org/10.5194/esd-13-1145-2022, https://doi.org/10.5194/esd-13-1145-2022, 2022
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Climate change, the loss of biodiversity and land-use change, among others, have been recognized as main human perturbations to Earth system dynamics, the so-called planetary boundaries. Effort has been made to understand how to define a safe operating space for humanity (accepted levels of these perturbations). In this work we address the problem by assessing the Earth's capacity to respond to these perturbations, a capacity that the planet is losing.
Lizz Ultee, Sloan Coats, and Jonathan Mackay
Earth Syst. Dynam., 13, 935–959, https://doi.org/10.5194/esd-13-935-2022, https://doi.org/10.5194/esd-13-935-2022, 2022
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Global climate models suggest that droughts could worsen over the coming century. In mountain basins with glaciers, glacial runoff can ease droughts, but glaciers are retreating worldwide. We analyzed how one measure of drought conditions changes when accounting for glacial runoff that changes over time. Surprisingly, we found that glacial runoff can continue to buffer drought throughout the 21st century in most cases, even as the total amount of runoff declines.
Mikhail Y. Verbitsky
Earth Syst. Dynam., 13, 879–884, https://doi.org/10.5194/esd-13-879-2022, https://doi.org/10.5194/esd-13-879-2022, 2022
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Reconstruction and explanation of past climate evolution using proxy records is the essence of paleoclimatology. In this study, we use dimensional analysis of a dynamical model on orbital timescales to recognize theoretical limits of such forensic inquiries. Specifically, we demonstrate that major past events could have been produced by physically dissimilar processes making the task of paleo-record attribution to a particular phenomenon fundamentally difficult if not impossible.
Assaf Hochman, Francesco Marra, Gabriele Messori, Joaquim G. Pinto, Shira Raveh-Rubin, Yizhak Yosef, and Georgios Zittis
Earth Syst. Dynam., 13, 749–777, https://doi.org/10.5194/esd-13-749-2022, https://doi.org/10.5194/esd-13-749-2022, 2022
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Gaining a complete understanding of extreme weather, from its physical drivers to its impacts on society, is important in supporting future risk reduction and adaptation measures. Here, we provide a review of the available scientific literature, knowledge gaps and key open questions in the study of extreme weather events over the vulnerable eastern Mediterranean region.
Peter D. Nooteboom, Peter K. Bijl, Christian Kehl, Erik van Sebille, Martin Ziegler, Anna S. von der Heydt, and Henk A. Dijkstra
Earth Syst. Dynam., 13, 357–371, https://doi.org/10.5194/esd-13-357-2022, https://doi.org/10.5194/esd-13-357-2022, 2022
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Having descended through the water column, microplankton in ocean sediments represents the ocean surface environment and is used as an archive of past and present surface oceanographic conditions. However, this microplankton is advected by turbulent ocean currents during its sinking journey. We use simulations of sinking particles to define ocean bottom provinces and detect these provinces in datasets of sedimentary microplankton, which has implications for palaeoclimate reconstructions.
Jonathan F. Donges, Wolfgang Lucht, Sarah E. Cornell, Jobst Heitzig, Wolfram Barfuss, Steven J. Lade, and Maja Schlüter
Earth Syst. Dynam., 12, 1115–1137, https://doi.org/10.5194/esd-12-1115-2021, https://doi.org/10.5194/esd-12-1115-2021, 2021
Ben Marzeion
Earth Syst. Dynam., 12, 1057–1060, https://doi.org/10.5194/esd-12-1057-2021, https://doi.org/10.5194/esd-12-1057-2021, 2021
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The oceans are typically darker than land surfaces. Expanding oceans through sea-level rise may thus lead to a darker planet Earth, reflecting less sunlight. The additionally absorbed sunlight may heat planet Earth, leading to further sea-level rise. Here, we provide a rough estimate of the strength of this feedback: it turns out to be very weak, but clearly positive, thereby destabilizing the Earth system.
Benjamin M. Sanderson, Angeline G. Pendergrass, Charles D. Koven, Florent Brient, Ben B. B. Booth, Rosie A. Fisher, and Reto Knutti
Earth Syst. Dynam., 12, 899–918, https://doi.org/10.5194/esd-12-899-2021, https://doi.org/10.5194/esd-12-899-2021, 2021
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Emergent constraints promise a pathway to the reduction in climate projection uncertainties by exploiting ensemble relationships between observable quantities and unknown climate response parameters. This study considers the robustness of these relationships in light of biases and common simplifications that may be present in the original ensemble of climate simulations. We propose a classification scheme for constraints and a number of practical case studies.
Ralf Weisse, Inga Dailidienė, Birgit Hünicke, Kimmo Kahma, Kristine Madsen, Anders Omstedt, Kevin Parnell, Tilo Schöne, Tarmo Soomere, Wenyan Zhang, and Eduardo Zorita
Earth Syst. Dynam., 12, 871–898, https://doi.org/10.5194/esd-12-871-2021, https://doi.org/10.5194/esd-12-871-2021, 2021
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The study is part of the thematic Baltic Earth Assessment Reports – a series of review papers summarizing the knowledge around major Baltic Earth science topics. It concentrates on sea level dynamics and coastal erosion (its variability and change). Many of the driving processes are relevant in the Baltic Sea. Contributions vary over short distances and across timescales. Progress and research gaps are described in both understanding details in the region and in extending general concepts.
Eric D. Galbraith
Earth Syst. Dynam., 12, 671–687, https://doi.org/10.5194/esd-12-671-2021, https://doi.org/10.5194/esd-12-671-2021, 2021
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Scientific tradition has left a gap between the study of humans and the rest of the Earth system. Here, a holistic approach to the global human system is proposed, intended to provide seamless integration with natural sciences. At the core, this focuses on what humans are doing with their time, what the bio-physical outcomes of those activities are, and what the lived experience is. The quantitative approach can facilitate data analysis across scales and integrated human–Earth system modeling.
Shaun Lovejoy
Earth Syst. Dynam., 12, 469–487, https://doi.org/10.5194/esd-12-469-2021, https://doi.org/10.5194/esd-12-469-2021, 2021
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Monthly scale, seasonal-scale, and decadal-scale modeling of the atmosphere is possible using the principle of energy balance. Yet the scope of classical approaches is limited because they do not adequately deal with energy storage in the Earth system. We show that the introduction of a vertical coordinate implies that the storage has a huge memory. This memory can be used for macroweather (long-range) forecasts and climate projections.
Shaun Lovejoy
Earth Syst. Dynam., 12, 489–511, https://doi.org/10.5194/esd-12-489-2021, https://doi.org/10.5194/esd-12-489-2021, 2021
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Radiant energy is exchanged between the Earth's surface and outer space. Some of the local imbalances are stored in the subsurface, and some are transported horizontally. In Part 1 I showed how – in a horizontally homogeneous Earth – these classical approaches imply long-memory storage useful for seasonal forecasting and multidecadal projections. In this Part 2, I show how to apply these results to the heterogeneous real Earth.
Gabriele Messori, Nili Harnik, Erica Madonna, Orli Lachmy, and Davide Faranda
Earth Syst. Dynam., 12, 233–251, https://doi.org/10.5194/esd-12-233-2021, https://doi.org/10.5194/esd-12-233-2021, 2021
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Atmospheric jets are a key component of the climate system and of our everyday lives. Indeed, they affect human activities by influencing the weather in many mid-latitude regions. However, we still lack a complete understanding of their dynamical properties. In this study, we try to relate the understanding gained in idealized computer simulations of the jets to our knowledge from observations of the real atmosphere.
Kyung-Sook Yun, Axel Timmermann, and Malte F. Stuecker
Earth Syst. Dynam., 12, 121–132, https://doi.org/10.5194/esd-12-121-2021, https://doi.org/10.5194/esd-12-121-2021, 2021
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Changes in the Hadley and Walker cells cause major climate disruptions across our planet. What has been overlooked so far is the question of whether these two circulations can shift their positions in a synchronized manner. We here show the synchronized spatial shifts between Walker and Hadley cells and further highlight a novel aspect of how tropical sea surface temperature anomalies can couple these two circulations. The re-positioning has important implications for extratropical rainfall.
Mikhail Y. Verbitsky and Michel Crucifix
Earth Syst. Dynam., 12, 63–67, https://doi.org/10.5194/esd-12-63-2021, https://doi.org/10.5194/esd-12-63-2021, 2021
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We demonstrate here that a single physical phenomenon, specifically, a naturally changing balance between intensities of temperature advection and diffusion in the viscous ice media, may influence the entire spectrum of the Pleistocene variability from orbital to millennial timescales.
Gerrit Lohmann
Earth Syst. Dynam., 11, 1195–1208, https://doi.org/10.5194/esd-11-1195-2020, https://doi.org/10.5194/esd-11-1195-2020, 2020
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With the development of computer capacities, simpler models like energy balance models have not disappeared, and a stronger emphasis has been given to the concept of a hierarchy of models. The global temperature is calculated by the radiation budget through the incoming energy from the Sun and the outgoing energy from the Earth. The argument that the temperature can be calculated by a simple radiation budget is revisited, and it is found that the effective heat capacity matters.
Benjamin Sanderson
Earth Syst. Dynam., 11, 721–735, https://doi.org/10.5194/esd-11-721-2020, https://doi.org/10.5194/esd-11-721-2020, 2020
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Here, we assess the degree to which the idealized responses to transient forcing increase and step change forcing increase relate to warming under future scenarios. We find a possible explanation for the poor performance of transient metrics (relative to equilibrium response) as a metric of high-emission future warming in terms of their sensitivity to non-equilibrated initial conditions, and propose alternative metrics which better describe warming under high mitigation scenarios.
Benjamin Sanderson
Earth Syst. Dynam., 11, 563–577, https://doi.org/10.5194/esd-11-563-2020, https://doi.org/10.5194/esd-11-563-2020, 2020
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Levels of future temperature change are often used interchangeably with carbon budget allowances in climate policy, a relatively robust relationship on the timescale of this century. However, recent advances in understanding underline that continued warming after net-zero emissions have been achieved cannot be ruled out by observations of warming to date. We consider here how such behavior could be constrained and how policy can be framed in the context of these uncertainties.
Jonathan F. Donges, Jobst Heitzig, Wolfram Barfuss, Marc Wiedermann, Johannes A. Kassel, Tim Kittel, Jakob J. Kolb, Till Kolster, Finn Müller-Hansen, Ilona M. Otto, Kilian B. Zimmerer, and Wolfgang Lucht
Earth Syst. Dynam., 11, 395–413, https://doi.org/10.5194/esd-11-395-2020, https://doi.org/10.5194/esd-11-395-2020, 2020
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We present an open-source software framework for developing so-called
world–Earth modelsthat link physical, chemical and biological processes with social, economic and cultural processes to study the Earth system's future trajectories in the Anthropocene. Due to its modular structure, the software allows interdisciplinary studies of global change and sustainable development that combine stylized model components from Earth system science, climatology, economics, ecology and sociology.
Mikhail Y. Verbitsky and Michel Crucifix
Earth Syst. Dynam., 11, 281–289, https://doi.org/10.5194/esd-11-281-2020, https://doi.org/10.5194/esd-11-281-2020, 2020
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Using the central theorem of dimensional analysis, the π theorem, we show that the relationship between the amplitude and duration of glacial cycles is governed by a property of scale invariance that does not depend on the physical nature of the underlying positive and negative feedbacks incorporated by the system. It thus turns out to be one of the most fundamental properties of the Pleistocene climate.
Miguel D. Mahecha, Fabian Gans, Gunnar Brandt, Rune Christiansen, Sarah E. Cornell, Normann Fomferra, Guido Kraemer, Jonas Peters, Paul Bodesheim, Gustau Camps-Valls, Jonathan F. Donges, Wouter Dorigo, Lina M. Estupinan-Suarez, Victor H. Gutierrez-Velez, Martin Gutwin, Martin Jung, Maria C. Londoño, Diego G. Miralles, Phillip Papastefanou, and Markus Reichstein
Earth Syst. Dynam., 11, 201–234, https://doi.org/10.5194/esd-11-201-2020, https://doi.org/10.5194/esd-11-201-2020, 2020
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The ever-growing availability of data streams on different subsystems of the Earth brings unprecedented scientific opportunities. However, researching a data-rich world brings novel challenges. We present the concept of
Earth system data cubesto study the complex dynamics of multiple climate and ecosystem variables across space and time. Using a series of example studies, we highlight the potential of effectively considering the full multivariate nature of processes in the Earth system.
Christine Ramadhin and Chuixiang Yi
Earth Syst. Dynam., 11, 13–16, https://doi.org/10.5194/esd-11-13-2020, https://doi.org/10.5194/esd-11-13-2020, 2020
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Here we explore ancient climate transitions from warm periods to ice ages and from ice ages to warm periods of the last 400 000 years. The changeovers from warm to ice age conditions are slower than those from ice age to warm conditions. We propose the presence of strong negative sea–ice feedbacks may be responsible for slowing the transition from warm to full ice age conditions. By improving understanding of past abrupt changes, we may have improved knowledge of future system behavior.
M. Levent Kavvas, Tongbi Tu, Ali Ercan, and James Polsinelli
Earth Syst. Dynam., 11, 1–12, https://doi.org/10.5194/esd-11-1-2020, https://doi.org/10.5194/esd-11-1-2020, 2020
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After deriving a fractional continuity equation, a previously-developed equation for water flux in porous media was combined with the Dupuit approximation to obtain an equation for groundwater motion in multi-fractional space in unconfined aquifers. As demonstrated in the numerical application, the orders of the fractional space and time derivatives modulate the speed of groundwater table evolution, slowing the process with the decrease in the powers of the fractional derivatives from 1.
Krishna-Pillai Sukumara-Pillai Krishnamohan, Govindasamy Bala, Long Cao, Lei Duan, and Ken Caldeira
Earth Syst. Dynam., 10, 885–900, https://doi.org/10.5194/esd-10-885-2019, https://doi.org/10.5194/esd-10-885-2019, 2019
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We find that sulfate aerosols are more effective in cooling the climate system when they reside higher in the stratosphere. We explain this sensitivity in terms of radiative forcing at the top of the atmosphere. Sulfate aerosols heat the stratospheric layers, causing an increase in stratospheric water vapor content and a reduction in high clouds. These changes are larger when aerosols are prescribed near the tropopause, offsetting part of the aerosol-induced negative radiative forcing/cooling.
Davide Faranda, Yuzuru Sato, Gabriele Messori, Nicholas R. Moloney, and Pascal Yiou
Earth Syst. Dynam., 10, 555–567, https://doi.org/10.5194/esd-10-555-2019, https://doi.org/10.5194/esd-10-555-2019, 2019
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We show how the complex dynamics of the jet stream at midlatitude can be described by a simple mathematical model. We match the properties of the model to those obtained by the jet data derived from observations.
Stefanie Talento, Lea Schneider, Johannes Werner, and Jürg Luterbacher
Earth Syst. Dynam., 10, 347–364, https://doi.org/10.5194/esd-10-347-2019, https://doi.org/10.5194/esd-10-347-2019, 2019
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Quantifying hydroclimate variability beyond the instrumental period is essential for putting fluctuations into long-term perspective and providing a validation for climate models. We evaluate, in a virtual setup, the potential for generating millennium-long summer precipitation reconstructions over south-eastern Asia.
We find that performing a real-world reconstruction with the current available proxy network is indeed feasible, as virtual-world reconstructions are skilful in most areas.
Lennert B. Stap, Peter Köhler, and Gerrit Lohmann
Earth Syst. Dynam., 10, 333–345, https://doi.org/10.5194/esd-10-333-2019, https://doi.org/10.5194/esd-10-333-2019, 2019
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Processes causing the same global-average radiative forcing might lead to different global temperature changes. We expand the theoretical framework by which we calculate paleoclimate sensitivity with an efficacy factor. Applying the revised approach to radiative forcing caused by CO2 and land ice albedo perturbations, inferred from data of the past 800 000 years, gives a new paleo-based estimate of climate sensitivity.
Luis Gimeno-Sotelo, Raquel Nieto, Marta Vázquez, and Luis Gimeno
Earth Syst. Dynam., 10, 121–133, https://doi.org/10.5194/esd-10-121-2019, https://doi.org/10.5194/esd-10-121-2019, 2019
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Ice melting at the scale of inter-annual fluctuations against the trend is favoured by an increase in moisture transport in summer, autumn, and winter and a decrease in spring. On a daily basis extreme humidity transport increases the formation of ice in winter and decreases it in spring, summer, and autumn; in these three seasons it thus contributes to Arctic sea ice melting. These patterns differ sharply from that linked to decline, especially in summer when the opposite trend applies.
Iago Algarra, Jorge Eiras-Barca, Gonzalo Miguez-Macho, Raquel Nieto, and Luis Gimeno
Earth Syst. Dynam., 10, 107–119, https://doi.org/10.5194/esd-10-107-2019, https://doi.org/10.5194/esd-10-107-2019, 2019
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We analyse moisture transport triggered by the Great Plains low-level jet (GPLLJ), a maximum in wind speed fields located within the first kilometre of the US Great Plain's troposphere, through the innovative Eulerian Weather Research and Forecasting Model tracer tool. Much moisture associated with this low-level jet has been found in northern regions located in a vast extension of the continent, highlighting the key role played by the GPLLJ in North America's advective transport of moisture.
Gerrit Lohmann
Earth Syst. Dynam., 9, 1279–1281, https://doi.org/10.5194/esd-9-1279-2018, https://doi.org/10.5194/esd-9-1279-2018, 2018
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Long-term sea surface temperature trends and variability are underestimated in models compared to paleoclimate data. The idea is presented that the trends and variability are related, which is elaborated in a conceptual model framework. The temperature spectrum can be used to estimate the timescale-dependent climate sensitivity.
Mark M. Dekker, Anna S. von der Heydt, and Henk A. Dijkstra
Earth Syst. Dynam., 9, 1243–1260, https://doi.org/10.5194/esd-9-1243-2018, https://doi.org/10.5194/esd-9-1243-2018, 2018
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We introduce a framework of cascading tipping, i.e. a sequence of abrupt transitions occurring because a transition in one system affects the background conditions of another system. Using bifurcation theory, various types of these events are considered and early warning indicators are suggested. An illustration of such an event is found in a conceptual model, coupling the North Atlantic Ocean with the equatorial Pacific. This demonstrates the possibility of events such as this in nature.
Uwe Mikolajewicz, Florian Ziemen, Guido Cioni, Martin Claussen, Klaus Fraedrich, Marvin Heidkamp, Cathy Hohenegger, Diego Jimenez de la Cuesta, Marie-Luise Kapsch, Alexander Lemburg, Thorsten Mauritsen, Katharina Meraner, Niklas Röber, Hauke Schmidt, Katharina D. Six, Irene Stemmler, Talia Tamarin-Brodsky, Alexander Winkler, Xiuhua Zhu, and Bjorn Stevens
Earth Syst. Dynam., 9, 1191–1215, https://doi.org/10.5194/esd-9-1191-2018, https://doi.org/10.5194/esd-9-1191-2018, 2018
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Model experiments show that changing the sense of Earth's rotation has relatively little impact on the globally and zonally averaged energy budgets but leads to large shifts in continental climates and patterns of precipitation. The retrograde world is greener as the desert area shrinks. Deep water formation shifts from the North Atlantic to the North Pacific with subsequent changes in ocean overturning. Over large areas of the Indian Ocean, cyanobacteria dominate over bulk phytoplankton.
Axel Kleidon and Maik Renner
Earth Syst. Dynam., 9, 1127–1140, https://doi.org/10.5194/esd-9-1127-2018, https://doi.org/10.5194/esd-9-1127-2018, 2018
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Turbulent fluxes represent an efficient way to transport heat and moisture from the surface into the atmosphere. Due to their inherently highly complex nature, they are commonly described by semiempirical relationships. What we show here is that these fluxes can also be predicted by viewing them as the outcome of a heat engine that operates between the warm surface and the cooler atmosphere and that works at its limit.
