Articles | Volume 12, issue 1
https://doi.org/10.5194/esd-12-133-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-12-133-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
04 Feb 2021
Research article | Highlight paper |
| 04 Feb 2021
| 04 Feb 2021
A new view of heat wave dynamics and predictability over the eastern Mediterranean
Department of Tropospheric Research, Institute of Meteorology and
Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Sebastian Scher
Department of Meteorology and Bolin Centre for Climate Research,
Stockholm University, Stockholm, Sweden
Julian Quinting
Department of Tropospheric Research, Institute of Meteorology and
Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Joaquim G. Pinto
Department of Tropospheric Research, Institute of Meteorology and
Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Gabriele Messori
Department of Meteorology and Bolin Centre for Climate Research,
Stockholm University, Stockholm, Sweden
Department of Earth Sciences and Centre of Natural Hazards and
Disaster Science (CNDS), Uppsala University, Uppsala, Sweden
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Julia Moemken, Inovasita Alifdini, Alexandre M. Ramos, Alexandros Georgiadis, Aidan Brocklehurst, Lukas Braun, and Joaquim G. Pinto
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Clare Marie Flynn, Julia Moemken, Joaquim G. Pinto, and Gabriele Messori
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-298, https://doi.org/10.5194/essd-2024-298, 2024
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We created a new, publicly available database of the Top 50 most extreme European winter windstorms from each of four different meteorological input data sets covering the years 1995–2015. We found variability in all aspects of our database, from which storms were included in the Top 50 storms for each input to their spatial variability. We urge users of our database to consider the storms as identified from two or more input sources within our database, where possible.
Selina M. Kiefer, Patrick Ludwig, Sebastian Lerch, Peter Knippertz, and Joaquim G. Pinto
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Preprint withdrawn
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Gabriele Messori, Antonio Segalini, and Alexandre M. Ramos
Earth Syst. Dynam., 15, 1207–1225, https://doi.org/10.5194/esd-15-1207-2024, https://doi.org/10.5194/esd-15-1207-2024, 2024
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Andrea L. Campoverde, Uwe Ehret, Patrick Ludwig, and Joaquim G. Pinto
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Nat. Hazards Earth Syst. Sci., 24, 2689–2704, https://doi.org/10.5194/nhess-24-2689-2024, https://doi.org/10.5194/nhess-24-2689-2024, 2024
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Antonio Segalini, Jacopo Riboldi, Volkmar Wirth, and Gabriele Messori
Weather Clim. Dynam., 5, 997–1012, https://doi.org/10.5194/wcd-5-997-2024, https://doi.org/10.5194/wcd-5-997-2024, 2024
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Weather Clim. Dynam., 5, 959–983, https://doi.org/10.5194/wcd-5-959-2024, https://doi.org/10.5194/wcd-5-959-2024, 2024
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We introduce ClimaMeter, a tool offering real-time insights into extreme-weather events. Our tool unveils how climate change and natural variability affect these events, affecting communities worldwide. Our research equips policymakers and the public with essential knowledge, fostering informed decisions and enhancing climate resilience. We analysed two distinct events, showcasing ClimaMeter's global relevance.
Aleksa Stanković, Gabriele Messori, Joaquim G. Pinto, and Rodrigo Caballero
Weather Clim. Dynam., 5, 821–837, https://doi.org/10.5194/wcd-5-821-2024, https://doi.org/10.5194/wcd-5-821-2024, 2024
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The article studies extreme winds near the surface over the North Atlantic Ocean. These winds are caused by storms that pass through this region. The strongest storms that have occurred in the winters from 1950–2020 are studied in detail and compared to weaker but still strong storms. The analysis shows that the storms associated with the strongest winds are preceded by another older storm that travelled through the same region and made the conditions suitable for development of extreme winds.
Derrick Muheki, Axel A. J. Deijns, Emanuele Bevacqua, Gabriele Messori, Jakob Zscheischler, and Wim Thiery
Earth Syst. Dynam., 15, 429–466, https://doi.org/10.5194/esd-15-429-2024, https://doi.org/10.5194/esd-15-429-2024, 2024
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Climate change affects the interaction, dependence, and joint occurrence of climate extremes. Here we investigate the joint occurrence of pairs of river floods, droughts, heatwaves, crop failures, wildfires, and tropical cyclones in East Africa under past and future climate conditions. Our results show that, across all future warming scenarios, the frequency and spatial extent of these co-occurring extremes will increase in this region, particularly in areas close to the Nile and Congo rivers.
Leonardo Olivetti and Gabriele Messori
Geosci. Model Dev., 17, 2347–2358, https://doi.org/10.5194/gmd-17-2347-2024, https://doi.org/10.5194/gmd-17-2347-2024, 2024
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In the last decades, weather forecasting up to 15 d into the future has been dominated by physics-based numerical models. Recently, deep learning models have challenged this paradigm. However, the latter models may struggle when forecasting weather extremes. In this article, we argue for deep learning models specifically designed to handle extreme events, and we propose a foundational framework to develop such models.
Marcus Breil, Vanessa K. M. Schneider, and Joaquim G. Pinto
Biogeosciences, 21, 811–824, https://doi.org/10.5194/bg-21-811-2024, https://doi.org/10.5194/bg-21-811-2024, 2024
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The general impact of afforestation on the regional climate conditions in Europe during the period 1986–2015 is investigated. For this purpose, a regional climate model simulation is performed, in which afforestation during this period is considered, and results are compared to a simulation in which this is not the case. Results show that afforestation had discernible impacts on the climate change signal in Europe, which may have mitigated the local warming trend, especially in summer in Europe.
Julian F. Quinting, Christian M. Grams, Edmund Kar-Man Chang, Stephan Pfahl, and Heini Wernli
Weather Clim. Dynam., 5, 65–85, https://doi.org/10.5194/wcd-5-65-2024, https://doi.org/10.5194/wcd-5-65-2024, 2024
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Research in the last few decades has revealed that rapidly ascending airstreams in extratropical cyclones have an important effect on the evolution of downstream weather and predictability. In this study, we show that the occurrence of these airstreams over the North Pacific is modulated by tropical convection. Depending on the modulation, known atmospheric circulation patterns evolve quite differently, which may affect extended-range predictions in the Atlantic–European region.
Sina Loriani, Yevgeny Aksenov, David Armstrong McKay, Govindasamy Bala, Andreas Born, Cristiano M. Chiessi, Henk Dijkstra, Jonathan F. Donges, Sybren Drijfhout, Matthew H. England, Alexey V. Fedorov, Laura Jackson, Kai Kornhuber, Gabriele Messori, Francesco Pausata, Stefanie Rynders, Jean-Baptiste Salée, Bablu Sinha, Steven Sherwood, Didier Swingedouw, and Thejna Tharammal
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In this work, we draw on paleoreords, observations and modelling studies to review tipping points in the ocean overturning circulations, monsoon systems and global atmospheric circulations. We find indications for tipping in the ocean overturning circulations and the West African monsoon, with potentially severe impacts on the Earth system and humans. Tipping in the other considered systems is considered conceivable but currently not sufficiently supported by evidence.
Lea Eisenstein, Benedikt Schulz, Joaquim G. Pinto, and Peter Knippertz
Weather Clim. Dynam., 4, 981–999, https://doi.org/10.5194/wcd-4-981-2023, https://doi.org/10.5194/wcd-4-981-2023, 2023
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Mesoscale high-wind features within extratropical cyclones can cause immense damage. In Part 1 of this work, we introduced RAMEFI (RAndom-forest-based MEsoscale wind Feature Identification), an objective, flexible identification tool for these wind features based on a probabilistic random forest. Here, we use RAMEFI to compile a climatology of the features over 19 extended winter seasons over western and central Europe, focusing on relative occurrence, affected areas and further characteristics.
Marie Hundhausen, Hendrik Feldmann, Natalie Laube, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 23, 2873–2893, https://doi.org/10.5194/nhess-23-2873-2023, https://doi.org/10.5194/nhess-23-2873-2023, 2023
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Using a convection-permitting regional climate ensemble, the magnitude of heat waves (HWs) over Germany is projected to increase by 26 % (100 %) in a 2 °C (3 °C) warmer world. The increase is strongest in late summer, relatively homogeneous in space, and accompanied by increasing variance in HW length. Tailored parameters to climate adaptation to heat revealed dependency on major landscapes, and a nonlinear, exponential increase for parameters characterizing strong heat stress is expected.
Emma Holmberg, Gabriele Messori, Rodrigo Caballero, and Davide Faranda
Earth Syst. Dynam., 14, 737–765, https://doi.org/10.5194/esd-14-737-2023, https://doi.org/10.5194/esd-14-737-2023, 2023
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We analyse the duration of large-scale patterns of air movement in the atmosphere, referred to as persistence, and whether unusually persistent patterns favour warm-temperature extremes in Europe. We see no clear relationship between summertime heatwaves and unusually persistent patterns. This suggests that heatwaves do not necessarily require the continued flow of warm air over a region and that local effects could be important for their occurrence.