Marc Schleiss
Earth Syst. Dynam., 9, 955–968, https://doi.org/10.5194/esd-9-955-2018, https://doi.org/10.5194/esd-9-955-2018, 2018
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The present study aims at explaining how intermittency (i.e., the alternation of dry and rainy periods) affects the rate at which precipitation extremes increase with temperature. Using high-resolution rainfall data from 99 stations in the United States, we show that at scales beyond a few hours, intermittency causes rainfall extremes to deviate substantially from Clausius–Clapeyron. A new model is proposed to better represent and predict these changes across scales.
Ragnhild Bieltvedt Skeie, Terje Berntsen, Magne Aldrin, Marit Holden, and Gunnar Myhre
Earth Syst. Dynam., 9, 879–894, https://doi.org/10.5194/esd-9-879-2018, https://doi.org/10.5194/esd-9-879-2018, 2018
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A key question in climate science is how the global mean surface temperature responds to changes in greenhouse gases. This dependency is quantified by the climate sensitivity, which is determined by the complex feedbacks in the climate system. In this study observations of past climate change are used to estimate this sensitivity. Our estimate is consistent with values for the equilibrium climate sensitivity estimated by complex climate models but sensitive to the use of uncertain input data.
Dieter Gerten, Martin Schönfeld, and Bernhard Schauberger
Earth Syst. Dynam., 9, 849–863, https://doi.org/10.5194/esd-9-849-2018, https://doi.org/10.5194/esd-9-849-2018, 2018
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Cultural processes are underrepresented in Earth system models, although they decisively shape humanity’s planetary imprint. We set forth ideas on how Earth system analysis can be enriched by formalising aspects of religion (understood broadly as a collective belief in things held sacred). We sketch possible modelling avenues (extensions of existing Earth system models and new co-evolutionary models) and suggest research primers to explicate and quantify mental aspects of the Anthropocene.
Stefan Lange
Earth Syst. Dynam., 9, 627–645, https://doi.org/10.5194/esd-9-627-2018, https://doi.org/10.5194/esd-9-627-2018, 2018
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The bias correction of surface downwelling longwave and shortwave radiation using parametric quantile mapping methods is shown to be more effective (i) at the daily than at the monthly timescale, (ii) if the spatial resolution gap between the reference data and the data to be corrected is bridged in a more suitable manner than by bilinear interpolation, and (iii) if physical upper limits are taken into account during the adjustment of either radiation component.
Camilla Mathison, Chetan Deva, Pete Falloon, and Andrew J. Challinor
Earth Syst. Dynam., 9, 563–592, https://doi.org/10.5194/esd-9-563-2018, https://doi.org/10.5194/esd-9-563-2018, 2018
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Sowing and harvest dates are a significant source of uncertainty within crop models. South Asia is one region with a large uncertainty. We aim to provide more accurate sowing and harvest dates than currently available and that are relevant for climate impact assessments. This method reproduces the present day sowing and harvest dates for most parts of India and when applied to two future periods provides a useful way of modelling potential growing season adaptations to changes in future climate.
Dario A. Zappalà, Marcelo Barreiro, and Cristina Masoller
Earth Syst. Dynam., 9, 383–391, https://doi.org/10.5194/esd-9-383-2018, https://doi.org/10.5194/esd-9-383-2018, 2018
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The dynamics of our climate involves multiple timescales, and while a lot of work has been devoted to quantifying variations in time-averaged variables or variations in their seasonal cycles, variations in daily variability that occur over several decades still remain poorly understood. Here we analyse daily surface air temperature and demonstrate that inter-decadal changes can be precisely identified and quantified with the Hilbert analysis tool.
Nadine Mengis, David P. Keller, and Andreas Oschlies
Earth Syst. Dynam., 9, 15–31, https://doi.org/10.5194/esd-9-15-2018, https://doi.org/10.5194/esd-9-15-2018, 2018
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The Systematic Correlation Matrix Evaluation (SCoMaE) method applies statistical information to systematically select, transparent, nonredundant indicators for a comprehensive assessment of the Earth system state. We show that due to changing climate forcing, such as anthropogenic climate change, the ad hoc assessment indicators might need to be reevaluated. Within an iterative process, this method would allow us to select scientifically consistent and societally relevant assessment indicators.
Liga Bethere, Juris Sennikovs, and Uldis Bethers
Earth Syst. Dynam., 8, 951–962, https://doi.org/10.5194/esd-8-951-2017, https://doi.org/10.5194/esd-8-951-2017, 2017
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We define three new climate indices based on monthly mean temperature and total precipitation values that describe the main features of the climate in the Baltic states. Higher values in each index correspond to (1) less distinct seasonality and (2) warmer and (3) wetter climate. It was calculated that in the future all three indices will increase. Such indices summarize and illustrate the spatial features of the Baltic climate, and they can be used in further analysis of climate change impact.
Tongbi Tu, Ali Ercan, and M. Levent Kavvas
Earth Syst. Dynam., 8, 931–949, https://doi.org/10.5194/esd-8-931-2017, https://doi.org/10.5194/esd-8-931-2017, 2017
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Groundwater level fluctuations in confined aquifer wells with long observations exhibit site-specific fractal scaling behavior, and the underlying distribution exhibits either non-Gaussian characteristics, which may be fitted by the Lévy stable distribution, or Gaussian characteristics. The estimated Hurst exponent is highly dependent on the length and the specific time interval of the time series. The MF-DFA and MMA analyses showed that different levels of multifractality exist.
Axel Kleidon and Maik Renner
Earth Syst. Dynam., 8, 849–864, https://doi.org/10.5194/esd-8-849-2017, https://doi.org/10.5194/esd-8-849-2017, 2017
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We provide an explanation why land temperatures respond more strongly to global warming than ocean temperatures, a robust finding in observations and models that has so far not been understood well. We explain it by the different ways by which ocean and land surfaces buffer the strong variation in solar radiation and demonstrate this with a simple, physically based model. Our explanation also illustrates why nighttime temperatures warm more strongly, another robust finding of global warming.
Milan Flach, Fabian Gans, Alexander Brenning, Joachim Denzler, Markus Reichstein, Erik Rodner, Sebastian Bathiany, Paul Bodesheim, Yanira Guanche, Sebastian Sippel, and Miguel D. Mahecha
Earth Syst. Dynam., 8, 677–696, https://doi.org/10.5194/esd-8-677-2017, https://doi.org/10.5194/esd-8-677-2017, 2017
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Anomalies and extremes are often detected using univariate peak-over-threshold approaches in the geoscience community. The Earth system is highly multivariate. We compare eight multivariate anomaly detection algorithms and combinations of data preprocessing. We identify three anomaly detection algorithms that outperform univariate extreme event detection approaches. The workflows have the potential to reveal novelties in data. Remarks on their application to real Earth observations are provided.
James Hansen, Makiko Sato, Pushker Kharecha, Karina von Schuckmann, David J. Beerling, Junji Cao, Shaun Marcott, Valerie Masson-Delmotte, Michael J. Prather, Eelco J. Rohling, Jeremy Shakun, Pete Smith, Andrew Lacis, Gary Russell, and Reto Ruedy
Earth Syst. Dynam., 8, 577–616, https://doi.org/10.5194/esd-8-577-2017, https://doi.org/10.5194/esd-8-577-2017, 2017
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Global temperature now exceeds +1.25 °C relative to 1880–1920, similar to warmth of the Eemian period. Keeping warming less than 1.5 °C or CO2 below 350 ppm now requires extraction of CO2 from the air. If rapid phaseout of fossil fuel emissions begins soon, most extraction can be via improved agricultural and forestry practices. In contrast, continued high emissions places a burden on young people of massive technological CO2 extraction with large risks, high costs and uncertain feasibility.
Cited articles
Aakala, T., Pasanen, L., Helama, S., Vakkari, V., Drobyshev, I., Seppä, H., Kuuluvainen, T., Stivrins, N., Wallenius, T., Vasander, H., and Holmström, L.: Multiscale variation in drought controlled historical forest fire activity in the boreal forests of eastern Fennoscandia, Ecol. Monogr., 88, 74–91, 2018.
Aalto, J., Pirinen, P., and Jylhä, K.: New gridded daily climatology of Finland: permutation-based uncertainty estimates and temporal trends in climate, J. Geophys. Res.-Atmos., 121, 3807–3823, https://doi.org/10.1002/2015JD024651, 2016.
Aarnes, O. J., Breivik, Ø., and Reistad, M.: Wave extremes in the northeast Atlantic, J. Climate, 25, 1529–1543, https://doi.org/10.1175/jcli-d-11-00132.1, 2012.
Abadie, L. M., Sainz de Murieta, E., and Galarraga, I.: Climate risk
assessment under uncertainty: an application to main European coastal cities,
Frontiers in Marine Science, 3, 265, https://doi.org/10.3389/fmars.2016.00265,
2016.
Abadie, L. M., Galarraga, I., Markandya, A., and Sainz de Murieta, E.: Risk measures and the distribution of damage curves for 600 European coastal cities, Environ. Res. Lett., 14, 064021, https://doi.org/10.1088/1748-9326/ab185c, 2019.
Abild, J. and Nielsen, B.: Extreme values of wind speeds in Denmark, Technical Report M-2842, Risø National Laboratory, Roskilde, Denmark, 1991.
Alfieri, L., Burek, P., Feyen, L., and Forzieri, G.: Global warming increases the frequency of river floods in Europe, Hydrol. Earth Syst. Sci., 19, 2247–2260, https://doi.org/10.5194/hess-19-2247-2015, 2015.
Andersen, J. H., Carstensen, J., Conley, D. J., Dromph, K., Fleming-Lehtinen, V., Gustafsson, B. G., Josefson, A. B., Norokko, A., Villnäs, A., and Murray, C.: Long-term temporal and spatial trends in eutrophication status of the Baltic Sea, Biol. Rev., 92, 135–149, https://doi.org/10.1111/brv.12221, 2017.
Andersson, T. and Nilsson, S.: Topographically induced convective snowbands over the Baltic Sea and their precipitation distribution, Weather Forecast., 5, 299–312, 1990.
Apsīte, E., Bakute, A., Elferts, D., Kurpniece, L., and Pallo, I.: Climate change impacts on river runoff in Latvia, Clim. Res., 48, 57–71, 2011.
Arheimer, B. and Lindström, G.: Climate impact on floods: changes in high flows in Sweden in the past and the future (1911–2100), Hydrol. Earth Syst. Sci., 19, 771–784, https://doi.org/10.5194/hess-19-771-2015, 2015.
Åström, D. O., Tornevi, A., Ebi, K. L., Rocklöv, J., and Forsberg, B.: Evolution of minimum mortality temperature in Stockholm, Sweden, 1901–2009, Environ. Health Persp., 124, 740–744, https://doi.org/10.1289/ehp.1509692, 2016.
BACC Author Team:. Assessment of Climate Change for the Baltic Sea Basin, Springer, Berlin, Heidelberg, 474 pp., 2008.
BACC Author Team: Second Assessment of Climate Change for the Baltic Sea
Basin,
Springer, Cham,
501 pp., https://doi.org/10.1007/978-3-319-16006-1, 2015.
Backman, L., Aalto, T., Lehtonen, I., Thölix, L., Vanha-Majamaa, I., and
Venäläinen, A.: Climate change increases the risk of forest fires, in:
Climate Change and Forest Management Affect Forest Fire Risk in Fennoscandia,
edited by: Aalto, J. and Venäläinen, A., Finnish Meteorological Institute Reports 2021:3, Finnish Meteorological Institute, Helsinki, 66–91, 2021.
Baker-Austin, C., Trinanes, J. A., Salmenlinna, S., Löfdahl, M., Siitonen, A., Taylor, N. G., and Martinez-Urtaza, J.: Heat wave-associated vibriosis, Sweden and Finland, 2014, Emerg. Infect. Dis., 22, 1216–1220, https://doi.org/10.3201/eid2207.151996, 2016.
Barcikowska, M. J., Weaver, S. J., Feser, F., Russo, S., Schenk, F., Stone, D. A., Wehner, M. F., and Zahn, M.: Euro-Atlantic winter storminess and precipitation extremes under 1.5 ∘C vs. 2 ∘C warming scenarios, Earth Syst. Dynam., 9, 679–699, https://doi.org/10.5194/esd-9-679-2018, 2018.
Barnes, E. A.: Revisiting the evidence linking Arctic amplification to extreme weather in midlatitudes, Geophys. Res. Lett., 40, 1–6, https://doi.org/10.1002/grl.50880, 2013.
Bastine, D., Larsén, X. G., Witha, B., Dörenkämper, M., and Gottschall, J.: Extreme winds in the New European Wind Atlas, J. Phys. Conf. Ser., 1102, 012006, https://doi.org/10.1088/1742-6596/1102/1/012006, 2018.
Beldring, S., Engen-Skaugen, T., Forland, E. J., and Roald, L. A.: Climate change impacts on hydrological processes in Norway based on two methods for transferring regional climate model results to meteorological station sites, Tellus A, 60, 439–450, 2008.
Belusic, D., Berg, P., Bozhinova, D., Bärring, L., Döscher, R.,
Eronn, A., Kjellström, E., Klehmet, K., Martins, H., Nilsson, C.,
Olsson, J., Photiadou, C., Segersson, D., and Strandberg, G.: Climate Extremes
for Sweden, edited by: Döscher, R., SMHI, https://doi.org/10.17200/Climate_Extremes_Sweden, 2019.
Belušić, D., de Vries, H., Dobler, A., Landgren, O.,
Lind, P., Lindstedt, D., Pedersen, R. A., Sánchez-Perrino, J. C.,
Toivonen, E., van Ulft, B., Wang, F., Andrae, U., Batrak, Y.,
Kjellström, E., Lenderink, G., Nikulin, G., Pietikäinen, J.-P.,
Rodríguez-Camino, E., Samuelsson, P., van Meijgaard, E., and Wu, M.:
HCLIM38: a flexible regional climate model applicable for different climate
zones from coarse to convection-permitting scales, Geosci. Model Dev., 13,
1311–1333, https://doi.org/10.5194/gmd-13-1311-2020, 2020.
Benestad, R. E.: How often can we expect a record event? Clim. Res., 25, 3–13, 2003.
Benestad, R. E.: Can we expect more extreme precipitation on the monthly time scale? J. Climate, 19, 630–637, 2006.
Benestad, R. E., Hanssen-Bauer, I., and Førland, E. J.: An evaluation of statistical models for downscaling precipitation and their ability to capture long-term trends, Int. J. Climatol., 27, 649–665, 2007.
Bengtsson, L.: The global atmospheric water cycle, Environ. Res. Lett., 5, 025002, https://doi.org/10.1088/1748-9326/5/2/025002, 2010.
Berezowski, T., Szcześniak, M., Kardel, I., Michałowski, R., Okruszko, T., Mezghani, A., and Piniewski, M.: CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins, Earth Syst. Sci. Data, 8, 127–139, https://doi.org/10.5194/essd-8-127-2016, 2016.
Berg, P., Norin, L., and Olsson, J.: Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden, J. Hydrol., 541, 6–13, https://doi.org/10.1016/j.jhydrol.2015.11.031, 2016.
Bergström, H.: Distribution of extreme wind speed, Wind Energy Report WE 92:2, Technical report, Department of Meteorology, Uppsala University, Sweden, 1992.
Bergström, H. and Söderberg, S.: Wind Mapping of Sweden,
Elforsk Report 09:04, 2008, available at: http://space.hgo.se/wpcvi/wp-content/uploads/import/pdf/Kunskapsdatabas vindresurser/Vindmatning/09_04_rapport.pdf
(last access: 17 December 2021), 2018.
Bergström, M., Erikstad. S., and Ehlers, S.: The influence of model fidelity and uncertainties in the conceptual design of Arctic maritime transport systems, Ship Technology Research, Schiffstechnik, 64, 40–64, 2017.
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E.,
Vrac, M., Mentaschi, L., and Widmann, M.: Higher potential compound flood risk
in Northern Europe under anthropogenic climate change, Science Advances, 18, 5, eaaw5531, https://doi.org/10.1126/sciadv.aaw5531, 2019.
Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, G. P., Hulst, S., Pettersson, H., Behrens, A., and Männik, A.: Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea, Ocean Eng., 152, 57–71, https://doi.org/10.1016/j.oceaneng.2018.01.048, 2018.
Blackport, R. and Screen, J. A.: Insignificant effect of Arctic amplification
on the amplitude of midlatitude atmospheric waves, Science Advances, 6,
eaay2880, https://doi.org/10.1126/sciadv.aay2880, 2020.
Blessing, S., Fraedrich, K., Junge, M., Kunz, T., and Linkheit, F.: Daily North Atlantic Oscillation (NAO) index: statistics and its stratospheric polar vortex dependence, Meteorol. Z, 14, 763–769, 2005.
Blöschl, G.,Hall, J.,Parajka, J., Perdigão, R. A. P.,
Merz, B., Arheimer, B., Aronica, G., T., Bilibashi, A., Bonacci, O., Borga, M.,
Čanjevac, I., Castellarin, A., Chirico, G., B., Claps, P., Fiala, K.,
Frolova, N., Gorbachova, L., Hannaford, A. G., Harrigan, S., Kireeva, M.,
Kiss, A., Kjeldsen, T. R., Kohnová, S., Koskela, J., Ledvinka, O.,
Macdonald, N., Mavrova-Guirguinova, M., Mediero, L., Merz, R., Molnar, P.,
Montanari, A., Murphy, C., Osuch, M., Ovcharuk, V., Radevski, I., Rogger, M.,
Salinas, J. L., Sauquet, E., Šraj, M., Szolgay, J., Viglione, A.,
Volpi, E., Wilson, D., Zaimi, K., and Živković, N.: Changing climate shifts timing of European floods, Science, 357, 588–590, 2017.
Bogdanov, V. I. and Malova, T. I.: On assessments of the height of the largest catastrophic flood that occurred in St. Petersburg in the Neva River mouth on November 7 (19), 1824, Dokl. Earth Sci., 424, 123–126, 2009.
Boland, E. J. D., Bracegirdle, J., and Shuckburgh, E. F.:
Assessment of sea ice-atmosphere links in CMIP5 models, Clim. Dynam., 49, 683–702, https://doi.org/10.1007/s00382-016-3367-1, 2017.
Bondur, V. G.: Satellite monitoring of wildfires during the anomalous heat wave of 2010 in Russia, Izv. Atmos. Ocean. Phy., 47, 1039–1048, https://doi.org/10.1134/S0001433811090040, 2011.
Bordi, I., Fraedrich, K., and Sutera, A.: Observed drought and wetness trends in Europe: an update, Hydrol. Earth Syst. Sci., 13, 1519–1530, https://doi.org/10.5194/hess-13-1519-2009, 2009.
Bredesen, R. E., Cattin, R., Clausen, N., Davis, N., Jordaens, P.,
Khadiri-Yazami, Z., Klintström, R., Krenn, A., Lehtomäki, V.,
Ronsten, G., Wadham-Gagnon, M., and Wickman, H.: Wind Energy Projects in Cold
Climates, IEA Wind TCP Recommended Practice 13, 2nd edn., Wind Energy in Cold
Climates, International Energy Agency, available at: https://euagenda.eu/upload/publications/untitled-102011-ea.pdf (last access: 20 December 2021), 2017.
Broman, B., Hammarklint, T., Rannat, K., Soomere, T., and Valdmann, A.: Trends and extremes of wave fields in the north-eastern part of the Baltic Proper, Oceanologia, 48, 165–184, 2006.
Brown, S., Nicholls, R. J., Goodwin, P., Haigh, I. D., Lincke, D., Vafeidis, A. T., and Hinkel, J.: Quantifying land and people exposed to sea-level rise with no mitigation and 1.5 ∘C and 2.0 ∘C rise in global temperatures to year 2300, Earths Future, 6, 583–600, 2018.
Brulebois, E., Castel, T., Richard, Y., Chateau-Smith, C., and
Amiotte-Suchet, P.: Hydrological response to an abrupt shift in surface air
temperature over France in 1987/88, J. Hydrol., 531, 892–901, https://doi.org/10.1016/j.jhydrol.2015.10.026, 2015.
Brunner, L., Hegerl, G. C., and Steiner, A. K.: Connecting atmospheric
blocking to European temperature extremes in spring, J. Climate, 30, 585–594,
https://doi.org/10.1175/JCLI-D-16-0518.1, 2017.
Budikova, D.: Role of Arctic sea ice in global atmospheric circulation: a review, Global Planet. Change, 68, 149–163, 2009.
Cahynová, M. and Huth, R.: Atmospheric circulation influence on climatic trends in Europe: an analysis of circulation type classifications from the COST733 catalogue, Int. J. Climatol., 36, 2743–2760, https://doi.org/10.1002/joc.4003, 2014.
Cammalleri, C., Naumann, G., Mentaschi, L., Bisselink, B., Gelati, E., De Roo, A., and Feyen, L.: Diverging hydrological drought traits over Europe with global warming, Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, 2020.
Cassou, C.: Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation, Nature, 455, 523–527, 2008.
Cattiaux, J. and Cassou, C.: Opposite CMIP3/CMIP5 trends in the
wintertime northern annular mode explained by combined local sea ice and
remote tropical influences, Geophys. Res. Lett., 40, 3682–3687, https://doi.org/10.1002/grl.50643, 2013.
Cattiaux, J., Vautard, R., Cassou, C., Yiou, P., Masson-Delmotte, V., and Codron, F.: Winter 2010 in Europe: a cold extreme in a warming climate, Geophys. Res. Lett., 37, L20704, https://doi.org/10.1029/2010GL044613, 2010.
Cavaleri, L., Benetazzo, A., Barbariol, F., Bidlot, J., and Janssen, P.: The
Draupner event: the large wave and the emerging view, B. Am. Meteorol. Soc., 98, 729–735, https://doi.org/10.1175/BAMS-D-15-00300.1, 2017.
Cecchinato, M.: Boosting offshore wind energy in the Baltic Sea, in:
WindEurope Taskforce Baltic, edited by: Puneda, I. and Fraile, D., WindEurope
Taskforce Baltic, available at: https://windeurope.org/wp-content/uploads/files/about-wind/reports/WindEurope-Boosting-offshore-wind.pdf (last access: 20 December 2021), 2019.
Chang, E. K. M. and Yau, A. M. W.: Northern hemisphere winter storm track trends since 1959 derived from multiple reanalysis datasets, Clim. Dynam., 47, 1435–1454, https://doi.org/10.1007/s00382-015-2911-8, 2016.
Chang, E. K. M., Ma, C. G., Zheng, C., and Yau, A. M. W.: Observed and projected decrease in northern hemisphere extratropical cyclone activity in summer and its impacts on maximum temperature, Geophys. Res. Lett., 43, 2200–2208, https://doi.org/10.1002/2016GL068172, 2016.
Christensen, O. B. and Kjellström, E.: Projections for Temperature,
Precipitation, Wind, and Snow in the Baltic Sea Region until 2100, in: Oxford
Research Encyclopedia of Climate Science, Oxford University Press, 645
https://doi.org/10.1093/acrefore/9780190228620.013.695, 2018.
Christensen, O. B., Kjellström, E., Dieterich, C., Gröger, M., and Meier, H. E. M.: Atmospheric regional climate projections for the Baltic Sea Region until 2100, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-51, in review, 2021.
Christiansen, B., Alvarez-Castro, C., Christidis, N., Ciavarella, A., Colfescu, I., Cowan, T., Eden, J., Hauser, M., Hempelmann, N., Klehmet, K., Lott, F., Nangini, C., van Oldenborgh, G. J., Orth, R., Stott, P., Tett, S., Vautard, R., Wilcox, L., and Yiou, P.: Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study, J. Climate, 31, 3387–3410, https://doi.org/10.1175/JCLI-D-17-0589.1, 2018.
Ciasto, L. M., Li, C., Wettstein, J. J., and Kvamstø, N. G.: North Atlantic storm-track sensitivity to projected sea surface temperature: local versus remote influences, J. Climate, 29, 6973–6991, https://doi.org/10.1175/JCLI-D-15-0860.1, 2016.
Clausen, N.-E., Larsén, X. G., Pryor, S. C., and Drews, M.: Wind power, in: Climate Change and Energy System – Impacts, Risks and Adaptation in the Nordic and Baltic Countries, ISBN: 978-92-893-2190-7, Nordic Council of Ministers, Copenhagen, 2012.
Cloern, J. E., Abreu, P. C., Carstensen, J., Chauvaud, L., Elmgren,
R., Grall, Greening, H., Johansson, J. O. R., Karhu, M., Sherwood, E. T., Xu, J., and Yin, K.: Human activities and climate variability drive fast-paced change across the world's estuarine-coastal ecosystems, Glob. Change Biol., 22, 513–529, https://doi.org/10.1111/gcb.13059, 2016.
Coles, S.: An Introduction to Statistical Modeling of Extreme Values, Springer, Heidelberg, Germany, 208 pp., 2001.
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J.,
Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P.,
Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N.,
Groisman, P. Y., Jones, P. D., Kruk, M., Kruger, A. C., Marshall, G. J.,
Maugeri, M., Mok, H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M.,
Wang, X. L., Woodruff, S. D, and Worley, S. J.: The twentieth century reanalysis project, Q. J. Roy. Meteor. Soc., 137, 1–28, 2011.
Cordeira, J. M. and Laird, N. F.: The influence of ice cover on two lake-effect snow events over Lake Erie, Mon. Weather Rev., 136, 2747–2763, https://doi.org/10.1175/2007MWR2310.1, 2008.
Cornes, R. C., van der Schrier, G., van den Besselaar, E. J. M., and Jones, P. D.: An ensemble version of the E-OBS temperature and precipitation data sets, J. Geophys. Res.-Atmos., 123, 9391–9409, https://doi.org/10.1029/2017JD028200, 2018.
Coumou, D., Lehmann, J., and Beckmann, J.: The weakening summer circulation in the northern hemisphere mid-latitudes, Science, 348, 324–327, https://doi.org/10.1126/science.1261768, 2015.
Cutululis, N. A., Litong-Palima, M., Sørensen, P. E., and Detlefsen, N.:
Offshore variability in critical weather conditions in large-scale wind based
Danish power system, in: 2013 IEEE Power and Energy Society General Meeting:
Shaping the Future Energy Industry IEEE, 2013 IEEE Power and Energy Society General Meeting – Vancouver, Canada,
21–25 July 2013,
2013.
Dahlgren, P., Landelius, T., Kållberg, P., and Gollvik, S.: A high-resolution regional reanalysis for Europe. Part 1: Three-dimensional reanalysis with the regional HIgh-Resolution Limited-Area Model (HIRLAM), Q. J. Roy. Meteor. Soc., 142, 2119–2131, 2016.
Danco, J. F., DeAngelis, A. M., Raney, B. K., and Broccoli, A. J.: Effects of a warming climate on daily snowfall events in the northern hemisphere, J. Climate, 29, 6295–6318, https://doi.org/10.1175/JCLI-D-15-0687.1, 2016.
Dangendorf, S., Arns, A., Pinto, J. G., Ludwig, P., and Jensen, J.: The exceptional influence of storm “Xaver” on design water levels in the German Bight, Environ. Res. Lett., 11, 054001, https://doi.org/10.1088/1748-9326/11/5/054001, 2016.
Danilovich, I., Wrzesiński, D., and Nekrasova, L.: Impact of the North Atlantic Oscillation on river runoff in the Belarus part of the Baltic Sea basin, Hydrol. Res., 38, 413–423, 2007.
Danilovich, I., Zhuravlev, S., Kurochkina, L., and Groisman, P.: The past and future estimates of climate and streamflow changes in the Western Dvina River basin, Front. Earth Sci., 7, 204, https://doi.org/10.3389/feart.2019.00204, 2019.
Davini, P. and Cagnazzo, C.: On the misinterpretation of the North Atlantic Oscillation in CMIP5 models, Clim. Dynam., 43, 1497–1511, https://doi.org/10.1007/s00382-013-1970-y, 2014.
Davini, P. and d'Andrea, F.: Northern hemisphere atmospheric blocking representation in global climate models: twenty years of improvements? J. Climate, 29, 8823–8840, https://doi.org/10.1175/JCLI-D-16-0242.1, 2016.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L.,
Healy, S. B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P.,
Kohler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thepaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Déqué, M., Rowell, D. P., Lüthi, D., Giorgi, F., Christensen, J. H., Rockel, B., Jacob, D., Kjellström, E., de Castro, M., and van den Hurk, B.: An
intercomparison of regional climate simulations for Europe: assessing
uncertainties in model projections, Climatic Change, 81, 53–70,
https://doi.org/10.1007/s10584-006-9228-x, 2007.
Deser, C., Hurrell, J. W., and Phillips, A. S.: The role of the North Atlantic Oscillation in European climate projections, Clim. Dynam., 49, 3141–3157, https://doi.org/10.1007/s00382-016-3502-z, 2017.
Dethloff, K., Rinke, A., Benkel, A., Køltzow, M., Sokolova, E., Kumar Saha, S., Handorf, D., Dorn, W., Rockel, B., von Storch, H., Haugen, J. E., Røed, L. P., Roeckner, E., Christensen, J. H., and Stendel, M.: A dynamical link between the Arctic and the global climate system, Geophys. Res. Lett., 33, L03703, https://doi.org/10.1029/2005GL025245, 2006.
Diamond, K. E.: Extreme weather impacts on offshore wind turbines: lessons learned, American Bar Association Section of Environment, Natural Resources and Environment, 27, 39–41, 2012.
Ditas, J., Ma, N., Zhang, Y., Assmann, D., Neumaier, M., Riede, H., Karu, E., Williams, J., Scharffe, D., Wang, Q., Saturno, J., Schwarz, J. P., Katich, J. M., McMeeking, G. R., Zahn, A., Hermann, M., Brenninkmeijer, C. A. M., Andreae, M. O., Pöschl, U., Su, H., and Cheng, Y.: Strong impacts of wildfires on the abundance and aging of black carbon in the lowermost stratosphere, P. Natl. Acad. Sci. USA, 115, E11595–E11603, 2018.
Donat, M. G., Alexander, L. V., Herold, N., and Dittus, A. J.: Temperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations, J. Geophys. Res.-Atmos., 121, 11174–11189, https://doi.org/10.1002/2016JD025480, 2016.
Dong, B., Sutton, R. T., and Shaffrey, L.: Understanding the rapid summer warming and changes in temperature extremes since the mid-1990s over Western Europe, Clim. Dynam., 48, 1537–1554, https://doi.org/10.1007/s00382-016-3158-8, 2017.
Donnelly, C., Greuell, W., Andersson, J., Gerten, D., Pisacane, G., Roudier, P., and Ludwig, F.: Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level, Climatic Change, 143, 13–26, 2017.
Dosio, A.: Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models, J. Geophys. Res.-Atmos., 121, 5488–5511, https://doi.org/10.1002/2015JD024411, 2016.
Douville, H. and Plazzotta, M.: Midlatitude summer drying: an underestimated threat in CMIP5 models? Geophys. Res. Lett., 44, 9967–9975, https://doi.org/10.1002/2017GL075353, 2017.
Douville, H., Colin, J., Krug. E., Cattiaux. J., and Thao, S.: Midlatitude daily summer temperatures reshaped by soil moisture under climate change, Geophys. Res. Lett., 43, 812–818, https://doi.org/10.1002/2015GL066222, 2016.
Dreier, N., Schlamkow, C., Fröhle, P., Salecker, D., and Xu, Z.:
Assessment of changes of extreme wave conditions at the German Baltic Sea
coast in the basis of future climate change scenarios, J. Mar. Sci. Technol., 23, 839–845, https://doi.org/10.6119/JMST-015-0609-3, 2015.
Drobyshev, I., Granström, A., Linderholm, H. W., Hellberg, E., Bergeron, Y., and Niklasson, M.: Multi-century reconstruction of fire activity in Northern European boreal forest suggests differences in regional fire regimes and their sensitivity to climate, J. Ecol., 102, 738–748, 2014.
Drobyshev, I., Bergeron, Y., de Vernal, A., Moberg, A.,
Ali, A. A., and Niklasson, M.: Atlantic SSTs control regime shifts in forest
fire activity of northern Scandinavia, Sci. Rep.-UK, 6, 22532, https://doi.org/10.1038/srep22532, 2016.
Dury, M., Hambuckers, A., Warnant, P., Henrot, A., Favre, E., Ouberdous, M., and François, L.: Responses of European forest ecosystems to 21st century climate: assessing changes in interannual variability and fire intensity, iForest, 4, 82–99, 2011.
Easterling, D. R., Kunkel, K. E., Wehner, M. F., and Sun, L.: Detection and attribution of climate extremes in the observed record, Weather and Climate Extremes, 11, 17–27, https://doi.org/10.1016/j.wace.2016.01.001, 2016.
EEA: Mapping the impacts of natural hazards and technological accidents in europe – An overview of the last decade, 144 pp., available at: http://www.eea.europa.eu/publications/mapping-the-impacts-of-natural
(last access: 17 December 2021), 2010.
Esseen, P. A., Ehnström, B., Ericson, L., and Sjöberg, K.: Boreal forests, Ecol. Bull., 46, 16–47, 1997.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
EUMETSAT: Record waves in the Baltic Sea, available at:
https://www.eumetsat.int/record-waves-baltic-sea (last access: 19 December 2021), 2017.
Feldstein, S. B.: The recent trend and variance increase of the annular mode, J. Climate, 15, 88–94, 2002.
Feser, F., Barcikowska, M., Krueger, O., Schenk, F., Weisse, R., and Xia, L.: Storminess over the North Atlantic and northwestern Europe: a review, Q. J. Roy. Meteor. Soc., 141, 350–382, 2015a.
Feser, F., Barcikowska, M., Haeseler, S., Lefebvre, C., Schubert-Frisius, M., Stendel, M., von Storch, H., and Zahn, M.: Hurricane Gonzalo and its extratropical transition to a strong European storm, in: Explaining Extreme Events of 2014 from a Climate Perspective, B. Am. Meteorol. Soc., 96, S51–S55, 2015b.
Feser, F., Krueger, O., Woth, K., and van Garderen, L.: North Atlantic winter
storm activity in modern reanalyses and pressure-based
observations, J. Climate, 34, 2411–2428, https://doi.org/10.1175/JCLI-D-20-0529.1,
2021.
Finni, T., Kononen, K., Olsonen, R., and Wallström, K.: The history of cyanobacterial blooms in the Baltic Sea, Ambio, 30, 172–178, 2001.
Fischer, E. M. and Knutti, R.: Observed heavy precipitation increase confirms theory and early models, Nat. Clim. Change, 6, 986–991, https://doi.org/10.1038/nclimate3110, 2016.
Fischer, E. M., Luterbacher, J., Zorita, E., Tett, S. F. B., Casty, C., and Wanner, H.: European climate response to tropical volcanic eruptions over the last half millennium, Geophys. Res. Lett., 34, L05707, https://doi.org/10.1029/2006GL027992, 2007.
Flannigan, M., Stocks, B., Turetsky, M., and Wotton, M.: Impacts of climate change on fire activity and fire management in the circumboreal forest, Glob. Change Biol, 15, 549–560, 2009.
Forzieri, G., Feyen, L., Rojas, R., Flörke, M., Wimmer, F., and Bianchi, A.: Ensemble projections of future streamflow droughts in Europe, Hydrol. Earth Syst. Sci., 18, 85–108, https://doi.org/10.5194/hess-18-85-2014, 2014.
Forzieri, G., Feyen, L., Russo, S., Vousdoukas, M., Alfieri ,L., Outten, S., Migliavacca, M., Bianchi, A., Rojas, R., and Cid, A.: Multi-hazard assessment in Europe under climate change, Climatic Change, 137, 105–119, 2016.
Francis, J. A. and Vavrus, S. J.: Evidence linking Arctic amplification to extreme weather, Geophys. Res. Lett., 39, 1–6, https://doi.org/10.1029/2012GL051000, 2012.
Francis, J. A. and Vavrus, S. J.: Evidence for a wavier jet stream in response to rapid Arctic warming, Environ. Res. Lett., 10, 14005, https://doi.org/10.1088/1748-9326/10/1/014005, 2015.
Frank, H. P.: Extreme winds over Denmark from the NCEP/NCAR Reanalysis, Technical
Report Riso-R-1238 (EN), Riso National laboratory, Roskilde, 28 pp., 2001.
Fredriksson, C., Tajvidi, N., Hanson, H., and Larson, M.: Statistical analysis of extreme sea water levels at the Falsterbo Peninsula, South Sweden, Vatten, 72, 129–142, 2016.
Freeman, K., Frost, C., Hundleby, G., Roberts, A., Valpy, B., Holttinen, H.,
Ramírez, L., and Pineda, I.: Our Energy, Our Future: How Offshore Wind
Will Help Europe Go Carbon-Neutral, edited by: Walsh, C., WindEurope, Brussels, Belgium, 2019.
Frölicher, T. L., Fischer, E. M., and Gruber, N.: Marine heatwaves under global warming, Nature, 560, 360–364, https://doi.org/10.1038/s41586-018-0383-9, 2018.
Frolova, N. L., Belyakova, P. A., Grigoriev, V. Yu., Sazonov, A. A., Zotov, L. V., and Jarsjö, J.: Runoff fluctuations in the Selenga River basin, Reg. Environ. Change, 17, 1965–1976, https://doi.org/10.1007/s10113-017-1199-0, 2017.
Gailiušis, B., Kriaučiūnienė, J., Jakimavičius, D., and Šarauskienė, D.: The variability of long-term runoff series in the Baltic Sea drainage basin, Baltica, 24, 45–54, 2011.
Gastineau, G. and Frankignoul, C.: Influence of the North Atlantic SST variability on the atmospheric circulation during the twentieth century, J. Climate, 28, 1396–1416, https://doi.org/10.1175/JCLI-D-14-00424.1, 2015.
Gayer, G., Gunther, H., and Winkel, N.: Wave climatology and extreme value analysis for the Baltic Sea area off the Warnemunde harbour entrance, Deutsche Hydrographische Zeitschrift, 47, 109–130, 1995.
Gillett, N. P., Arora, V. K., Matthews, D., and Allen, M. R.: Constraining the ratio of global warming to cumulative CO2 emissions using CMIP5 simulations, J. Climate, 26, 6844–6858, https://doi.org/10.1175/JCLI-D-12-00476.1, 2013.
Gobler, C. J., Doherty, O. M., Hattenrath-Lehmann, T. K., Griffith, A. W., Kang, Y., and Litaker, R. W.: Ocean warming since 1982 has expanded the niche of toxic algal blooms in the North Atlantic and North Pacific oceans, P. Natl. Acad. Sci. USA, 114, 4975–4980, https://doi.org/10.1073/pnas.1619575114, 2017.
Goerlandt, F., Montewka, J., Zhang, W., and Kujala, P.: An analysis of ship
escort and convoy operations in ice conditions, Safety Science, 75, 198–209, 2017.