Alberto Caldas-Alvarez, Hendrik Feldmann, Etor Lucio-Eceiza, and Joaquim G. Pinto
Weather Clim. Dynam., 4, 543–565, https://doi.org/10.5194/wcd-4-543-2023, https://doi.org/10.5194/wcd-4-543-2023, 2023
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We evaluate convection-permitting modelling (CPM) simulations for the greater Alpine area to assess its added value compared to a 25 km resolution. A new method for severe precipitation detection is used, and the associated synoptic weather types are considered. Our results document the added value of CPM for precipitation representation with higher intensities, better rank correlation, better hit rates, and an improved amount and structure, but with an overestimation of the rates.
Marcus Breil, Annabell Weber, and Joaquim G. Pinto
Biogeosciences, 20, 2237–2250, https://doi.org/10.5194/bg-20-2237-2023, https://doi.org/10.5194/bg-20-2237-2023, 2023
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A promising strategy for mitigating burdens of heat extremes in Europe is to replace dark coniferous forests with brighter deciduous forests. The consequence of this would be reduced absorption of solar radiation, which should reduce the intensities of heat periods. In this study, we show that deciduous forests have a certain cooling effect on heat period intensities in Europe. However, the magnitude of the temperature reduction is quite small.
Daniel Gliksman, Paul Averbeck, Nico Becker, Barry Gardiner, Valeri Goldberg, Jens Grieger, Dörthe Handorf, Karsten Haustein, Alexia Karwat, Florian Knutzen, Hilke S. Lentink, Rike Lorenz, Deborah Niermann, Joaquim G. Pinto, Ronald Queck, Astrid Ziemann, and Christian L. E. Franzke
Nat. Hazards Earth Syst. Sci., 23, 2171–2201, https://doi.org/10.5194/nhess-23-2171-2023, https://doi.org/10.5194/nhess-23-2171-2023, 2023
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Wind and storms are a major natural hazard and can cause severe economic damage and cost human lives. Hence, it is important to gauge the potential impact of using indices, which potentially enable us to estimate likely impacts of storms or other wind events. Here, we review basic aspects of wind and storm generation and provide an extensive overview of wind impacts and available indices. This is also important to better prepare for future climate change and corresponding changes to winds.
Axel Seifert, Vanessa Bachmann, Florian Filipitsch, Jochen Förstner, Christian M. Grams, Gholam Ali Hoshyaripour, Julian Quinting, Anika Rohde, Heike Vogel, Annette Wagner, and Bernhard Vogel
Atmos. Chem. Phys., 23, 6409–6430, https://doi.org/10.5194/acp-23-6409-2023, https://doi.org/10.5194/acp-23-6409-2023, 2023
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We investigate how mineral dust can lead to the formation of cirrus clouds. Dusty cirrus clouds lead to a reduction in solar radiation at the surface and, hence, a reduced photovoltaic power generation. Current weather prediction systems are not able to predict this interaction between mineral dust and cirrus clouds. We have developed a new physical description of the formation of dusty cirrus clouds. Overall we can show a considerable improvement in the forecast quality of clouds and radiation.
Efi Rousi, Andreas H. Fink, Lauren S. Andersen, Florian N. Becker, Goratz Beobide-Arsuaga, Marcus Breil, Giacomo Cozzi, Jens Heinke, Lisa Jach, Deborah Niermann, Dragan Petrovic, Andy Richling, Johannes Riebold, Stella Steidl, Laura Suarez-Gutierrez, Jordis S. Tradowsky, Dim Coumou, André Düsterhus, Florian Ellsäßer, Georgios Fragkoulidis, Daniel Gliksman, Dörthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, and Elena Xoplaki
Nat. Hazards Earth Syst. Sci., 23, 1699–1718, https://doi.org/10.5194/nhess-23-1699-2023, https://doi.org/10.5194/nhess-23-1699-2023, 2023
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The objective of this study was to perform a comprehensive, multi-faceted analysis of the 2018 extreme summer in terms of heat and drought in central and northern Europe, with a particular focus on Germany. A combination of favorable large-scale conditions and locally dry soils were related with the intensity and persistence of the events. We also showed that such extremes have become more likely due to anthropogenic climate change and might occur almost every year under +2 °C of global warming.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Marcus Breil, Felix Krawczyk, and Joaquim G. Pinto
Earth Syst. Dynam., 14, 243–253, https://doi.org/10.5194/esd-14-243-2023, https://doi.org/10.5194/esd-14-243-2023, 2023
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We provide evidence that biogeophysical effects of afforestation can counteract the favorable biogeochemical climate effect of reduced CO2 concentrations. By changing the land surface characteristics, afforestation reduces vegetation surface temperatures, resulting in a reduced outgoing longwave radiation in summer, although CO2 concentrations are reduced. Since forests additionally absorb a lot of solar radiation due to their dark surfaces, afforestation has a total warming effect.
Axel Kleidon, Gabriele Messori, Somnath Baidya Roy, Ira Didenkulova, and Ning Zeng
Earth Syst. Dynam., 14, 241–242, https://doi.org/10.5194/esd-14-241-2023, https://doi.org/10.5194/esd-14-241-2023, 2023
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
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The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Patrick Johannes Stoll, Rune Grand Graversen, and Gabriele Messori
Weather Clim. Dynam., 4, 1–17, https://doi.org/10.5194/wcd-4-1-2023, https://doi.org/10.5194/wcd-4-1-2023, 2023
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The atmosphere is in motion and hereby transporting warm, cold, moist, and dry air to different climate zones. In this study, we investigate how this transport of energy organises in different manners. Outside the tropics, atmospheric waves of sizes between 2000 and 8000 km, which we perceive as cyclones from the surface, transport most of the energy and moisture poleward. In the winter, large-scale weather situations become very important for transporting energy into the polar regions.
Davide Faranda, Stella Bourdin, Mireia Ginesta, Meriem Krouma, Robin Noyelle, Flavio Pons, Pascal Yiou, and Gabriele Messori
Weather Clim. Dynam., 3, 1311–1340, https://doi.org/10.5194/wcd-3-1311-2022, https://doi.org/10.5194/wcd-3-1311-2022, 2022
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We analyze the atmospheric circulation leading to impactful extreme events for the calendar year 2021 such as the Storm Filomena, Westphalia floods, Hurricane Ida and Medicane Apollo. For some of the events, we find that climate change has contributed to their occurrence or enhanced their intensity; for other events, we find that they are unprecedented. Our approach underscores the importance of considering changes in the atmospheric circulation when performing attribution studies.
Gabriele Messori, Marlene Kretschmer, Simon H. Lee, and Vivien Wendt
Weather Clim. Dynam., 3, 1215–1236, https://doi.org/10.5194/wcd-3-1215-2022, https://doi.org/10.5194/wcd-3-1215-2022, 2022
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Over 10 km above the ground, there is a region of the atmosphere called the stratosphere. While there is very little air in the stratosphere itself, its interactions with the lower parts of the atmosphere – where we live – can affect the weather. Here we study a specific example of such an interaction, whereby processes occurring at the boundary of the stratosphere can lead to a continent-wide drop in temperatures in North America during winter.
Lea Eisenstein, Benedikt Schulz, Ghulam A. Qadir, Joaquim G. Pinto, and Peter Knippertz
Weather Clim. Dynam., 3, 1157–1182, https://doi.org/10.5194/wcd-3-1157-2022, https://doi.org/10.5194/wcd-3-1157-2022, 2022
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Mesoscale high-wind features within extratropical cyclones can cause immense damage. Here, we present RAMEFI, a novel approach to objectively identify the wind features based on a probabilistic random forest. RAMEFI enables a wide range of applications such as probabilistic predictions for the occurrence or a multi-decadal climatology of these features, which will be the focus of Part 2 of the study, with the goal of improving wind and, specifically, wind gust forecasts in the long run.
Valerio Lembo, Federico Fabiano, Vera Melinda Galfi, Rune Grand Graversen, Valerio Lucarini, and Gabriele Messori
Weather Clim. Dynam., 3, 1037–1062, https://doi.org/10.5194/wcd-3-1037-2022, https://doi.org/10.5194/wcd-3-1037-2022, 2022
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Eddies in mid-latitudes characterize the exchange of heat between the tropics and the poles. This exchange is largely uneven, with a few extreme events bearing most of the heat transported across latitudes in a season. It is thus important to understand what the dynamical mechanisms are behind these events. Here, we identify recurrent weather regime patterns associated with extreme transports, and we identify scales of mid-latitudinal eddies that are mostly responsible for the transport.
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.