Gong, H., Wang, L., Chen, W., Chen, X., and Nath, D.: Biases of the wintertime Arctic Oscillation in CMIP5 models, Environ. Res. Lett., 12, 14001, https://doi.org/10.1088/1748-9326/12/1/014001, 2017.
Gröger, M., Dieterich, C., Haapala, J., Ho-Hagemann, H. T. M., Hagemann, S., Jakacki, J., May, W., Meier, H. E. M., Miller, P. A., Rutgersson, A., and Wu, L.: Coupled regional Earth system modeling in the Baltic Sea region, Earth Syst. Dynam., 12, 939–973, https://doi.org/10.5194/esd-12-939-2021, 2021.
Granström, A.: Spatial and temporal variation in lightning ignitions in Sweden, J. Veg. Sci., 4, 737–744, 1993.
Gregow, H., Rantanen, M., Laurila, T. K., and Mäkelä, A: Review on
winds, extratropical cyclones and their impacts in Northern Europe and
Finland, Reports 2020:3, Finnish Meteorological Institute, https://doi.org/10.35614/isbn.9789523361188, 2020.
Grinsted, A., Jevrejeva, S., Riva, R. E. M., and Dahl-Jensen, D.: Sea level rise
projections for northern Europe under RCP8.5, Clim. Res., 64, 15–23, 2015.
Grise, K. M. and Polvani, L. M.: The response of midlatitude jets to increased CO2: distinguishing the roles of sea surface temperature and direct radiative forcing, Geophys. Res. Lett., 41, 6863–6871, https://doi.org/10.1002/2014GL061638, 2014.
Groenemeijer, P., Vajda, A., Lehtonen, I., Kämäräinen, M.,
Venäläinen, R., Gregow, H., and Púcik, T.: Present and future
probability of meteorological and hydrological hazards in Europe, D2.5 Report,
RAIN Project, available at; http://rain-project.eu/wp-content/uploads/2016/09/D2.5_REPORT_final.pdf (last access: 8 December 2021), 2016.
Groetsch, P. M. M., Simis, S. G. H., Eleveld, M. A., and Peters, S. W. M.: Spring blooms in the Baltic Sea have weakened but lengthened from 2000 to 2014, Biogeosciences, 13, 4959–4973, https://doi.org/10.5194/bg-13-4959-2016, 2016.
Groll, N., Grabemann, I., Hünicke, B., and Meese, M.: Baltic Sea wave conditions under climate change scenarios, Boreal Environ. Res., 22, 1–12, 2017.
Gudmundsson, L., Seneviratne, S. I., and Zhang, X.: Anthropogenic climate change detected in European renewable freshwater resources, Nat. Clim. Change, 7, 813–816, https://doi.org/10.1038/nclimate3416, 2017.
Gustafsson, N., Nyberg, L., and Omstedt, A.: Coupling of a high-resolution atmospheric model and an ocean model for the Baltic Sea, Mon. Weather Rev., 126, 2822–2846, https://doi.org/10.1175/1520-0493(1998)126<2822:COAHRA>2.0.CO;2, 1998.
Haarsma, R. J., Selten, F. M., and Drijfhout, S. S.: Decelerating Atlantic meridional overturning circulation main cause of future west European summer atmospheric circulation changes, Environ. Res. Lett., 10, 094007, https://doi.org/10.1088/1748-9326/10/9/094007, 2015.
Hakanen, P., Suikkanen, S., Franzén, J., Franzén, H., Kankaanpää, H., and Kremp, A.: Bloom and toxin dynamics of Alexandrium ostenfeldii in a shallow embayment at the SW coast of Finland, northern Baltic Sea, Harmful Algae, 15, 91–99, 2012.
Hänninen, S.: Talvimerenkulun onnettomuudet 2011–2018, Trafin
tutkimuksia, No. 12, Helsinki, available at: https://arkisto.trafi.fi/filebank/a/1545233991/7a154fa85f1f4078a1b0ca2fb06906aa/33305-Trafi_12_2018_Talvimerenkulun_onnettomuudet_2011-2018.pdf (last access: 18 December 2021), 2018.
Hansom, J. D., Switzer, A. D., and Pile, J.:
Extreme Waves: Causes, Characteristics, and Impact on Coastal Environments and Society, chap. 11,
edited by: Shroder, J. F., Ellis, J. T., and Sherman, D. J.,
in: Hazards and Disasters Series,
Coastal and Marine Hazards, Risks, and Disasters,
Elsevier, 307–334,
ISBN 9780123964830,
https://doi.org/10.1016/B978-0-12-396483-0.00011-X, 2015.
Hansson, D., Eriksson, C., Omstedt, A., and Chen, D.: Reconstruction of river runoff to the Baltic Sea, AD 1500–1995, Int. J. Climatol., 31, 696–703, 2011.
Hausfather, Z. and Peters, G. P.: Emissions: the “business as usual” story is misleading, Nature, 577, 618–620, https://doi.org/10.1038/d41586-020-00177-3, 2020.
Heinonen, J., Rissanen, S., Kurkela, J., Tikanmäki, M., and Jussila, V.:
Ice load portal for preliminary design of offshore wind turbines in the Gulf
of Bothnia: case studies, WindEurope Offshore 2019, 26–28 November 2019, Copenhagen, 2019.
HELCOM: HELCOM Baltic Sea Action Plan, available at:
http://www.helcom.fi/Documents/Baltic sea action plan/BSAP_Final.pdf (last access: 18 December 2021),
2007.
HELCOM: State of the Baltic Sea: Second HELCOM holistic assessment 2011–2016,
in: Baltic Sea Environment Proceedings, 155, 2018.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Sean Healy, Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G, de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hisdal, H., Holmqvist, E., Jónsdóttir, J. F., Jónsson, P.,
Kuusisto, E., Lindström, G., and Roald, L. A.: Has streamflow changed in
the Nordic countries?,
Norwegian Water Resources and Energy Directorate, Oslo, 1,
available at:https://publikasjoner.nve.no/report/2010/report2010_01.pdf (last access: 18 December 2021),
2010.
Hjelmfelt, M. R.: Numerical study of the influence of environmental conditions on lake-effect snowstorms over Lake Michigan, Mon. Weather Rev., 118, 138–150, 1990.
Hoerling, M. P., Hurrell, J. W., and Xu, T.: Tropical origins for recent North Atlantic climate change, Science, 292, 90–92, 2001.
Hofherr, T. and Kunz, M.: Extreme wind climatology of winter storms in
Germany, Clim. Res., 41, 105–123, 2010.
Höglund, A., Pemberton, P., Hordoir, R., and Schimanke, S.: Ice conditions for maritime traffic in the Baltic Sea in future climate, Boreal Environ. Res., 22, 245–265, 2017.
Holthuijsen, L. H.: Waves in Oceanic and Coastal Waters, Cambridge University Press, New York, US, 2007.
Horton, D. E., Johnson, N. C., Singh, D., Swain, D. L., Rajaratnam, B., and Diffenbaugh, N. S.: Contribution of changes in atmospheric circulation patterns to extreme temperature trends, Nature, 522, 465–469, https://doi.org/10.1038/nature14550, 2015.
Humborg, C., Geibel, M. C., Sun, X., McCrackin, M., Mörth, C.-M., Stranne, C., Jakobsson, M., Gustafsson, B., Sokolov, A., Norkko, A., and Norkko, J.: High emissions of carbon dioxide and methane from the coastal Baltic Sea at the end of a summer heat wave, Frontiers in Marine Science, 6, 493, https://doi.org/10.3389/fmars.2019.00493, 2019.
Hurrell, J.: Hurrell North Atlantic Oscillation (NAO) Index (station-based),
available at: https://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-station-based, last access: 7 December 2021.
Hurrell, J. W.: Decadal trends in the North Atlantic Oscillation, regional temperatures and precipitation, Science, 269, 676–679, 1995.
Hurrell, J. W., Kushnir, Y., Ottersen, G., and Visbeck, M.: An overview of the North Atlantic Oscillation, in: The North Atlantic Oscillation: Climatic Significance and Environmental Impact, Geoph. Monog. Series, 134, 1–36, 2003.
Hynčica, M. and Huth, R.: Long-term changes in precipitation phase in Europe in cold half year, Atmos. Res., 227, 79–88, 2019.
Ineson, S., Scaife, A. A., Knight, J. R., Manners, J. C., Dunstone, N. J., Gray, L. J., Haigh, J. D.: Solar forcing of winter climate variability in the northern hemisphere, Nature Geosci., 4, 753–757, 2011.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, J., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups I,
II and III to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Core Writing Team, Pachauri, R. K. and Meyer, L. A., IPCC, Geneva, Switzerland, 151 pp., 2014.
IPCC: Summary for Policymakers, in: Global Warming of 1.5 ∘C, An IPCC Special Report on the impacts of global warming of 1.5 ∘C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T., World Meteorological Organization, Geneva, Switzerland, 32 pp., 2018.
Irannezhad, M., Chen, D., and Kløve, B.: Interannual
variations and trends in surface air temperature in Finland in relation to
atmospheric circulation patterns, 1961–2011, Int. J. Climatol., 35,
3078–3092, https://doi.org/10.1002/joc.4193, 2015.
Irannezhad, M., Moradkhani, H., and Kløve, B.: Corrigendum to
“Spatio-temporal Variability and Trends in Extreme Temperature Events in
Finland over the Recent Decades: Influence of Northern Hemisphere
Teleconnection Patterns”, Adv. Meteorol., 2019, 4857504,
https://doi.org/10.1155/2019/4857504, 2019.
Jaagus, J., Briede, A., Rimkus, E., and Remm, K.: Variability and trends in daily minimum and maximum temperatures and in the diurnal temperature range in Lithuania, Latvia and Estonia in 1951–2010, Theor. Appl. Climatol., 118, 57–68, https://doi.org/10.1007/s00704-013-1041-7, 2014.
Jaagus, J., Sepp, M., Tamm, T., Järvet, A., and Mõisja, K.: Trends and regime shifts in climatic conditions and river runoff in Estonia during 1951–2015, Earth Syst. Dynam., 8, 963–976, https://doi.org/10.5194/esd-8-963-2017, 2017.
Jaagus, J., Briede, A., Rimkus, E., and Sepp, M.: Changes in precipitation regime in the Baltic countries in 1966–2015, Theor. Appl. Climatol., 131, 433–443, https://doi.org/10.1007/s00704-016-1990-8, 2018.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preucshmann, S., Radermacher, C., Radkte, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new high-resolution climate change projections for European impact research, Reg. Environ. Change, 14, 563–578, https://doi.org/10.1007/s10113-013-0499-2, 2014.
Jalkanen, J.-P., Brink, A., Kalli, J., Pettersson, H., Kukkonen, J., and Stipa, T.: A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area, Atmos. Chem. Phys., 9, 9209–9223, https://doi.org/10.5194/acp-9-9209-2009, 2009.
Janssen, P. A. E. M. and Janssen, A. J. E. M.: Asymptotics for the long-time evolution of kurtosis of narrow-band ocean waves, J. Fluid Mech., 859, 790–818, https://doi.org/10.1017/jfm.2018.844, 2019.
Jensen, J. and Müller-Navarra, S.: Storm surges on the German coast, Die Küste, 74, 92–124, 2008.
Jeppesen, E., Kronvang, B., Meerhoff, M., Søndergaard, M., Hansen, K. M.,
Andersen, H. E., Lauridsen, T. L., Beklioglu, M., Özen, A., and Olesen, J. E.: Climate change effects on runoff, catchment phosphorus loading and lake ecological state, and potential adaptations, J. Envir. Qual., 38, 1930–1941, 2009.
Jeworrek, J., Wu, L., Dieterich, C., and Rutgersson, A.: Characteristics of convective snow bands along the Swedish east coast, Earth Syst. Dynam., 8, 163–175, https://doi.org/10.5194/esd-8-163-2017, 2017.
Johansson, B. and Chen, D.: Estimation of areal precipitation for runoff modelling using wind data: a case study in Sweden, Clim. Res., 29, 53–61, 2005.
Jönsson, A., Broman, B., and Rahm, L.: Variations in the Baltic Sea wave fields, Ocean Eng., 30, 107–126, https://doi.org/10.1016/S0029-8018(01)00103-2, 2003.
Joshi, M. M., Charlton, A. J., and Scaife, A. A.: On the influence of stratospheric water vapor changes on the tropospheric circulation, Geophys. Res. Lett., 33, L09806, https://doi.org/10.1029/2006GL025983, 2006.
Juga, I., Hippi, M., Nurmi, P., and Karsisto, V.: Weather factors triggering
the massive car crashes on 3 February 2012 in the Helsinki metropolitan area,
in: Proceedings of SIRWEC 17th International Road Weather Conference, Andorra,
30 January–1 February 2014, available at: http://sirwec.org/wp-content/uploads/Papers/2014-Andorra/D-21.pdf (last access: 3 December 2021), 2014.
Kahma, K. K., Pettersson, H., and Tuomi, L.: Scatter diagram wave statistics from the northern Baltic Sea, MERI – Rep. Ser. Fin. Inst. Mar. Res., 49, 15–32, 2003.
Kahru, M., Elmgren, R., and Savchuk, O. P.: Changing seasonality of the Baltic Sea, Biogeosciences, 13, 1009–1018, https://doi.org/10.5194/bg-13-1009-2016, 2016.
Kalnay, E., Kanamitsu, M, Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A.,
Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J.,
Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-year reanalysis project, B. Am. Meteorol. Soc., 77, 437–471, 1996.
Kamesaki, K., Kishi, S., and Yamauchi, Y.: Simulation of NSR shipping based on
year-round and seasonal operation scenarios, INSROP Working Paper 164-1999,
INSROP, Oslo, 1999.
Karlberg, M. and Wulff, A.: Impact of temperature and species interaction on filamentous cyanobacteria may be more important than salinity and increased pCO2 levels, Mar. Biol., 160, 2063–2072, 2013.
Kaspar, F., Niermann, D., Borsche, M., Fiedler, S., Keller, J., Potthast, R., Rösch, T., Spangehl, T., and Tinz, B.: Regional atmospheric reanalysis activities at Deutscher Wetterdienst: review of evaluation results and application examples with a focus on renewable energy, Adv. Sci. Res., 17, 115–128, 2020.
Kasvi, E., Lotsar, E., Kumpumäki., Dubrovin, T., and Veijalainen, N.: Effects of climate change and flow regulation on the flow characteristics of a low-relief river within southern boreal climate area, Water, 11, 1827, https://doi.org/10.3390/w11091827, 2019.
Kļaviņš, M. and Rodinov, V.: Long-term changes of river discharge regime in Latvia, Nord Hydrol., 39, 133–141, 2008.
Kļaviņš, M., Rodinov, V., Timukhin, A., and Kokorīte, I.: Patterns of river discharge: long-term changes in Latvia and the Baltic region, Baltica, 21, 41–49, 2008.
Kellomäki, S., Peltola, H., Nuutinen, T., Korhonen, K. T., and Strandman, H.: Sensitivity of managed boreal forests in Finland to climate change, with implications for adaptive management, Philos. T. R. Soc. B, 363, 2341–2351, 2008.
Kendon, E. J., Roberts, N. M., Senior, C. A., and Roberts, M. J.: Realism of rainfall in a very high resolution regional climate model, J. Climate, 25, 5791–5806, 2012.
Keskinen, A.: Lumilogistiikan tehostaminen kaupungeissa (Enhanced snow removal
logistics in suburban areas), Master thesis of Science in Technology, Aalto
University, Espoo, Finland, available at:
http://urn.fi/URN:NBN:fi:aalto-201211243401 (last access: 3 December 2021), 2012 (in Finnish with English abstract).
Kettle, A. J.: The North Sea surge of 31 October–1 November 2006 during Storm Britta, Adv. Geosci., 45, 273–279, https://doi.org/10.5194/adgeo-45-273-2018, 2018.
Kettle, A. J.: Storm Tilo over Europe in November 2007: storm surge and impacts on societal and energy infrastructure, Adv. Geosci., 49, 187–196, https://doi.org/10.5194/adgeo-49-187-2019, 2019.
Kilpeläinen, A., Kellomäki, S., Strandman, H., and Venäläinen, A.: Climate change impacts on forest fire potential in boreal conditions in Finland, Climatic Change, 103, 383–398, 2010.
Kim, B. M., Son, S. W., Min, S. K., Jeong, J. H., Kim, S. J., Zhang, X., Taehyoun, S., and Yoon, J.-H.: Weakening of the stratospheric polar vortex by Arctic sea-ice loss, Nat. Commun., 5, 1–8, https://doi.org/10.1038/ncomms5646, 2014.
Kim, S., Sinclair, V. A., Räisänen, J., and Ruuhela, R.: Heat waves in Finland: present and projected summertime extreme temperatures and their associated circulation patterns, Int. J. Climatol., 38, 1393–1408, https://doi.org/10.1002/joc.5253, 2018.
Kistler, R., Collins, W., Saha, S., White, G., Woollen, J., Kalnay, E.,
Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V., van den Dool, H.,
Jenne, R., and Fiorino, M.: The NCEP-NCAR 50-year reanalysis: monthly means CD-ROM and documentation, B. Am. Meteorol. Soc., 82, 247–267, 2001.
Kjellström, E., Thejll, P., Rummukainen, M., Christensen, J. H., Boberg, F., Christensen, O. B., and Fox Maule, C.: Emerging regional climate change signals for Europe under varying large-scale circulation conditions, Clim. Res., 56, 103–119, https://doi.org/10.3354/cr01146, 2013.
Klais, R., Tamminen, T., Kremp, A., Spilling, K., and Olli, K.: Decadal-scale changes of dinoflagellates and diatoms in the anomalous Baltic Sea spring bloom, PLoS ONE, 6, e21567, https://doi.org/10.1371/journal.pone.0021567, 2011.
Kollanus, V., Tiittanen, P., and Lanki, T.: Mortality risk related to heatwaves in Finland – Factors affecting vulnerability, Environ Res., 201, 111503, https://doi.org/10.1016/j.envres.2021.111503, 2021.
Konovalov, I. B., Beekmann, M., Kuznetsova, I. N., Yurova, A., and Zvyagintsev, A. M.: Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region, Atmos. Chem. Phys., 11, 10031–10056, https://doi.org/10.5194/acp-11-10031-2011, 2011.
Kownacka, J., Busch, S., Göbel, J., Gromisz, S., Hällfors, H.,
Höglander, H., Huseby, S., Jaanus, A., Jakobsen, H. H., Johansen, M.,
Johansson, M., Jurgensone, I., Liebeke, N., Kraśniewski, W., Kremp, A.,
Lehtinen, S., Olenina, I., v.Weber, M., and Wasmund, N.: Cyanobacteria
biomass, 1990–2019, HELCOM Baltic Sea Environment Fact Sheet, available at; https://helcom.fi/wp-content/uploads/2020/09/BSEFS-Cyanobacteria-biomass-1990-2019-1.pdf (last access: 18 December 2021), 2020.
Kriaučiūnienė, J., Meilutyte-Barauskiene, D., Rimkus, E.,
Kazys, J., and Vincevicius, A.: Climate change impact on hydrological processes in Lithuanian Nemunas river basin, Baltica, 21, 51–61, 2008.
Krikken, F., Lehner, F., Haustein, K., Drobyshev, I., and van Oldenborgh, G. J.: Attribution of the role of climate change in the forest fires in Sweden 2018, Nat. Hazards Earth Syst. Sci., 21, 2169–2179, https://doi.org/10.5194/nhess-21-2169-2021, 2021.
Kristensen L., Rathmann O., and Hansen, S. O.: Extreme winds in Denmark, J. Wind Eng. Ind. Aerod., 87, 147–166, 2000.
Kucharski, F., Molteni, F., and Bracco, A.: Decadal interactions between the western tropical Pacific and the North Atlantic Oscillation, Clim. Dynam., 26, 79–91, 2006.