Lisa-Ann Kautz, Olivia Martius, Stephan Pfahl, Joaquim G. Pinto, Alexandre M. Ramos, Pedro M. Sousa, and Tim Woollings
Weather Clim. Dynam., 3, 305–336, https://doi.org/10.5194/wcd-3-305-2022, https://doi.org/10.5194/wcd-3-305-2022, 2022
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Atmospheric blocking is associated with stationary, self-sustaining and long-lasting high-pressure systems. They can cause or at least influence surface weather extremes, such as heat waves, cold spells, heavy precipitation events, droughts or wind extremes. The location of the blocking determines where and what type of extreme event will occur. These relationships are also important for weather prediction and may change due to global warming.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
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To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 22, 677–692, https://doi.org/10.5194/nhess-22-677-2022, https://doi.org/10.5194/nhess-22-677-2022, 2022
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For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
Julian F. Quinting and Christian M. Grams
Geosci. Model Dev., 15, 715–730, https://doi.org/10.5194/gmd-15-715-2022, https://doi.org/10.5194/gmd-15-715-2022, 2022
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Physical processes in weather systems importantly affect the midlatitude large-scale circulation. This study introduces an artificial-intelligence-based framework which allows the identification of an important weather system – the so-called warm conveyor belt (WCB) – at comparably low computational costs and from data at low spatial and temporal resolution. The framework thus newly enables the systematic investigation of WCBs in large data sets such as climate model projections.
Julian F. Quinting, Christian M. Grams, Annika Oertel, and Moritz Pickl
Geosci. Model Dev., 15, 731–744, https://doi.org/10.5194/gmd-15-731-2022, https://doi.org/10.5194/gmd-15-731-2022, 2022
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This study applies novel artificial-intelligence-based models that allow the identification of one specific weather system which affects the midlatitude circulation. We show that the models yield similar results as their trajectory-based counterpart, which requires data at higher spatiotemporal resolution and is computationally more expensive. Overall, we aim to show how deep learning methods can be used efficiently to support process understanding of biases in weather prediction models.
Kim H. Stadelmaier, Patrick Ludwig, Pascal Bertran, Pierre Antoine, Xiaoxu Shi, Gerrit Lohmann, and Joaquim G. Pinto
Clim. Past, 17, 2559–2576, https://doi.org/10.5194/cp-17-2559-2021, https://doi.org/10.5194/cp-17-2559-2021, 2021
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We use regional climate simulations for the Last Glacial Maximum to reconstruct permafrost and to identify areas of thermal contraction cracking of the ground in western Europe. We find ground cracking, a precondition for the development of permafrost proxies, south of the probable permafrost border, implying that permafrost was not the limiting factor for proxy development. A good agreement with permafrost and climate proxy data is achieved when easterly winds are modelled more frequently.
Francesco S. R. Pausata, Gabriele Messori, Jayoung Yun, Chetankumar A. Jalihal, Massimo A. Bollasina, and Thomas M. Marchitto
Clim. Past, 17, 1243–1271, https://doi.org/10.5194/cp-17-1243-2021, https://doi.org/10.5194/cp-17-1243-2021, 2021
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Far-afield changes in vegetation such as those that occurred over the Sahara during the middle Holocene and the consequent changes in dust emissions can affect the intensity of the South Asian Monsoon (SAM) rainfall and the lengthening of the monsoon season. This remote influence is mediated by anomalies in Indian Ocean sea surface temperatures and may have shaped the evolution of the SAM during the termination of the African Humid Period.
Sebastian Scher and Stefanie Peßenteiner
Hydrol. Earth Syst. Sci., 25, 3207–3225, https://doi.org/10.5194/hess-25-3207-2021, https://doi.org/10.5194/hess-25-3207-2021, 2021
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In hydrology, it is often necessary to infer from a daily sum of precipitation a possible distribution over the day – for example how much it rained in each hour. In principle, for a given daily sum, there are endless possibilities. However, some are more likely than others. We show that a method from artificial intelligence called generative adversarial networks (GANs) can
learnwhat a typical distribution over the day looks like.
Gabriele Messori and Davide Faranda
Clim. Past, 17, 545–563, https://doi.org/10.5194/cp-17-545-2021, https://doi.org/10.5194/cp-17-545-2021, 2021
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The palaeoclimate community must both analyse large amounts of model data and compare very different climates. Here, we present a seemingly very abstract analysis approach that may be fruitfully applied to palaeoclimate numerical simulations. This approach characterises the dynamics of a given climate through a small number of metrics and is thus suited to face the above challenges.
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.
Paolo De Luca, Gabriele Messori, Davide Faranda, Philip J. Ward, and Dim Coumou
Earth Syst. Dynam., 11, 793–805, https://doi.org/10.5194/esd-11-793-2020, https://doi.org/10.5194/esd-11-793-2020, 2020
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In this paper we quantify Mediterranean compound temperature and precipitation dynamical extremes (CDEs) over the 1979–2018 period. The strength of the temperature–precipitation coupling during summer increased and is driven by surface warming. We also link the CDEs to compound hot–dry and cold–wet events during summer and winter respectively.