Kudryavtseva, N. and Soomere, T.: Satellite altimetry reveals spatial patterns of variations in the Baltic Sea wave climate, Earth Syst. Dynam., 8, 697–706, https://doi.org/10.5194/esd-8-697-2017, 2017.
Kudryavtseva, N., Räämet, A., and Soomere, T.: Coastal flooding: joint
probability of extreme water levels and waves along the Baltic Sea coast, in:
Global Coastal Issues of 2020, edited by: Malvárez, G. and Navas, F., J. Coast. Res., Special Issue No. 95, 1146–1151, 2020.
Kujala, P.: Damage Statistics of Ice-strengthened Ships in the Baltic Sea 1984–1987, Espoo, Finland: Winter Navigation Research Board, Research Report No. 47., 62 pp., 1991.
Kujala, P.: Ice Loading on Ship Hull. In Encyclopedia of Maritime and Offshore Engineering, Wiley Online Library, edited by: Carlton, J., Jukes, P., and Choo, Y. S., https://doi.org/10.1002/9781118476406.emoe012, 2017.
Kunz, M., Mohr, S., Rauthe, M., Lux, R., and Kottmeier, Ch.: Assessment of extreme wind speeds from Regional Climate Models – Part 1: Estimation of return values and their evaluation, Nat. Hazards Earth Syst. Sci., 10, 907–922, https://doi.org/10.5194/nhess-10-907-2010, 2010.
Kuuliala, L., Kujala, P., Suominen, M. and Montewka, J.: Estimating operability of ships in ridged ice fields, Cold Reg. Sci. Technol., 135, 51–61, 2017.
Laapas, M. and Venäläinen, A.: Homogenization and trend analysis of monthly mean and maximum wind speed time series in Finland, 1959–2015, Int. J. Climatol., 37, 4803–4813, https://doi.org/10.1002/joc.5124, 2017.
Laird, N. F., Kristovich, D. A. R., and Walsh, J. E.: Idealized model simulations examining the mesoscale structure of winter lake-effect circulations, Mon. Weather Rev., 131, 206–221, https://doi.org/10.1175/1520-0493(2003)131<0206:IMSETM>2.0.CO;2, 2003.
Laird, N., Sobash, R., and Hodas, N.: The frequency and characteristics of lake-effect precipitation events associated with the New York State Finger Lakes, J. Appl. Meteorol. Clim., 48, 873–886, https://doi.org/10.1175/2008JAMC2054.1, 2009.
Larjavaara, M., Kuuluvainen, T., and Rita, H.: Spatial distribution of lightning-ignited forest fires in Finland, Forest Ecol. Manag., 208, 177–188, 2005a.
Larjavaara, M., Pennanen, J., and Tuomi, T.: Lightning that ignites forest fires in Finland, Agr. Forest Meteorol., 132, 171–180, 2005b.
Larsén, X. and Mann, J.: Extreme winds from the NCEP/NCAR reanalysis data, Wind Energy, https://doi.org/10.1002/we.318, 2009.
Larsén, X. and Badger, J.: Calculation of extreme wind atlases using mesoscale modeling, Final project report DTU Wind Energy, DTU Wind Energy E, No. 0125, ISBN 978-87-93278-87-5, 2012.
Larsén, X., Badger, J., Hahmann, A. N., and Mortensen, N. G.: The
selective dynamical downscaling method for extreme wind atlases, Wind Energy,
16, 1167–1182, https://doi.org/10.1002/we.1544, 2013.
Larsén, X., Larsen, S., and Hahmann, N. A.: Origin of the waves in “A case study of mesoscale spectra of wind and temperature, observed and simulated”: lee waves of the Norwegian mountains, Q. J. Roy. Meteor. Soc., 138, 274–279, https://doi.org/10.1002/qj.916, 2012a.
Larsén, X., Ott, S., Badger, J., Hahmann, A., and Mann, J.: Recipes for correcting the impact of effective mesoscale resolution on the estimation of extreme winds, J. Appl. Meteorol. Clim., 51, 521–533, 2012b.
Larsén, X., Kalogeri, C., Galanis, G., and Kallos, G.: A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications, Renew. Energ., 80, 205–218, https://doi.org/10.1016/j.renene.2015.01.069, 2015.
Larsén, X., Du, J., Bolanos, R., Imberger, M., Kelly, M., Badger, M., and
Larsen, S.: Estimation of offshore extreme wind from wind-wave coupled
modeling, Wind Energy, 22, 1043–1057, https://doi.org/10.1002/we.2339, 2019a.
Larsén, X., Larsen, S., Petersen, E., and Mikkelsen, T.: Turbulence characteristics of wind-speed fluctuations in the presence of open cells: a case study, Bound.-Lay. Meteorol., 171, 191–212, https://doi.org/10.1007/s10546-019-00425-8, 2019b.
Laurila, T. K., Sinclair, V. A., and Gregow, H.: The extratropical transition of Hurricane Debby (1982) and the subsequent development of an intense windstorm over Finland, Mon. Weather Rev., 143, 377–401, https://doi.org/10.1175/MWR-D-19-0035.1, 2020.
Laurila, T. K., Sinclair, V. A., and Gregow, H.: Climatology, variability and trends in near-surface wind speeds over the North Atlantic and Europe during 1979–2018 based on ERA5, Int. J. Climatol., 41, 2253–2278, https://doi.org/10.1002/joc.6957, 2021.
Leckebusch, G. C. and Ulbrich, U.: On the relationship between cyclones and extreme windstorm events over Europe under climate change, Global Planet. Change, 44, 181–193, https://doi.org/10.1016/j.gloplacha.2004.06.011, 2004.
Lehmann, A., Getzlaff, K., and Harlaß, J.: Detailed assessment of climate variability in the Baltic Sea area for the period 1958 to 2009, Clim. Res., 46, 185–196, 2011.
Lehmann, A., Myrberg, K., Post, P., Chubarenko, I., Dailidiene, I., Hinrichsen, H.-H., Hüssy, K., Liblik, T., Lips, U., Meier, H. E. M., and Bukanova, T.: Salinity dynamics of the Baltic Sea, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-15, in review, 2021.
Lehtonen, I., Ruosteenoja, K., and Jylhä, K.: Projected changes in European extreme precipitation indices on the basis of global and regional climate model ensembles, Int. J. Climatol., 34, 1208–1222, 2014a.
Lehtonen, I., Ruosteenoja, K., Venäläinen, A., and Gregow, H.: The projected 21st century forest-fire risk in Finland under different greenhouse gas scenarios, Boreal Environ. Res., 19, 127–139, 2014b.
Lehtonen, I., Venäläinen, A., Kämäräinen, M., Peltola, H., and Gregow, H.: Risk of large-scale fires in boreal forests of Finland under changing climate, Nat. Hazards Earth Syst. Sci., 16, 239–253, https://doi.org/10.5194/nhess-16-239-2016, 2016.
Leiding, T., Tinz, B., Rosenhagen, G., Lefevre, C., Haeseler, S., Hagemann, S., Bastigkeit, I., Stein, D., Schwenk, P., Mueller, S., Outzen, O., Herklotz, K., Kinder, F., and Neumann, T.: Meteorological and oceanographic conditions at the FINO platforms during the severe storms Christian and Xaver, DEWI Magazin, 44, 16–25, 2014.
Lenderink, G., Belušić, D., Fowler, H., Kjellström, E., Lind, P., van Meijgaard, E., van Ulft, B., and de Vries, H.: Systematic increases in the thermodynamic response of hourly precipitation extremes in an idealized warming experiment with a convection-permitting climate model, Environ. Res. Lett., 14, 074012, https://doi.org/10.1088/1748-9326/ab214a, 2019.
Lenggenhager, S., Croci-Maspoli, M., Brönnimann, S., and Martius, O.: On the dynamical coupling between atmospheric blocks and heavy precipitation events: a discussion of the southern Alpine flood in October 2000, Q. J. Roy. Meteor. Soc., 145, 530–545, https://doi.org/10.1002/qj.3449, 2019.
Lensu, M., Haapala, J., Lehtiranta, J., Eriksson, P., Kujala, P.,
Suominen, M., Mård, A., Vedenpää, L., Kõuts, T., and
Lilover, M.-J.: Forecasting of compressive ice conditions, in: Proceedings of
the International Conference on Port and Ocean Engineering under Arctic
Conditions (POAC'13), available at: https://www.poac.com/Papers/2013/pdf/POAC13_208.pdf (last access: 18 December 2021), 2013.
Leppäranta, M.: The drift of sea ice, 2nd edn., Springer, Heidelberg,
https://doi.org/10.1007/978-3-642-04683-4, 2011
Leppäranta, M. and Myrberg, K.:
Physical Oceanography of the Baltic Sea, Springer, Berlin, Heidelberg, New York, 378 pp., 2009.
Lind, P. and Kjellström, E.: Water budget in the Baltic Sea
drainage basin: Evaluation of simulated fluxes in a regional climate
model, Boreal Environ. Res., 14, 56–67. 2009.
Lind, P., Belušić, D., Christensen, O. B., Dobler, A., Kjellström, E., Landgren, O., Lindstedt, D., Matte, D., Pedersen, R. A., Toivonen, E., and Wang, F.: Benefits and added value of convection-permitting climate modeling over Fenno-Scandinavia, Clim. Dynam., 55, 1893–1912, https://doi.org/10.1007/s00382-020-05359-3, 2020.
Lindberg, H., Granström, A., Gromtsev, A., Levina, M., Shorohova, E., and Vanha-Majamaa, I.: The annually burnt forest area is relatively low in Fennoscandia, in: Climate change and forest management affect forest fire risk in Fennoscandia, edited by: Aalto, J., and Venäläinen, A., Finnish Meteorological Institute Reports 2021:3, Helsinki, Finland, 28–65, https://doi.org/10.35614/isbn.9789523361355, 2021.
Lindeberg, M., Kujala, P., Toivola, J., and Niemelä, H.: Real-time winter traffic simulation tool – based on a deterministic model, Online, Scientific Journals of the Maritime University of Szczecin, 42, 118–124, 2015.
Lindeberg, M., Kujala, P., Karjalainen, M., and Toivola, J.:
Simulation model of the Finnish winter navigation system, In: Proceedings of the 13th International Marine Design Conference (IMDC 2018), 10–14 June 2018, Helsinki, Finland, CRC Press, London, https://doi.org/10.1201/9780429440519, 2018.
Lindenberg. J., Mengelkamp, H. T., and Rosenhagen, G.: Representativity of near surface wind measurements from coastal stations at the German Bight, Meteorol. Z, 21, 99–106, 2012.
Liu, X., He, B., Guo, L., Huang, L., and Chen, D.: Similarities and differences in the mechanisms causing the European summer heatwaves in 2003, 2010, and 2018, Earths Future, 8, e2019EF001386, https://doi.org/10.1029/2019EF001386, 2020.
Luomaranta, A., Ruosteenoja, K., Jylhä, K., Gregow, H., Haapala, J., and
Laaksonen, A.: Multimodel estimates of the changes in the Baltic Sea ice cover
during the present century, Tellus A, 66, 22617, https://doi.org/10.3402/tellusa.v66.22617,
2014.
Luomaranta, A., Aalto, J., and Jylhä, K.: Snow cover trends in Finland over 1961–2014 based on gridded snow depth observations, Int. J. Climatol., 7, 3147–3159, https://doi.org/10.1002/joc.6007, 2019.
Lussana, C., Tveito, O. E., Dobler, A., and Tunheim, K.: seNorge_2018, daily precipitation, and temperature datasets over Norway, Earth Syst. Sci. Data, 11, 1531–1551, https://doi.org/10.5194/essd-11-1531-2019, 2019.
Lyons, E. A., Jin, Y., and Randerson, J. T.: Changes in surface albedo after fire in boreal forest ecosystems of interior Alaska assessed using MODIS satellite observations, J. Geophys. Res., 113, G02012, https://doi.org/10.1029/2007JG000606, 2008.
Mäkelä, H. M., Venäläinen, A., Jylhä, K., Lehtonen, I., and Gregow, H.: Probabilistic projections of climatological forest fire danger in Finland, Clim. Res., 60, 73–85, 2014.
Manning, C., Widmann, M., Bevacqua, E., Van Loon, A. F., Maraun, D., and
Vrac, M.: Increased probability of compound long-duration dry and hot events
in Europe during summer (1950–2013), Environ. Res. Lett., 14, 094006, https://doi.org/10.1088/1748-9326/ab23bf, 2019.
Marcos, M. and Woodworth, P. L.: Spatiotemporal changes in extreme sea levels along the coasts of the North Atlantic and the Gulf of Mexico, J. Geophys. Res.-Oceans, 122, 7031–7048, https://doi.org/10.1002/2017JC013065, 2017.
Marshall, A. G. and Scaife, A. A: Impact of the QBO on surface
winter climate. J. Geophys. Res., 114, D18110, https://doi.org/10.1029/2009JD011737,
2009.
Marshall, J., Johnson, H., and Goodman, J.: A study of the interaction of the North Atlantic Oscillation with the ocean circulation, J. Climate, 14, 1399–1421, 2001.
Marshall, G. J., Jylhä, K., Kivinen, S., Laapas, M., and Verpe Dyrrdal, A.: The role of atmospheric circulation patterns in driving recent changes in indices of extreme seasonal precipitation across Arctic Fennoscandia, Climatic Change, 162, 741–759, https://doi.org/10.1007/s10584-020-02747-w, 2020.
Martel, J., Mailhot, A., and Brissette, F.: Global and regional projected changes in 100-yr subdaily, daily, and multiday precipitation extremes estimated from three large ensembles of climate simulations, J. Climate, 33, 1089–1103, https://doi.org/10.1175/JCLI-D-18-0764.1, 2020.
Matthes, H. Rinke, A., and Dethloff, K.: Recent changes in Arctic temperature extremes: warm and cold spells during winter and summer, Environ. Res. Lett., 10, 114020, https://doi.org/10.1088/1748-9326/10/11/114020, 2015.
Matthews, T., Murphy, C., Wilby, R. L., and Harrigan, S.: A cyclone climatology of the British-Irish Isles 1871–2012, Int. J. Climatol., 36, 1299–1312, 2016.
Mazon, J., Niemelä, S. Pino, D., Savijärvi, H., and Vihma, T.: Snow bands over the Gulf of Finland in wintertime, Tellus A, 67, 25102, https://doi.org/10.3402/tellusa.v67.25102, 2015.
Medvedev, I. P., Rabinovich, A. B., and Kulikov, E. A.: Tides in three enclosed basins: the Baltic, Black, and Caspian seas, Frontiers in Marine Science, 3, 46, https://doi.org/10.3389/fmars.2016.00046, 2016.
Meehl, G. A., Tebaldi, C., Walton, G., Easterling, D., and McDaniel, L.: Relative increase of record high maximum temperatures compared to record low minimum temperatures in the U.S., Environ. Res. Lett., 36, L23701, https://doi.org/10.1029/2009GL040736, 2009.
Mei, L., Xue, Y., de Leeuw, G., Guang, J., Wang, Y., Li, Y., Xu, H., Yang, L., Hou, T., He, X., Wu, C., Dong, J., and Chen, Z.: Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010, Biogeosciences, 8, 3771–3791, https://doi.org/10.5194/bg-8-3771-2011, 2011.
Meier, H. E. M., Dieterich, C., Eilola, K, Gröger, M., Höglund, A., Radtke, H., Saravia, S., and Wåhlström, I.: Future projections of record-breaking sea surface temperature and cyanobacteria bloom events in the Baltic Sea, Ambio, 48, 1362–1376, https://doi.org/10.1007/s13280-019-01235-5, 2019.
Meier, H. E. M., Kniebusch, M., Dieterich, C., Gröger, M., Zorita, E., Elmgren, R., Myrberg, K., Ahola, M., Bartosova, A., Bonsdorff, E., Börgel, F., Capell, R., Carlén, I., Carlund, T., Carstensen, J., Christensen, O. B., Dierschke, V., Frauen, C., Frederiksen, M., Gaget, E., Galatius, A., Haapala, J. J., Halkka, A., Hugelius, G., Hünicke, B., Jaagus, J., Jüssi, M., Käyhkö, J., Kirchner, N., Kjellström, E., Kulinski, K., Lehmann, A., Lindström, G., May, W., Miller, P., Mohrholz, V., Müller-Karulis, B., Pavón-Jordán, D., Quante, M., Reckermann, M., Rutgersson, A., Savchuk, O. P., Stendel, M., Tuomi, L., Viitasalo, M., Weisse, R., and Zhang, W.: Climate Change in the Baltic Sea Region: A Summary, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-67, in review, 2021.
Meier, M., Rutgersson, A., and Reckerman, M.: An Earth System Science Program
for the Baltic Sea region, EOS T. Am. Geophys. Un., 95, 109–110, 2014.
Mentaschi, L., Vousdoukas, M. I., Voukouvalas, E., Dosio, A., and Feyen, L.: Global changes of extreme coastal wave energy fluxes triggered by intensified teleconnection patterns, Geophys. Res. Lett., 44, 2416–2426, https://doi.org/10.1002/2016GL072488, 2017.
Michaelis, A. C., Willison, J., Lackmann, G. M., and Robinson, W. A.: Changes in winter North Atlantic extratropical cyclones in high-resolution regional pseudo–global warming simulations, J. Climate, 30, 6905–6925, https://doi.org/10.1175/JCLI-D-16-0697.1, 2017.
Mielonen, T., Portin, H., Komppula, M., Leskinen, A., Tamminen, J., Ialongo, I., Hakkarainen, J., Lehtinen, K. E. J., and Arola, A.: Biomass burning aerosols observed in eastern Finland during the Russian wildfires in summer 2010 – Part 2: Remote sensing, Atmos. Environ., 47, 279–287, 2012.
Migliavacca, M., Dosio, A., Camia, A., Hobourg, R., Houston-Durrant, T., Kaiser, J. W., Khabarov, N., Krasovskii, A. A., Marcolla, B., San-Miguel-Ayanz, J., Ward, D. S., and Cescatti, A.: Modeling biomass burning and related carbon emissions during the 21st century in Europe, J. Geophys. Res.-Biogeo., 118, 1732–1747, 2013.
Milenković, M., Ducić, V., Mihajlović, J., and Babić, V.:
Forest fires in Finland: the influence of atmospheric
oscillations, J. Geogr. Inst. Cvijic., 69, 75–82,
https://doi.org/10.2298/IJGI1901075M, 2019.
Miralles, D. G., Teuling, A. J., van Heerwaarden, C. C., and Vilà-Guerau de Arellano, J.: Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation, Nat. Geosci., 7, 7345, https://doi.org/10.1038/ngeo2141, 2014.
Mitchell, D., Davini, P., Harvey, B., Massey, N., Haustein, K., Woollings, T., Jones, R., Otto, F., Guillod, B., Sparrow, S., Wallom, D., and Allen, M.: Assessing mid-latitude
dynamics in extreme event attribution systems, Clim. Dynam., 48, 3889–3901, https://doi.org/10.1007/s00382-016-3308-z, 2017.
Mishnaevsky, L.: Toolbox for optimizing anti-erosion protective coatings of wind turbine blades: overview of mechanisms and technical solutions, Wind Energy, 22, 1636–1653, https://doi.org/10.1002/we.2378, 2019.
Mohrholz, V., Naumann, M., Nausch, G., Krüger, S., and Gräwe, U.:
Fresh oxygen for the Baltic Sea: an exceptional saline inflow after a decade
of stagnation, J. Marine Syst., 148, 152–166,
https://doi.org/10.1016/j.jmarsys.2015.03.005, 2015.
Mokrech, M., Kebede, A., Nicholls, R, Wimmer, F., and Feyen, L.: An integrated approach for assessing flood impacts due to future climate and socio-economic conditions and the scope of adaptation in Europe, Climatic Change, 128, 245–260, https://doi.org/10.1007/s10584-014-1298-6, 2014.
Montewka, J., Goerlandt, F., Kujala, P., and Lensu, M.: Towards probabilistic models for the prediction of a ship performance in dynamic ice, Cold Reg. Sci. Technol., 112, 14–28, 2015.
Moss, R., Babiker, M., Brinkman, S.; Calvo, E.; Carter, T., Edmonds, J. Elgizouli, I., Emori, S., Erda, L., Hibbard, K., Jones, R., Kainuma, M., Kelleher, J., Lamarque, J. F., Manning, M., Matthews, B., Meehl, J., Meyer, L., Mitchell, J., Nakicenovic, N., O'Neill, B., Pichs, R., Riahi, K., Rose, S., Runci, P., Stouffer, S., van Vuuren, D., Weyant, J., Wilbanks, T., van Ypersele, J. P., and Zurek, M.: Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies (PDF), Intergovernmental Panel on Climate Change, Geneva, 132 pp., 2008.
Munich Re: The natural disasters of 2018 in figures, available at: https://www.munichre.com/topics-online/en/climate-change-and-natural-disasters/natural-disasters/the-natural-disasters-of-2018-in-figures.html (last access: 18 December 2021), 2018.
Munk, W. H.: Origin and Generation of Waves, in: Proc. 1st Conf. Coastal Engineering (Long Beach), ASCE, New York, 95–108, 1950.
Mustonen, K.-R., Mykrä, H., Marttila. H., Sarremejane. R., Veijalainen. N., Sippel. K., Muotka. T., and Hawkins, C.: Thermal and hydrologic responses to climate change predict marked alterations in boreal stream invertebrate assemblages, Glob. Change Biol., 24, 2434–2446, https://doi.org/10.1111/gcb.14053, 2018.
Nakamura, T., Yamazaki, K., Iwamoto, K., Honda, M., Miyoshi, Y., Ogawa, Y., and Ukita, J.: A negative phase shift of the winter AO/NAO due to the recent Arctic sea-ice reduction in late autumn, J. Geophys. Res.-Atmos., 120, 3209–3227, https://doi.org/10.1002/2014JD022848, 2015.
Nakicenovic, N., Alcamo, J., Grubler, A., Riahi, K., Roehrl, R. A., Rogner, H.-H., and Victor, N.: Special Report on Emissions Scenarios (SRES), A Special Report of Working Group III of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, ISBN 0-521-80493-0, 2000.
Nasonova, O. N., Gusev, Y. M., Volodin, E. M., and Kovalev, E. E.: Application of the land surface model SWAP and global climate model INMCM4.0 for projecting runoff of northern Russian rivers, 1. Historical simulations, Water Resour., 45, 73–84, 2018.
Naumann, M., Umlauf, L., Mohrholz, V., Kuss, J., Siegel, H.,
Waniek, J. J., and Schulz-Bull, D. E.: Hydrographic-hydrochemical assessment of the Baltic Sea 2017, Meereswissenschaftliche Berichte, Warnemünde, 107, 1–97, https://doi.org/10.12754/msr-2018-0107, 2018.
Nikulin, G., Kjellström, E., Hansson, U., Jones, C., Strandberg, G., and
Ullerstig, A.: Evaluation and future projections of temperature, precipitation
and wind extremes over Europe in an ensemble of regional climate simulations,
Tellus A, 63, 41–55, https://doi.org/10.1111/j.1600-0870.2010.00466.x, 2011.
Nilsson, E., Rutgersson, A., Dingwell, A., Björkqvist, J.-V., Pettersson, H., Axell, L., Nyberg, J., and Strömstedt, E.: Characterization of wave energy potential for the Baltic Sea with focus on the Swedish Exclusive Economic Zone, Energies, 12, 793, https://doi.org/10.3390/en12050793, 2019.
Nilsson, E., Wrang, L., Rutgersson, A., Dingwell, A., and Strömstedt, E.: Assessment of extreme and metocean conditions in the Swedish Exclusive Economic Zone for wave energy, Atmosphere, 11, 229, https://doi.org/10.3390/atmos11030229, 2020.
Ning, L. and Bradley, R. S.: NAO and PNA influences on winter temperature and precipitation over the eastern United States in CMIP5 GCMs, Clim. Dynam., 46, 1257–1276, https://doi.org/10.1007/s00382-015-2643-9, 2016.
Niziol, T. A., Snyder, W. R., and Waldstreicher, J. S.: Winter weather forecasting throughout the eastern United States, Part IV: Lake effect snow, Weather Forecast., 10, 61–77, 1995.
Öberg, J.: Cyanobacteria blooms in the Baltic Sea in 2017, HELCOM Baltic
Sea Environment Fact Sheets, available at: http://helcom.fi/baltic-sea-trends/environment-fact-sheets/eutrophication/cyanobacterial-blooms-in-the-baltic-sea/, last access: 25 November 2017.
Oikkonen, A., Haapala, J., Lensu, M., and Karvonen, J.: Sea ice
drift and deformation in the coastal boundary zone. Geophys. Res. Lett., 43, 10303–10310, https://doi.org/10.1002/2016GL069632, 2016.
Oliver, E. C. J., Burrows, M. T., Donat, M. G., Sen Gupta, A., Alexander, L. V., Perkins-Kirkpatrick, S. E., Benthuysen, J. A., Hobday, A. J., Holbrook, N. J., Moore, P. J., Thomsen, M. S., Wernberg, T., and Smale, D. A.: Projected marine heatwaves in the 21st century and the potential for ecological impact, Frontiers in Marine Science, 6, 734. https://doi.org/10.3389/fmars.2019.00734, 2019.
Olofsson, M., Suikkanen, S., Kobos, J., Wasmund, N., and Karlson, B.:
Basin-specific changes in filamentous cyanobacteria community composition
across four decades in the Baltic Sea, Harmful Algae, 91, 101685, https://doi.org/10.1016/j.hal.2019.101685, 2020.
Olsson, J., Yang, W., Graham, L. P., Rosberg, J., and Andreasson, J.: Using an ensemble of climate projections for simulating recent and near-future hydrological change to Lake Vanern in Sweden, Tellus A, 63, 126–137, 2011.
Olsson, J., Berg, P., Eronn, A., Simonsson, L., Södling, J., Wern, L., and
Yang, W.: Extremregn i nuvarande och framtida klimat: analyser av
observationer och framtidsscenarier, Klimatologi, 47, SMHI, Norrköping, Sweden, 70 pp., 2017 (in
Swedish).
Olsson, T., Jakkila, J., Veijalainen, N., Backman, L., Kaurola, J., and Vehviläinen, B.: Impacts of climate change on temperature, precipitation and hydrology in Finland – studies using bias corrected Regional Climate Model data, Hydrol. Earth Syst. Sci., 19, 3217–3238, https://doi.org/10.5194/hess-19-3217-2015, 2015.
Olsson, T., Perttula, T., Jylhä, K., and Luomaranta, A.: Intense sea-effect snowfall case on the western coast of Finland, Adv. Sci. Res., 14, 231–239, https://doi.org/10.5194/asr-14-231-2017, 2017.
Olsson, T., Post, P., Rannat, K., Keernik, H., Perttula, T., Luomaranta, A., Jylhä, K., Kivi, R., and Voormansik, T.: Sea-effect snowfall case in the Baltic Sea region analysed by reanalysis, remote sensing data and convection-permitting mesoscale modelling, Geophysica, 53, 65–91, 2018.
Olsson, T., Luomaranta, A., Jylhä, K., Jeworrek, J., Perttula, T., Dieterich, C., Wu, L., Rutgersson, A., and Mäkelä, A.: Statistics of sea-effect snowfall along the Finnish coastline based on regional climate model data, Adv. Sci. Res., 17, 87–104, https://doi.org/10.5194/asr-17-87-2020, 2020.
Omstedt, A. and Chen, D.: Influence of atmospheric circulation on the maximum ice extent in the Baltic Sea, J. Geophys. Res., 106, 4493– 4500, https://doi.org/10.1029/1999JC000173, 2001.
O'Neil, J. M., Davis, T. W., Burford, M. A., and Gobler, C. J.: The rise of harmful cyanobacteria blooms: the potential roles of eutrophication and climate change, Harmful Algae, 14, 313–334, 2012.
Oris, F., Asselin, H., Ali, A. A., Finsinger, W., and Bergeron, Y.: Effect of increased fire activity on global warming in the boreal forest, Environ. Rev., 22, 206–219, 2014.
Orlowsky, B. and Seneviratne, S. I.: Elusive drought: uncertainty in observed trends and short- and long-term CMIP5 projections, Hydrol. Earth Syst. Sci., 17, 1765–1781, https://doi.org/10.5194/hess-17-1765-2013, 2013.
Overland, J., Francis, J. A., Hall, R., Hanna, E., Kim, S. J., and Vihma, T.:
The melting Arctic and midlatitude weather patterns: are they connected?, J. Climate, 28, 7917–7932, https://doi.org/10.1175/jcli-d-14-00822.1, 2015.
Owczarek, M. and Filipiak, J.: Contemporary changes of thermal conditions in Poland, 1951–2015, Bulletin of Geography, Physical Geography Series, 10, 31–50, https://doi.org/10.1515/bgeo-2016-0003, 2016.
Paprota, M., Przewłócki, J., Sulisz, W., and Swerpel, B. E.: Extreme
waves and wave events in the Baltic Sea, in: Proceedings of MAXWAVE Final Meeting, 8–10 October 2003, Geneva, Switzerland, 2003.
Paprotny, D. and Terefenko, P.: New estimates of potential impacts of sea level rise and coastal floods in Poland, Nat. Hazards, 85, 1249–1277, 2017.
Parviainen, J.: Impact of fire on Finnish forest in the past and today, Silva Fenn., 30, 353–359, https://doi.org/10.14214/sf.a9246, 1996.
Partasenok, I.: Winter cyclone frequency and following freshet streamflow
formation on the rivers in Belarus, Environ. Res. Lett., 9, 095005, https://doi.org/10.1088/1748-9326/9/9/095005, 2014.
Patey, M. and Riska, K.: Simulation of ship transit through ice, INSROP, INSROP Working Paper 155-1999, 1999.
Peings, Y. and Magnusdottir, G.: Wintertime atmospheric response to Atlantic multidecadal variability: effect of stratospheric representation and ocean–atmosphere coupling, Clim. Dynam., 47, 1029–1047, https://doi.org/10.1007/s00382-015-2887-4, 2016.
Pellikka, H., Laurila, T. K., Boman, H., Karjalainen, A., Björkqvist, J.-V., and Kahma, K. K.: Meteotsunami occurrence in the Gulf of Finland over the past century, Nat. Hazards Earth Syst. Sci., 20, 2535–2546, https://doi.org/10.5194/nhess-20-2535-2020, 2020.
Peterson, T. C. and Manton, M. J.: Monitoring changes in climate extremes: a tale of international collaboration, B. Am. Meteorol. Soc., 89, 1266–1271, 2008.
Pettersson, H. and Jönsson, A.: Wave climate in the northern Baltic Sea in
2004, HELCOM Baltic Sea Environment Fact Sheets, available at:
http://www.helcom.fi/baltic-sea-trends/environment-fact-sheets/ (last
access: 10 September 2015), 2005.
Pettersson, H., Kalén, O., and Brüning, T.: Wave climate in the Baltic
Sea in 2017, HELCOM Baltic Sea Environment Fact Sheets, available at:
http://www.helcom.fi/baltic-sea-trends/environment-fact-sheets/ (last
access: 26 March 2019), 2018.
Piotrowski, A., Szczucinski, W., Sydor, P., Kotrys, B., Rzodkiewicz, M., and Krzyminska, J.: Sedimentary evidence of extreme storm surge or tsunami events in the southern Baltic Sea (Rogowo area, NW Poland), Geol. Q., 61, 973–986, 2017.
Poljanšek, K., Marin Ferrer, M., De Groeve, T., and Clarke, I. (Eds.): Science for disaster risk management 2017: knowing better and losing less, EUR 28034 EN, Publications Office of the European Union, Luxembourg, 2017.
Pontoppidan, M., Reuder, J., Mayer, S., and Kolstad, E. W.: Downscaling an intense precipitation event in complex terrain: the importance of high grid resolution, Tellus A, 69, 1271561, https://doi.org/10.1080/16000870.2016.1271561, 2017.
Popovicheva, O., Kistler, M., Kireeva, E., Persiantseva, N., Timofeev, M., Kopeikin, V., and Kaspar-Giebl, A.: Physicochemical characterization of smoke aerosol during large-scale wildfires: extreme event of August 2010 in Moscow, Atmos. Environ., 96, 405–414, https://doi.org/10.1016/j.atmosenv.2014.03.026, 2014.
Prahl, B. F., Boettle, M., Costa, L., Kropp, J. P., and Rybski, D.:
Damage and protection cost curves for coastal floods within the
600 largest European cities, Sci. Data, 5, 180034, https://doi.org/10.1038/sdata.2018.34, 2018.
Prein, A. F., Gobiet, A., Truehetz, H., Keuler, K., Goergen, K., Teichmann, C., Fox Maule, C., van Meijgaard, E., Déqué, M., Nikulin, G., Vautard, R., Colette, A., Kjellström, E., and Jacob, D.: Precipitation in the EURO-CORDEX 0.11∘ and 0.44∘ simulations: high resolution, high benefits?, Clim. Dynam., 46, 383–412, https://doi.org/10.1007/s00382-015-2589-y, 2016.
Prudhomme, C., Giuntoli, I., Douglas, E. K., Clark, B., Arnell, N. W., Dankers, R., Fekete, B. M., Franssen, W., Gerten, D., Gosling, S. N., Hagemann, S., Hannah, D. M., Kim, H., Masaki, Yo., Satoh, Y., Stacke, T., Wada, Y., and Wisser, D.: Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment, P. Natl. Acad. Sci. USA, 111, 3262–3267, https://doi.org/10.1073/pnas.1222473110, 2014.
Pryor, S. C., Barthelmie, R. J., Clausen, N. E., Drews, M., MacKeller, N., and Kjellström, E.: Analysis of possible changes in intense and extreme wind speeds over Northern Europe under climate change scenarios, Clim. Dynam., 38, 189–208, 2012.
Przybylak, R., Vízi, Z., Araźny, A., Kejna, M., Maszewski, R., and Uscka-Kowalkowska, J.: Poland's climate extremes index, 1951–2005, Geogr. Polonica., 80, 47–58, 2007.
Punkka, A.-J.: Mesoscale convective systems in Finland, Finnish Meteorological
Institute Contributions, 116, Helsinki, Finland, available at; http://urn.fi/URN:ISBN:978-951-697-866-9 (last access: 8 December 2021), 2015.
Räämet, A. and Soomere, T.: The wave climate and its seasonal variability in the northeastern Baltic Sea, Est. J. Earth Sci., 59, 100–113, https://doi.org/10.3176/earth.2010.1.08, 2010.
Räämet, A., Soomere, T., and Zaitseva-Pärnaste, I.: Variations in extreme wave heights and wave directions in the north-eastern Baltic Sea, P. Est. Acad. Sci., 59, 182–192, 2010.
Raible, C., Della-Marta, P. M., Schwierz, C., and Blender, R.: Northern hemisphere extratropical cyclones: a comparison of detection and tracking methods and different reanalyses, Mon. Weather Rev., 136, 880–897, 2008.
Räisänen, J.: Effect of atmospheric circulation on recent temperature changes in Finland, Clim. Dynam., 53, 5675–5687, https://doi.org/10.1007/s00382-019-04890-2, 2019.
Räisänen, J. A.: Future climate change in the Baltic Sea region and environmental impacts, in Oxford Research Encyclopedias: Climate Science, edited by: Storch, H. V., Oxford University Press, Oxford, https://doi.org/10.1093/acrefore/9780190228620.013.634, 2017.
Rajczak, J., Pall, P., and Schär, C.: Projections of extreme precipitation events in regional climate simulations for Europe and the Alpine Region, J. Geophys. Res.-Atmos., 118, 3610–3626, https://doi.org/10.1002/jgrd.50297, 2013.
Randerson, J. T., Liu, H., Flanner, M. G., Chambers, S. D., Jin, Y., Hess, P. G., Pfister, G., Mack, M. C., Treseder, K. K., Welp, L. R., Chapin, F. S., Harden, J. W., Goulden, M. L., Lyons, E., Neff, J. C., Schuur, E. A. G., and Zender, C. S.: The impact of boreal forest fire on climate warming, Science, 314, 1130–1132, 2006.
Rauhala, J., Brooks, H. E., Schultz, D. M.: Tornado climatology of Finland, Mon. Weather Rev., 140, 1446–1456, https://doi.org/10.1175/MWR-D-11-00196.1, 2012.
Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., and Gratzki, A.: A Central European precipitation climatology – Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS), Meteorol. Z., 22, 235–256, https://doi.org/10.1127/0941-2948/2013/0436, 2013.
Ravestein, P., van der Schrier, G., Haarsma, R., Scheele, R., and van den Broek, M.: Vulnerability of European intermittent renewable energy supply to climate change and climate variability, Renew. Sust. Energ. Rev., 97, 497–508, https://doi.org/10.1016/j.rser.2018.08.057, 2018.
Reckermann, M., Omstedt, A., Soomere, T., Aigars, J., Akhtar, N., Bełdowska, M., Bełdowski, J., Cronin, T., Czub, M., Eero, M., Hyytiäinen, K. P., Jalkanen, J.-P., Kiessling, A., Kjellström, E., Kuliński, K., Larsén, X. G., McCrackin, M., Meier, H. E. M., Oberbeckmann, S., Parnell, K., Pons-Seres de Brauwer, C., Poska, A., Saarinen, J., Szymczycha, B., Undeman, E., Wörman, A., and Zorita, E.: Human impacts and their interactions in the Baltic Sea region, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-54, in review, 2021.
Reihan, A., Koltsova, T., Kriaučiūnienė, J., Lizuma, L., and Meilutytė-Barauskienė, D.: Changes in water discharges of the Baltic states rivers in the 20th century and its relation to climate change, Nord Hydrol., 38, 401–412, 2007.
Rennert, K. J. and Wallace, J. M.: Cross-frequency coupling, skewness, and blocking in the northern hemisphere winter circulation, J. Climate, 22, 5650–5666, 2009.
Reusch, T. B. H., Dierking, J., Andersson, H. C., Bonsdorff, E.,
Carstensen, J., Casini, M., Czajkowski, M., Hasler, B., Hinsby, K., Hyytiäinen, K., Johannesson, K., Jomaa, S., Jormalainen, V., Kuosa, H., Kurland, S., Laikre, L., MacKenzie, B. R., Margonski, P., Melzner, F., Oesterwind, D., Ojaveer, H., Refsgaard, J., C., Sandström, A., Schwarz, G., Tonderski, K., Winder, M., and Zandersen, M.: The Baltic Sea as a time machine for the future coastal ocean, Science Advances, 4, eaar8195, https://doi.org/10.1126/sciadv.aar8195, 2018.
Rey, J., Rohat, G., Perroud, M., Goyette, S., and Kasparian, J.: Shifting velocity of temperature extremes under climate change, Environ. Res. Lett., 15, 034027, https://doi.org/10.1088/1748-9326/ab6c6f, 2020.
R'Honi, Y., Clarisse, L., Clerbaux, C., Hurtmans, D., Duflot, V., Turquety, S., Ngadi, Y., and Coheur, P.-F.: Exceptional emissions of NH3 and HCOOH in the 2010 Russian wildfires, Atmos. Chem. Phys., 13, 4171–4181, https://doi.org/10.5194/acp-13-4171-2013, 2013.