Cited articles
Aguilar, E., Auer, I., Brunet, M., Peterson, T. C., and Wieringa, J.: Guide-lines
on climate metadata and homogenization, WCDMP-No. 53, WMO-TDNo. 1186, World
Meteorological Organization, Geneva, Switzerland, 2003.
Alpert, P., Abramsky, R., and Neeman, B. U.: The prevailing summer synoptic
system in Israel – Subtropical High, not Persian Trough, Israel J.
Earth Sci., 39, 93–102, 1990.
Alpert, P., Osetinsky, I., Ziv, B., and Shafir, H.: Semi-objective
classification for daily synoptic systems: Application to the Eastern
Mediterranean climate change, Int. J. Climatol., 24, 1001–1011,
https://doi.org/10.1002/joc.1036, 2004a.
Alpert, P., Osetinsky, I., Ziv, B., and Shafir, H.: A new seasons' definition
based on the classified daily synoptic systems, an example for the Eastern
Mediterranean, Int. J. Climatol., 24, 1013–1021,
https://doi.org/10.1002/joc.1037, 2004b.
Baldi, M., Dalu, G., Marrachi, G., Pasqui, M., and Cesarone, F.: Heat waves in
the Mediterranean: A local feature or a larger-scale effect?, Int.
J. Climatol., 26, 1477–1488, https://doi.org/10.1002/joc.1389, 2006.
Ballester, J., Robine, J. M., Herrmann, F. R., and Rodó, X.: Effect of the Great Recession on regional mortality trends in Europe, Nat. Commun., 10, 679, https://doi.org/10.1038/s41467-019-08539-w, 2019.
Barcikowska, M. J., Kapnick, S. B., Krishnamurty, L., Russo, S., Cherchi, A., and Folland, C. K.: Changes in the future summer Mediterranean climate: contribution of teleconnections and local factors, Earth Syst. Dynam., 11, 161–181, https://doi.org/10.5194/esd-11-161-2020, 2020.
Barriopedro, D., Fischer, E. M., Luterbacher, J., Trigo, R. M., and
García-Herrera, R.: The hot summer of 2010: redrawing the temperature
record map of Europe, Science, 332, 220–224,
https://doi.org/10.1126/science.1201224, 2011.
Battisti, D. S. and Naylor, R. L.: Historical warnings of future food insecurity
with unprecedented seasonal heat, Science, 323, 240–244,
https://doi.org/10.1126/science.1164363, 2009.
Bennett, J. E., Blangiardo, M., Fecht, D., Elliott, P., and Ezzati, M.:
Vulnerability to the mortality effects of warm temperature in the districts
of England and wales, Nat. Clim. Change, 4, 269–273,
https://doi.org/10.1038/nclimate2123, 2014.
Bieli, M., Pfahl, S., and Wernli, H.: A Lagrangian investigation of hot and cold
temperature extremes in Europe, Q. J. Roy.
Meteor. Soc., 141, 98–108,
https://doi.org/10.1002/qj.2339, 2015.
Bitan, A. and Saaroni, H.: The horizontal and vertical extension of the Persian
Gulf trough, Int. J. Climatol., 12, 733–747,
https://doi.org/10.1002/joc.3370120706, 1992.
Black, E., Blackburn, M., Harrison, R. G., Hoskins, B. J., and Methven, J.:
Factors contributing to the summer 2003 European heatwave, Weather, 59,
217–223, https://doi.org/10.1256/wea.74.04, 2004.
Buizza, R.: Potential forecast skill of ensemble prediction and spread and
skill distributions of the ECMWF ensemble prediction system, Mon. Weather
Rev., 125, 99-119, 1997.
Buizza, R., Houtekamer, P. L., Pellerin, G., Toth, Z., Zhu, Y., and Wei, M.: A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems, Mon. Weather Rev., 133, 1076–1097, 2005.
Buschow, S. and Friederichs, P.: Local dimension and recurrent circulation patterns in long-term climate simulations, Chaos, 28, 083124, https://doi.org/10.1063/1.5031094, 2018.
Brunetti, M., Kasparian, J., and Vérard, C.: Co-existing climate attractors
in a coupled aqua-planet, Clim. Dynam., 53, 6293–6308,
https://doi.org/10.1007/s00382-019-04926-7, 2019.
Caby, T., Faranda, D., Vaienti, S., and Yiou, P.: Extreme value distributions of
observation recurrences, arXiv [preprint], Nonlinearity, 34, 118, https://doi.org/10.1088/1361-6544/abaff1,
2020.