Ribeiro, A., Barbosa, S. M., Scotto, M. G., and Donner, R. V.: Changes in extreme sea-levels in the Baltic Sea, Tellus A, 66, 20921, https://doi.org/10.3402/tellusa.v66.20921, 2014.
Rodwell, M. J., Rowell, D. P., Folland, C. K.: Oceanic forcing of the wintertime North Atlantic Oscillation and European climate, Nature, 398, 320–323, 1999.
Ronkainen, I., Lehtiranta, J., Lensu, M., Rinne, E., Haapala, J., and Haas, C.: Interannual sea ice thickness variability in the Bay of Bothnia, The Cryosphere, 12, 3459–3476, https://doi.org/10.5194/tc-12-3459-2018, 2018.
Rosenhagen, G. and Bork, I.: Rekonstruktion der Sturmflutwetterlage vom
13. November 1872, MUSTOK-Workshop 2008, Siegen, 4–5 March 2008, 2008.
Roudier, P., Andersson, J., Donnelly, C., Feyen, L., Greuell, W., and Ludwig, F.: Projections of future floods and hydrological droughts in Europe under a +2 ∘C global warming, Climatic Change, 135, 341–355, https://doi.org/10.1007/s10584-015-1570-4, 2016.
Rowe, J. S. and Scotter, G. W.: Fire in the boreal forest, Quaternary Res., 3, 444–464, 1973.
Ruokolainen, L. and Salo, K.: The succession of boreal forest vegetation during ten years after slash-burning in Koli National Park, eastern Finland, Ann. Bot. Fenn., 43, 363–378, 2006.
Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P., and Peltola, H.: Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century, Clim. Dynam., 50, 1177–1192, 2018.
Ruosteenoja, K., Markkanen, T., and Räisänen, J.: Thermal seasons in Northern Europe in projected future climate, Int. J. Climatol., 40, 4444–4462, https://doi.org/10.1002/joc.6466, 2020.
Rutgersson, A., Jaagus, J., Schenk, F., and Stendel, M.: Observed changes and variability of atmospheric parameters in the Baltic Sea region during the last 200 years, Clim. Res., 61, 177–190, https://doi.org/10.3354/cr01244, 2014.
Ruuhela, R., Hyvärinen, O., and Jylhä, K.: Regional assessment of temperature-related mortality in Finland, Int. J. Env. Res. Pub. He., 15, 406, https://doi.org/10.3390/ijerph15030406, 2018.
Ruuhela, R., Votsis, A., Kukkonen, J., Jylhä, K., Kankaanpää, S., and Perrels, A.: Temperature-related mortality in Helsinki compared to its surrounding region over two decades, with special emphasis on intensive heatwaves, Atmosphere, 12, 46, https://doi.org/10.3390/atmos12010046, 2021.
Saku, S., Solantie, R., Jylhä, K., Venäläinen, A., and Valta, H.:
Äärilämpötilojen alueellinen vaihtelu Suomessa (Spatial
variations of extreme temperatures in Finland), Finnish Meteorological
Institute, Reports, 2011:1, 92 pp., 2011 (in Finnish with English abstract).
Saranko, O., Fortelius, C. Jylhä, K., Ruosteenoja, K., Brattich, E., Di
Sabatino, S., and Nurmi, V.: Impacts of town characteristics on the changing urban climate in Vantaa, Sci. Total Environ., 727, 38471, https://doi.org/10.1016/j.scitotenv.2020.138471, 2020.
Savela, H., Harju, K., Spoof, L., Lindehoff, E., Meriluoto, J.,
Vehniäinen, M., and Kremp, A.:. Quantity of the dinoflagellate sxtA4 gene and cell density correlates with paralytic shellfish toxin production in Alexandrium ostenfeldii blooms, Harmful Algae, 52, 1–10, 2016.
Savijärvi, H.: Cold air outbreaks over high-latitude sea gulfs, Tellus A, 64, 12244, https://doi.org/10.3402/tellusa.v64i0.12244, 2012.
Savijärvi, H.: Cold air outbreaks along a non-frozen sea channel: effects of wind on snow bands, Meteorol. Atmos. Phys., 127, 383–391, https://doi.org/10.1007/s00703-015-0370-8, 2015.
Scaife, A. A., Knight, J. R., Vallis, G., and Folland, C. K.: A stratospheric influence on the winter NAO and North Atlantic surface climate, Geophys. Res. Lett., 32, L18715 https://doi.org/10.1029/2005GL023226, 2005.
Schenk, F.: The analog-method as statistical upscaling tool for meteorological field reconstructions over Northern Europe since 1850, Dissertation, Univ. Hamburg, 2015.
Schenk, F. and Zorita, E.: Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling, Clim. Past, 8, 1681–1703, https://doi.org/10.5194/cp-8-1681-2012, 2012.
Schimanke, S., Undén, P., Isaksson, L., Edvinsson, L., Ridal, M.,
Olsson, E., Hopsch, S., and Andersson, S.: Copernicus regional reanalysis for
Europe, European Meteorological Society Annual Meeting Abstracts, 16,
EMS2019-134, available at: https://meetingorganizer.copernicus.org/EMS2019/EMS2019-134.pdf (last access: 3 July 2020), 2019.
Schubert, S. D., Wang, H., Koster, R. D., Suarez, M. J., and Groisman, P. Y.: Northern Eurasian heat waves and droughts, J. Climate, 27, 3169–3207, https://doi.org/10.1175/JCLI-D-13-00360.1, 2014.
Screen, J. A.: Arctic amplification decreases temperature variance in northern mid- to high-latitudes, Nat. Clim. Change, 4, 577–582, https://doi.org/10.1038/nclimate2268, 2014.
Screen, J. A., Simmonds, I., Deser, C., and Tomas, R.: The atmospheric response to three decades of observed Arctic sea ice loss, J. Climate, 26, 1230–1248, https://doi.org/10.1175/JCLI-D-12-00063.1, 2013.
Scussolini, P., Aerts, J. C. J. H., Jongman, B., Bouwer, L. M.,
Winsemius, H. C., de Moel, H., and Ward, P. J.: FLOPROS: an evolving global
database of flood protection standards, Nat. Hazards Earth Syst. Sci., 16,
1049–1061, https://doi.org/10.5194/nhess-16-1049-2016, 2016.
Seinä, A. and Palosuo, E.: The classification of the maximum annual extent of ice cover in the Baltic Sea 1720–1995, MERI-Report Series of the Finnish Inst. of Marine Res., 27, 79–91, 1996.
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., and Zhang, X.: Changes in climate extremes and their impacts on the natural physical environment, in: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, K. L., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P. M., A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC), Cambridge University Press, Cambridge, UK, and New York, NY, USA, 109–230, 2012.
Seneviratne, S. I., Wilhelm, M., Stanelle, T., van den Hurk, B., Hagemann, S., Berg, A., Cheruy, F., Higgins, M. E., Meier, A., Brovkin, V., Claussen, M., Ducharne, A., Dufresne, J.-L., Findell, K. L., Ghattas, J., Lawrence, D. M., Malyshev, S., Rummukainen, M., and Smith, B.: Impact of soil moisture-climate feedbacks on CMIP5 projections: first results from the GLACE-CMIP5 experiment, Geophys. Res. Lett., 40, 5212–5217, https://doi.org/10.1002/grl.50956, 2013.
Shaw, T. A., Baldwin, M., Barnes, E. A., Caballero, R., Garfinkel, C. I., Hwang, Y.-T., Li, C., O'Gorman, P. A., Rivière, G., Simpson, I. R., and Voigt, A.: Storm track processes and the opposing influences of climate change, Nat. Geosci., 9, 656–664, https://doi.org/10.1038/ngeo2783, 2016.
Sherstyukov, B. G. and Sherstyukov, A. B.: Assessment of increase in forest fire risk in Russia till the late 21st century based on scenario experiments with fifth-generation climate models, Russ. Meteorol. Hydrol., 39, 292–301, 2014.
Shepherd, T. G., Boyd, E., Calel, R. A., Chapman, S. C., Dessai, S., Dima-West, I. M., Fowler, H. J., James, R., Maraun, D., Martius, O., Senior, C. A., Sobel, A. H., Stainforth, D. A., Tett, S. F. B., Trenberth, K. E., van den Hurk, B. J. J. M., Watkins, N. W., Wilby, R. L., and Zenghelis, D. A.: Storylines: an alternative approach to representing uncertainty in physical aspects of climate change, Climatic Change, 151, 555–571, https://doi.org/10.1007/s10584-018-2317-9, 2018.
Shindell, D. T., Schmidt, G. A., Mann, M. E., Rind, D., and Waple, A.: Solar forcing of regional climate change during the Maunder minimum, Science, 294, 2149–2152, 2001.
Shvidenko, A. Z. and Schepaschenko, D. G.: Climate change and wildfires in Russia, Contemp. Probl. Ecol., 6, 683–692, 2013.
Sillmann, J., Kharin, V. V., Zwiers, F. W., Zhang, X., and Bronaugh, D.: Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections, J. Geophys. Res.-Atmos., 118, 2473–2493, https://doi.org/10.1002/jgrd.50188, 2013.
Sinclair, V. A., Mikkola, J., Rantanen, M., and Räisänen, J.: The summer 2018 heatwave in Finland, Weather, 74, 403–409, 2019.
Sinclair, V. A., Rantanen, M., Haapanala, P., Räisänen, J., and Järvinen, H.: The characteristics and structure of extra-tropical cyclones in a warmer climate, Weather Clim. Dynam., 1, 1–25, https://doi.org/10.5194/wcd-1-1-2020, 2020.
Sjöström, J. and Granström, A.: Skogsbränder och gräsbränder i Sverige – Trender och mönster under senare decennier (Wildfires in Sweden – trends and patterns during recent decades), Swedish Civil Contingencies Agency, Karlstad, 104 pp., 2020 (in Swedish with English abstract)
Sjöström, J., Plather, F. V., and Granström, A.: Wildfire ignition from forestry machines in boreal Sweden, Int. J. Wildland Fire, 28, 666–677, https://doi.org/10.1071/WF18229, 2019.
Slonosky, V. C., Jones, P. D., and Davies, T. D.: Variability of the surface atmospheric circulation over Europe, 1774–1995, Int. J. Climatol., 20, 1875–1897, 2000.
Slonosky, V. C., Jones, P. D., and Davies, T. D.: Atmospheric circulation and surface temperature in Europe from the 18th century to 1995, Int. J. Climatol., 21, 63–75, 2001.
Smedman, A.-S.: Occurrence of roll circulation in a shallow boundary layer, Bound.-Lay. Meteorol., 51, 343–358, 1991.
SMHI (Swedish Meteorological and Hydrological Institute): SMHI Home page:
Climate indicators – temperature, available at: https://www.smhi.se/en/climate/climate-indicators/climate-indicators-temperature-1.91472 (last access: 7 April 2020), 2019.
Smirnov, N. S., Korotkov, V. N., and Romanovskaya, A. A.: Black carbon emissions from wildfires on forest lands of the Russian Federation in 2007–2012, Russ. Meteorol. Hydrol., 40, 435–442, 2015.
Soomere, T.: Anisotropy of wind and wave regimes in the Baltic Proper, J. Sea Res., 49, 305–316, 2003.
Soomere, T.: Extremes and decadal variations of the northern Baltic Sea wave conditions, in: Extreme Ocean Waves, edited by: Pelinovsky, E. and Kharif, C., Springer, Berlin, 139–157, 2008.
Soomere, T. and Räämet, A.: Long-term spatial variations in the Baltic Sea wave fields, Ocean Sci., 7, 141–150, https://doi.org/10.5194/os-7-141-2011, 2011a.
Soomere, T. and Räämet, A.: Spatial patterns of the wave climate in the Baltic Proper and the Gulf of Finland, Oceanologia, 53, 335–371, 2011b.
Soomere, T., Behrens, A., Tuomi, L., and Nielsen, J. W.: Wave conditions in the Baltic Proper and in the Gulf of Finland during windstorm Gudrun, Nat. Hazards Earth Syst. Sci., 8, 37–46, https://doi.org/10.5194/nhess-8-37-2008, 2008.
Soomere, T., Weisse, R., and Behrens, A.: Wave climate in the Arkona Basin, the Baltic Sea, Ocean Sci., 8, 287–300, https://doi.org/10.5194/os-8-287-2012, 2012.
Sørensen, P., Cutululis, N., Vigueras-Rodriguez, A., Madsen, H., Pinson, P., Jensen, L., Hjerrild, J., and Donovan, M: Modeling of power fluctuations from large offshore wind farms, Wind Energy, 11, 29–43, 2008.
Sousa, P. M., Trigo, R. M., Barriopedro, D., Soares, P. M., Ramos, A. M., and Liberato, M. L.: Responses of European precipitation distributions and regimes to different blocking locations, Clim. Dynam., 48, 1141–1160, 2017.
Spangehl, T., Cubasch, U., Raible, C. C., Schimanke, S., Korper, J., and
Hofer, D.: Transient climate simulations from the Maunder minimum to present
day: role of the stratosphere, J. Geophys. Res., 115, D00110 https://doi.org/10.1029/2009JD012358, 2010.
Spinoni, J., Vogt, J., Naumann, G., Barbosa, P., and Dosio, A.: Will drought events become more frequent and severe in Europe?, Int. J. Climatol., 38, 1718–1736, https://doi.org/10.1002/joc.5291, 2018.
Stahl, K., Hisdal, H., Hannaford, J., Tallaksen, L. M., van Lanen, H. A. J., Sauquet, E., Demuth, S., Fendekova, M., and Jódar, J.: Streamflow trends in Europe: evidence from a dataset of near-natural catchments, Hydrol. Earth Syst. Sci., 14, 2367–2382, https://doi.org/10.5194/hess-14-2367-2010, 2010.
Stahl, K., Tallaksen, L. M., Hannaford, J., and van Lanen, H. A. J.: Filling the white space on maps of European runoff trends: estimates from a multi-model ensemble, Hydrol. Earth Syst. Sci., 16, 2035–2047, https://doi.org/10.5194/hess-16-2035-2012, 2012.
Stendel, M., van den Besselaar, E., Hannachi, A., Kent, E. C., Lefebvre, C.,
Schenk, F., van der Schrier, G., and Woollings, T.: Recent change –
atmosphere, in: North Sea Region Climate Change Assessment: Regional Climate
Studies, edited by: Quante, M. and Colijn, F., Springer, Cham,
https://doi.org/10.1007/978-3-319-39745-0_2, 2016.
Stendel, M., Francis, J., White, R., Williams, P. D., and Woollings, T.: The
jet stream and climate change, in: Climate Change: Observed Impacts on Planet
Earth, 3rd edn., edited by: Letcher, T., Elsevier, 327–357, https://doi.org/10.1016/B978-0-12-821575-3.00015-3,
2021.
Stephenson, D. B., Pavan, V., and Bojariu, R.: Is the North Atlantic
Oscillation a random walk?, Int. J. Climatol., 20, 1–18, 2000.
Stephenson, T. S., Goodess, C. M., Haylock, M. R., Chen, A. A., and Taylor, M. A.: Detecting inhomogeneities in Caribbean and adjacent Caribbean temperature data using sea-surface temperatures, J. Geophys. Res.-Atmos., 113, D21116, https://doi.org/10.1029/2007JD009127, 2008.
Stocks, B. J., Mason, J. A., Todd, J. B., Bosch, E. M., Wotton, B. M., Amiro, B. D., Flannigan, M. D., Hirsch, K. G., Logan, K. A., Martell, D. L., and Skinner, W. R.: Large forest fires in Canada, 1959–1997, J. Geophys. Res., 108, D8149, https://doi.org/10.1029/2001JD000484, 2002.
Stonev̧icius, E., Rimkus, E., Bukantis, A., Kriauciuniene, J., Akstinas, V., Jakimavičius, D., Povilaitis, A., Lozys, L., Kesminas, V., Virbickas, T., and Pliūraitė, V.: Recent aridity trends and future projections in the Nemunas River basin, Clim. Res., 75, 143–154, 2018.
Strong, C. and Magnusdottir, G.: Dependence of NAO variability on coupling with sea ice, Clim. Dynam., 36, 1681–1689, 2011.
Sulisz, W., Paprota, M., and Reda, A.: Extreme waves in the southern Baltic Sea, Cienc. Mar., 42, 123–137, https://doi.org/10.7773/cm.v42i2.2599, 2016.
Sun, L., Perlwitz, J., and Hoerling, M.: What caused the recent “Warm Arctic, Cold Continents” trend pattern in winter temperatures? Geophys. Res. Lett., 43, 5345–5352, https://doi.org/10.1002/2016GL069024, 2016.
Suursaar, Ü., Kullas, T., Otsmann, M., Saaremäe, I., Kuik, J., and Merilain, M.: Cyclone Gudrun in January 2005 and modelling its hydrodynamic consequences in the Estonian coastal waters, Boreal Environ. Res., 11, 143–159, 2006.
Svensson, N., Sahlée, E., Bergström, H., Nilsson, E., Badger, M., and
Rutgersson, A.: A case study of offshore advection of boundary layer rolls
over a stably stratified sea surface, Adv. Meteorol., 2017, 9015891,
https://doi.org/10.1155/2017/9015891, 2017.
SYKE (Finnish Environment Institute): Last summer's fish kill was caused by a
toxic dinoflagellate: emerging algal toxins in coastal Finnish waters [Press
release], available at: https://www.syke.fi/en-US/Current/Press_releases/Last_summers_fish_kill_was_caused_by_a_t(38306) (last access: 1 August 2021), 2016.
SYKE (Finnish Environment Institute): Summary of algal bloom monitoring 2018:
Sweltering summer brought exceptional cyanobacterial surface blooms to sea
areas, in lakes abundant cyanobacterial blooms took place earlier [Press
release], available at: https://www.syke.fi/en-US/Current/Algal_reviews/Summary_reviews/Summary_of_algal_bloom_monitoring_2018_S(47752) (last access: 1 August 2021), 2018.
SYKE (Finnish Environment Institute): Viileässäkin vedessä
viihtyvää sinilevää havaittu Suomenlahdella (Blue-green algae
that can thrive in cool water has been observed in the Gulf of Finland) [Press
release], available at: https://www.syke.fi/fi-FI/Ajankohtaista/Tiedotteet/Viileassakin_vedessa_viihtyvaa_sinilevaa(48957) (last access: 1 August 2021), 2019.
Szwed, M., Karg, G., Pińskwar, I., Radziejewski, M., Graczyk, D., Kȩdziora, A., and Kundzewicz, Z. W.: Climate change and its effect on agriculture, water resources and human health sectors in Poland, Nat. Hazards Earth Syst. Sci., 10, 1725–1737, https://doi.org/10.5194/nhess-10-1725-2010, 2010.
Tamarin, T. and Kaspi, Y.: The poleward shift of storm tracks under global warming: a Lagrangian perspective, Geophys. Res. Lett., 44, 10666–10674, https://doi.org/10.1002/2017GL073633, 2017.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Teuling, A. J.: A hot future for European droughts, Nat. Clim. Change, 8, 364–365, https://doi.org/10.1038/s41558-018-0154-5, 2018.
Thober, S., Kumar, R., Wanders, N., Marx, A., Pan, M., Rakovec, O., Samaniego, L., Sheffield, J., Wood, E. F., and Zink1, M.: Multi-model ensemble projections of European river floods and high flows at 1.5, 2, and 3 degrees global warming, Environ. Res. Lett., 13, https://doi.org/10.1088/1748-9326/aa9e35, 2018.
Thodsen, H., Hasholt, B., and Kjarsgaard, J. H.: The influence of climate change on suspended sediment transport in Danish rivers, Hydrol. Process., 22, 764–774, 2008.
Thorarinsdottir, T. L., Guttorp, P., Drews, M., Kaspersen, P. S., and de Bruin, K.: Sea level adaptation decisions under uncertainty, Water Resour. Res., 53, 8147–8163, 2017.
Thorsteinsson, T.: Climate Change and Energy Systems – Impacts, Risks,
Adaption in the Nordic and Baltic Countries, edited by: Thorsteinsson, T. and
Björnsson, H., Nordic Council of Ministers, Copenhagen, ISBN 978-92-893-2190-7, p. 220, available at:
https://norden.diva-portal.org/smash/get/diva2:701000/FULLTEXT01.pdf, 2011.
Tilinina, N., Gulev, S. K., Rudeva, I., and Koltermann, P.: Comparing cyclone life cycle characteristics and their interannual variability in different reanalyses, J. Climate, 26, 6419–6438, https://doi.org/10.1175/JCLI-D-12-00777.1, 2013.
Tomczyk, A. M. and Bednorz, E.: Heat and cold waves on the southern coast of the Baltic Sea, Baltica, 27, 45–54, https://doi.org/10.5200/baltica.2014.27.05, 2014.
Trewin, B. and Vermont, H.: Changes in the frequency of record temperatures in Australia, 1957–2009, Aust. Meteorol. Ocean., 60, 113–119, 2010.
Trigo, I. F.: Climatology and interannual variability of storm-tracks in the
Euro-Atlantic sector: a comparison between ERA-40 and NCEP/NCAR reanalyses,
Clim. Dynam., 26, 127–143, 2006.
Tuomi, L., Kahma, K. K., and Pettersson, H.: Wave hindcast statistics in the
seasonally ice-covered Baltic Sea, Boreal Environ. Res., 16, 451–472,
2011.
Tuomi, L., Kanarik, H., Björkqvist, J.-V., Marjamaa, R., Vainio, J., Hordoir, R., Höglund, A., and Kahma, K. K.: Impact of ice data quality and treatment on wave hindcast statistics in seasonally ice-covered seas, Front. Earth Sci., 7, 166, https://doi.org/10.3389/feart.2019.00166, 2019.
Twardosz, R., Kossowska-Cezak, U., and Pełech, S.: Extremely cold winter months in Europe (1951–2010), Acta Geophys., 64, 2609–2629, https://doi.org/10.1515/acgeo-2016-0083, 2016.
Uotila, P., Vihma, T., and Haapala, J.: Atmospheric and oceanic conditions and the extremely mild Baltic Sea ice winter 2014/15, Geophys. Res. Lett., 42, 7740–7749, https://doi.org/10.1002/2015GL064901, 2015.
Vajda, A., Tuomenvirta, H., Juga, I., Nurmi, P., Jokinen, P., and Rauhala, J.: Severe weather affecting European transport systems: the identification, classification and frequencies of events, Nat. Hazards, 72, 169–188, https://doi.org/10.1007/s11069-013-0895-4, 2014.
Valiukas, D.: Sausringi laikotarpiai Vilniuje 1891–2010 m (Dry
periods in 1891–2010 in Vilnius), Geography, 47, 9–18, 2011 (in Lithuanian with English summary).
Valiuškevičius, G., Stonevicius, E., Stankunavicius, G., and
Brastovickytė-Stankevič, J.: Severe floods in Nemunas River delta,
Baltica, 31, 89–99, https://doi.org/10.5200/baltica.2018.31.09, 2018.
van den Hurk, B., Kim, H., Krinner, G., Seneviratne, S. I., Derksen, C., Oki, T., Douville, H., Colin, J., Ducharne, A., Cheruy, F., Viovy, N., Puma, M. J.,
Wada, Y., Li, W., Jia, B., Alessandri, A., Lawrence, D. M., Weedon, G. P.,
Ellis, R., Hagemann, S., Mao, J., Flanner, M. G., Zampieri, M., Materia, S.,
Law, R. M., and Sheffield, J.: LS3MIP (v1.0) contribution to CMIP6: the Land
Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome, Geosci. Model Dev., 9, 2809–2832, https://doi.org/10.5194/gmd-9-2809-2016, 2016.
van der Linden, E. C., Haarsma, R. J., and van der Schrier, G.: Impact of climate model resolution on soil moisture projections in central-western Europe, Hydrol. Earth Syst. Sci., 23, 191–206, https://doi.org/10.5194/hess-23-191-2019, 2019.
van Haren, R., Haarsma. R. J., de Vries, H., van Oldenborgh, G. J., and Hazeleger, W.: Resolution dependence of circulation forced future central European summer drying, Environ. Res. Lett., 10, 55002, https://doi.org/10.1088/1748-9326/10/5/055002, 2015.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T., Meinshausen, M., Nakićenović, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Climatic Change, 109, 5, https://doi.org/10.1007/s10584-011-0148-z, 2011.
Velashjerdi Farahani, A., Jokisalo, J., Korhonen, N., Jylhä, K., Ruosteenoja, K., and Kosonen, R.: Overheating risk and energy demand of Nordic old and new apartment buildings during average and extreme weather conditions under a changing climate, Appl. Sci. 11, 3972, https://doi.org/10.3390/app11093972, 2021.
Vautard, R., Cattiaux, J., Yiou, P., Thépaut, J.-N., and Ciais, P.: Northern hemisphere atmospheric stilling partly attributed to an increase in surface roughness, Nat. Geosci., 3, 756–761, 2010.
Vautard, R., Gobiet, A., Sobolowski, S., Kjellström, E., Stegehuis, A., Watkiss, P., Mendlik. T., Landgren, O., Nikulin, G., Teichmann, C., and Jacob, D.: The European climate under a 2 ∘C global warming, Environ. Res. Lett., 9, 034006, https://doi.org/10.1088/1748-9326/9/3/034006, 2014.
Veijalainen, N., Lotsari, E., Alho, P., Vehvilainen, B., and
Kayhko, J.: National scale assessment of climate change impacts on flooding in
Finland, J. Hydrol., 391, 333–350, 2010.
Veijalainen, N., Ahopelto, L.,Marttunen, M., Jääskeläinen, J., Britschgi, R., Orvomaa, M., Belinskij, A., and Keskinen, M.: Severe drought in Finland: modeling effects on water resources and assessing climate change impacts, Sustainability, 11, 2450, https://doi.org/10.3390/su11082450, 2019.
Veraverbeke, S., Rogers, B. M., Goulden, M. L., Jandt, R. R., Miller, C. E., Wiggins, E. B., and Randerson, J. T.: Lightning as a major driver of recent large fire years in North American boreal forests, Nat. Clim. Change, 7, 529–534, 2017.
Vihma, T.: Weather extremes linked to interaction of the Arctic and midlatitudes, Clim. Extremes, 226, 39–50, 2017.
Vihma, T. and Haapala, J.: Geophysics of sea ice in the Baltic
Sea: A review, Prog. Oceanogr., 80, 129–148, 2009.
Vihma, T., Graversen, R., Chen, L., Handorf, D., Skific, N., Francis, J. A., Tyrrell, N., Hall, R., Hanna, E., Uotila, P., Dethloff, K., Karpechko, A. Y., Björnsson, H., and Overland, J. E.: Effects of the tropospheric large-scale circulation on European winter temperatures during the period of amplified Arctic warming, Int. J. Climatol., 40, 509– 529, https://doi.org/10.1002/joc.6225, 2020.
Viitasalo, M. and Bonsdorff, E.: Global climate change and the Baltic Sea ecosystem: direct and indirect effects on species, communities and ecosystem functioning, Earth Syst. Dynam. Discuss. [preprint], https://doi.org/10.5194/esd-2021-73, in review, 2021.
Vinogradova, A. A., Smirnov, N. S., and Korotkov, V. N.: Anomalous wildfires in 2010 and 2012 on the territory of Russia and supply of black carbon to the Arctic, Atmospheric and Oceanic Optics, 29, 545–550, 2016.
Virkkala, R. and Toivonen, H.: Maintaining Biological Diversity in Finnish Forests, Finnish Environment Institute, Helsinki, 56 pp., 1999.
Vivchar, A.: Wildfires in Russia in 2000–2008: estimates of burnt areas using the satellite MODIS MCD45 data, Remote Sens. Lett., 2, 81–90, 2011.
Volchek, A., Korneyev, V., Parfomuk, S., and Bulak, I.: Water Resources and Their Forecast According to the Climate Change in the Territory of Belarus, Alternativa, Brest, 228 pp., 2017.
Vousdoukas, M. I., Voukouvalas, E., Annunziato, A., Giardino, A., and Feyen, L.: Projections of extreme storm surge levels along Europe, Clim. Dynam., 47, 3171–3190, https://doi.org/10.1007/s00382-016-3019-5, 2016.
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Verlaan, M., and Feyen, L.: Extreme sea levels on the rise along Europe's coasts, Earths Future, 5, 304–323, https://doi.org/10.1002/2016EF000505, 2017.
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., Bianchi, A., Dottori, F., and Feyen, L.: Climatic and socioeconomic controls of future coastal flood risk in Europe, Nat. Clim. Change, 8, 776–780, 2018.
Vousdoukas, M. I., Mentaschi, L., Voukouvalas, E., and Feyen, L.: PESETA III – Task 8: Coastal Impacts, EUR 28243 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-79-63951-7, https://doi.org/10.2788/204754, JRC103909, 2019.
Vousdoukas, M. I., Mentaschi, L., Hinkel, J., Ward, P. J., Mongelli, I., Ciscar J.-C., and Feyen, L.: Economic motivation for raising coastal flood defenses in Europe, Nat. Commun., 11, 2119, https://doi.org/10.1038/s41467-020-15665-3, 2020.
Wallenius, T.: Major decline in fires in coniferous forests – reconstructing the phenomenon and seeking for the cause, Silva Fenn., 45, 139–155, 2011.
Walker, X. J., Baltzer, J. L., Cumming, S. G., Day, N. J., Ebert, C., Goetz, S., Johnstone, J. F., Potter, S., Rogers, B. M., Schuur, E. A. G., Turetsky, M. R., and Mack, M. C.: Increasing wildfires threaten historic carbon sink of boreal forest soils, Nature, 572, 520–523, 2019.
Walther, A., Jeong, J.-H., Nikulin, G., Jones, C., and Chen, D.: Evaluation of the warm season diurnal cycle of precipitation over Sweden simulated by the Rossby Centre regional climate model RCA3, Atmos. Res., 119, 131–139, https://doi.org/10.1016/j.atmosres.2011.10.012, 2013.
Wang, J., Kim, H. M., and Chang, E. K. M.: Changes in northern hemisphere winter storm tracks under the background of Arctic amplification, J. Climate, 30, 3705–3724, https://doi.org/10.1175/JCLI-D-16-0650.1, 2017.
Wang, X. L., Feng, Y., Chan, R., and Isaac, V.: Inter-comparison of extra-tropical cyclone activity in nine reanalysis datasets, Atmos. Res., 181, 133–153, https://doi.org/10.1016/j.atmosres.2016.06.010, 2016.
Wanner, H., Brönnimann, S., Casty, C., Gyalistras, D., Luterbacher, J., Schmutz, C., Stephenson, D. B., and Xoplaki, E.: North Atlantic Oscillation: concepts and studies, Surv. Geophys., 22, 321–381, 2001.
Wasmund, N.: Occurrence of cyanobacterial blooms in the Baltic Sea in relation to environmental conditions, Int. Rev. Ges. Hydrobio., 82, 169–184, 1997.
Wasmund, N.: Harmful algal blooms in coastal waters of the south-eastern Baltic Sea, in: Baltic Coastal Ecosystems, edited by: Schernewski, G. and Schiewer, U., Springer, Berlin, Heidelberg, New York, 93–116, 2002.
Wasmund, N., Nausch, G., and Voss, M.: Upwelling events may cause cyanobacteria blooms in the Baltic Sea, J. Marine Syst., 90, 67–76, 2012.
Wasmund, N., Nausch, G., and Feistel, R.: Silicate consumption: an indicator for long term trends in spring diatom development in the Baltic Sea, J. Plankton Res., 35, 393–406, https://doi.org/10.1093/plankt/fbs101, 2013.
Wasmund, N., Kownacka, J., Göbel, J., Jaanus, A., Johansen, M.,
Jurgensone, I., Lehtinen, S., and Powilleit, M.: The diatom/dinoflagellate index as an indicator of ecosystem changes in the Baltic Sea. 1. Principle and handling instruction, Frontiers in Marine Science, 4, 1–13, https://doi.org/10.3389/fmars.2017.00022, 2017.
Wasmund, N., Nausch, G., Gerth, M., Busch, S., Burmeister, C., Hansen, R., and Sadkowiak, B.: Extension of the growing season of phytoplankton in the western Baltic Sea in response to climate change, Mar. Ecol. Prog. Ser., 622, 1–16, 2019.
Weisse, R., Dailidienė, I., Hünicke, B., Kahma, K., Madsen, K., Omstedt, A., Parnell, K., Schöne, T., Soomere, T., Zhang, W., and Zorita, E.: Sea level dynamics and coastal erosion in the Baltic Sea region, Earth Syst. Dynam., 12, 871–898, https://doi.org/10.5194/esd-12-871-2021, 2021.
Weyant, J., Azar, C., Kainuma, M., Kejun, J., Nakicenovic, N., Shukla, P. R., La Rovere, E., and Yohe, G.: Report of 2.6 Versus 2.9 Watts/m2RCPP Evaluation Panel (PDF), IPCC Secretariat, Geneva, Switzerland, 2009.
Whan, K., Zscheischler, J., Orth, R., Shongwe, M., Rahimi, M., Asare, E. O., and Seneviratne, S. I.: Impact of soil moisture on extreme maximum temperatures in Europe, Weather and Climate Extremes, 9, 57–67, https://doi.org/10.1016/j.wace.2015.05.001, 2015.
Wilcke, R. A. I., Kjellström, E., Lin, C., Matei, D., Moberg, A., and Tyrlis, E.: The extremely warm summer of 2018 in Sweden – set in a historical context, Earth Syst. Dynam., 11, 1107–1121, https://doi.org/10.5194/esd-11-1107-2020, 2020.
Willison, J., Robinson, W. A., and Lackmann, G. M.: North Atlantic storm-track sensitivity to warming increases with model resolution, J. Climate, 2, 4513–4524, https://doi.org/10.1175/JCLI-D-14-00715.1, 2015.
Wilson, D., Hisdal, H., and Lawrence, D.: Has streamflow changed in the Nordic countries? Recent trends and comparisons to hydrological projections, J. Hydrol., 394, 334–346, 2010.
Witte, J. C., Douglass, A. R., da Silva, A., Torres, O., Levy, R., and Duncan, B. N.: NASA A-Train and Terra observations of the 2010 Russian wildfires, Atmos. Chem. Phys., 11, 9287–9301, https://doi.org/10.5194/acp-11-9287-2011, 2011.
Wolski, T., Wiśniewski, B., Giza, A., Kowalewska-Kalkowska, H., Boman, H., Grabbi-Kaiv, S., Hammarklint, T., Holfort, J., and Lydeikaitė, Z.: Extreme sea levels at selected stations on the Baltic Sea coast, Oceanologia, 56, 259–290, https://doi.org/10.5697/oc.56-2.259, 2014.
Woodruff, S. D., Worley, S. J., Lubker, S. J., Ji, Z., Freeman, J. E.,
Berry, D. I., Brohan, P., Kent, E. C., Reynolds, R. W., Smith, S. R., and Wilkinson, C.: ICOADS Release 2.5 and data characteristics, Int. J. Climatol., 31, 951–967, 2011.
Woollings, T., Barriopedro, D., Methven, J., Son, S. W., Martius, O., Harvey, B., Sillmann, J., Lupo, A. R., and Seneviratne, S.: Blocking and its response to climate change, Current Climate Change Reports, 4, 287–300, https://doi.org/10.1007/s40641-018-0108-z, 2018.
Wotton, B. M., Nock, C. A., and Flannigan, M. D.: Forest fire occurrence and climate change in Canada, Int. J. Wildland Fire, 19, 253–271, 2010.
Wright, D. M., Posselt, D. J., and Steiner, A. L.: Sensitivity of lake-effect snowfall to lake ice cover and temperature in the Great Lakes Region, Mon. Weather Rev., 141, 670–689, https://doi.org/10.1175/MWR-D-12-00038.1, 2013.
Xia, L., Zahn, M., Hodges, K. I., and Feser, F.: A comparison of two identification and tracking methods for polar lows, Tellus A, 64, 17196, https://doi.org/10.3402/tellusa.v64i0.17196, 2012.
Yang, W., Andreasson, J., Graham, L. P., Olsson, J., Rosberg, J., and Wetterhall, F.: Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies, Hydrol. Res., 41, 211–229, 2010.
Yang, W., Gardelin, M., Olsson, J., and Bosshard, T.: Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden, Nat. Hazards Earth Syst. Sci., 15, 2037–2057, https://doi.org/10.5194/nhess-15-2037-2015, 2015.
Yu, P., Toon, O. B., Bardeen, C. G., Zhu, Y., Rosenlof, K. H., Portmann, R. W., Thornberry, T. D., Gao, R.-S., Davis, S. M., Wolf, E. T., de Gouw, J., Peterson, D. A., Fromm, M. D., and Robock, A.: Black carbon lofts wildfire smoke high into the stratosphere to form a persistent plume, Science, 365, 587–590, 2019.
Zackrisson, O.: Influence of forest fires on the north Swedish boreal forest, Oikos, 29, 22–32, 1977.
Zaitseva-Pärnaste, I. amd Soomere, T.: Interannual variations of ice cover and wave energy flux in the northeastern Baltic Sea, Ann. Glaciol., 54, 175–182, https://doi.org/10.3189/2013AoG62A228, 2013.
Zappa, G. and Shepherd, T. G.: Storylines of atmospheric circulation change for European regional climate impact assessment, J. Climate, 30, 6561–6577, https://doi.org/10.1175/JCLI-D-16-0807.1, 2017.
Zappa, G., Shaffrey, L. C., and Hodges, K. I.: The ability of CMIP5 models to simulate North Atlantic extratropical cyclones, J. Climate, 26, 5379–5396, https://doi.org/10.1175/JCLI-D-12-00501.1, 2013.
Zappa, G., Masato, G., Shaffrey, L., Woollings, T., and Hodges, K.: Linking northern hemisphere blocking and storm track biases in the CMIP5 climate models, Geophys. Res. Lett., 41, 135–139, https://doi.org/10.1002/2013GL058480, 2014.
Zappa, G., Pithan, F., and Shepherd, T. G.: Multimodel evidence for an atmospheric circulation response to Arctic sea ice loss in the CMIP5 future projections, Geophys. Res. Lett., 45, 1011–1019, https://doi.org/10.1002/2017GL076096, 2018.
Zorita, E., Stocker, T. F., and von Storch, H.: How unusual is the recent series of warm years? Geophys. Res. Lett., 35, L24706, https://doi.org/10.1029/2008GL036228, 2008.
Zscheischler, J., Westra, S., Van Den Hurk, B. J. J. M., Seneviratne, S. I., Ward, P. J., Pitman, A., AghaKouchak, A., Bresch, D. N., Leonard, M., Wahl, T., and Zhang, X: Future climate risk from compound events, Nat. Clim. Change, 8, 469–477, https://doi.org/10.1038/s41558-018-0156-3, 2018.
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A natural hazard is a naturally occurring extreme event with a negative effect on people, society, or the environment; major events in the study area include wind storms, extreme waves, high and low sea level, ice ridging, heavy precipitation, sea-effect snowfall, river floods, heat waves, ice seasons, and drought. In the future, an increase in sea level, extreme precipitation, heat waves, and phytoplankton blooms is expected, and a decrease in cold spells and severe ice winters is anticipated.
A natural hazard is a naturally occurring extreme event with a negative effect on people,...
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