Caldeira, M. C., Lecomte, X., David, T. S., Pinto, J. G., Bugalho, M. N., and
Werner, C.: Synergy of extreme drought and plant invasion reduce ecosystem
functioning and resilience, Sci. Rep.-UK, 5, 15110, https://doi.org/10.1038/srep15110, 2015.
Davini, P., Cagnazzo, C., Gualdi, S., and Navarra, A.: Bidimensional
diagnostics, variability, and trends of northern hemisphere 2015 blocking,
J. Climate, 25, 6496–6509, https://doi.org/10.1175/JCLI-D-12-00032.1, 2012.
Dayan, U., Tubi, A., and Levy, I.: On the importance of synoptic classification
methods with respect to environmental phenomena, Int. J.
Climatol., 32, 681–694, https://doi.org/10.1002/joc.2297, 2012.
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., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park,
B. K., Peubey, C., De Rosnay, P., Tavolato, C., Thépaut, 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.
De Luca, P., Messori, G., Pons, F. M. E., and Faranda, D.: Dynamical systems theory sheds
new light on compound climate extremes in Europe and Eastern North America,
Q. J. Roy. Meteor. Soc., 146, 1636–1650, https://doi.org/10.1002/qj.3757, 2020a.
De Luca, P., Messori, G., Faranda, D., Ward, P. J., and Coumou, D.: Compound warm–dry and cold–wet events over the Mediterranean, Earth Syst. Dynam., 11, 793–805, https://doi.org/10.5194/esd-11-793-2020, 2020b.
Deryng, D., Conway, D., Ramankutty, N., Price, J., and Warren, R.: Global crop
yield response to extreme heat stress under multiple climate change futures,
Environ. Res. Lett., 9, 034011, https://doi.org/10.1088/1748-9326/9/3/034011, 2014.
Dirmeyer, P. A., Halder, S., and, Bombardi, R.: On the harvest of predictability
from land states in a global forecast model, J. Geophys. Res.-Atmos., 123, 111–127, https://doi.org/10.1029/2018JD029103, 2018.
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., and
Mearns, L. O.: Climate extremes: Observations, modelling and impacts,
Science, 289, 2068–2074, https://doi.org/10.1126/science.289.5487.2068, 2000.
Entin, J. K., Robock, A., Vinnikov, K. Y., Hollinger, S. E., Liu, S., and Namkhai,
A.: Temporal and spatial scales of observed soil moisture variations in the
extra tropics, J. Geophys. Res., 105, 11865–11877,
https://doi.org/10.1029/2000JD900051, 2000.
Epstein, Y. and Moran, D. S.: Thermal comfort and the Heat Stress Indices, Industrial Health, 44, 388–398, https://doi.org/10.2486/indhealth.44.388, 2006.
ETH Zürich: LAGRANTO, available at: https://iacweb.ethz.ch/staff/sprenger/lagranto/, last access: 29 January 2021.
Faranda, D., Messori, G., and Yiou, P.: Dynamical proxies of North Atlantic
predictability and extremes, Sci. Rep.-UK, 7, 41278,
https://doi.org/10.1038/srep41278, 2017a.
Faranda, D., Messori, G., Alvarez-Castro, M. C., and Yiou, P.: Dynamical properties and extremes of Northern Hemisphere climate fields over the past 60 years, Nonlin. Processes Geophys., 24, 713–725, https://doi.org/10.5194/npg-24-713-2017, 2017b.
Faranda, D., Messori, G., and Vannistem, S.: Attractor dimension of
time-averaged climate observables: insights from a low-order
ocean-atmosphere model, Tellus A, 71, 1554413, https://doi.org/10.1080/16000870.2018.1554413, 2019a.
Faranda, D., Alvarez-Castro, M. C., Messori, G., Rodrigues, D., and Yiou, P.: The
hammam effect or how a warm ocean enhances large scale atmospheric
predictability, Nat. Commun., 10, 1316, https://doi.org/10.1038/s41467-019-09305-8, 2019b.
Faranda, D., Sato, Y., Messori, G., Moloney, N. R., and Yiou, P.: Minimal dynamical systems model of the Northern Hemisphere jet stream via embedding of climate data, Earth Syst. Dynam., 10, 555–567, https://doi.org/10.5194/esd-10-555-2019, 2019c.
Faranda, D., Messori, G., and Yiou, P.: Diagnosing concurrent drivers of weather
extremes: application to warm and cold days in North America, Clim.
Dynam., 54, 2187–2201, https://doi.org/10.1007/s00382-019-05106-3, 2020.
Ferranti, L., Corti, S., and Janousek, M.: Flow-dependent verification of the
ECMWF ensemble over the Euro-Atlantic sector, Q. J. Roy.
Meteor. Soc., 141, 916–924, https://doi.org/10.1002/qj.2411, 2015.
Fischer, E. M. and Schär, C.: Consistent geographical patterns of changes in
high-impact European heatwaves, Nat. Geosci., 3, 398–403,
https://doi.org/10.1038/ngeo866, 2010.
Freitas, A. C. M., Freitas, J. M., and Todd, M.: Hitting time statistics and
extreme value theory, Probab. Theory Rel., 147, 675–710,
https://doi.org/10.1007/s00440-009-0221-y, 2010.
Giorgi, F.: Climate change hot spots, Geophys. Res. Lett., 33,
L08707, https://doi.org/10.1029/2006gl025734, 2006.
Grumm, R. H.: The Central European and Russian Heat Event of July–August
2010, B. Am. Meteorol. Soc., 92,
1285–1296, https://doi.org/10.1175/2011bams3174.1, 2011.
Hamill, T. M., Bates, G. T., Whitaker, J. S., Murray, D. R., Fiorino, M.,
Galarneau, T. J., Zhu, Y., and Lapenta, W.: NOAA's Second-Generation Global
Medium-Range Ensemble Reforecast Dataset, B. Am.
Meteorol. Soc., 94, 1553–1565, https://doi.org/10.1175/bams-d-12-00014.1, 2013.
Harpaz, T., Ziv, B., Saaroni, H., and Beja, E.: Extreme summer temperatures in
the East Mediterranean – dynamical analysis, Int. J.
Climatol., 34, 849–862, https://doi.org/10.1002/joc.3727, 2014.
Hochman, A., Mercogliano, P., Alpert, P., Saaroni, H., and Bucchignani, E.:
High-resolution projection of climate change and extremity over Israel using
COSMO-CLM, Int. J. Climatol., 38, 5095–5106,
https://doi.org/10.1002/joc.5714, 2018a.
Hochman, A., Alpert, P., Harpaz, T., Saaroni, H., and Messori, G.: A new
dynamical systems perspective on atmospheric predictability: eastern
Mediterranean weather regimes as a case study, Sci. Adv., 6, 1–10, https://doi.org/10.1126/sciadv.aau0936, 2019.
Hochman, A., Scher, S., Quinting, J., Pinto, J. G., and Messori, G.: Dynamics and
predictability of cold Spells over the Eastern Mediterranean, Clim.
Dynam., https://doi.org/10.1007/s00382-020-05465-2, 2020a.
Hochman, A., Alpert, P., Kunin, P., Rostkier-Edelstein, D., Harpaz, T.,
Saaroni, H., and Messori, G.: The dynamics of cyclones in the 21st century; the
eastern Mediterranean as an example, Clim. Dynam., 54, 561–574, https://doi.org/10.1007/s00382-019-05017-3, 2020b.
Hohenegger, C., Lüthi, D., and Schär, C.: Predictability mysteries in
cloud-resolving Models, Mon. Weather Rev., 134, 2095–2107, https://doi.org/10.1175/mwr3176.1, 2006.
Holton, J. R.: An introduction to dynamic meteorology, Elsevier, London, UK,
2004.
Hopson, T. M.: Assessing the ensemble spread-error relationship, Mon.
Weather Rev., 142, 1125–1142, https://doi.org/10.1175/MWR-D-12-00111.1, 2014.
IPCC: 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, M. D., Mach, K. J., Plattner, G. K., Allen, S. K., Tignor, M., and Midgley, P. M., Cambridge University Press, The Edinburgh Building, Shaftesbury Road, Cambridge CB2 8RU ENGLAND, 582 pp., https://doi.org/10.1017/cbo9781139177245, 2012.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M.,
Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-Year
reanalysis project, B. Am. Meteorol. Soc., 77, 437–471,
1996.
Katsafados, P., Papadopoulos, A., Varlas, G., Papadopoulou, E., and Mavromatidis, E.: Seasonal predictability of the 2010 Russian heat wave, Nat. Hazards Earth Syst. Sci., 14, 1531–1542, https://doi.org/10.5194/nhess-14-1531-2014, 2014.
Keune, J., Ohlwein, C., and Hense, A.: Multivariate probabilistic analysis and
predictability of medium-range ensemble weather forecasts, Mon. Weather
Rev., 142, 4074–4090, https://doi.org/10.1175/mwr-d-14-00015.1, 2014.
Koster, R. D., Mahanama, S. P. P., Yamada, T. J., Balsamo, G., Berg, A. A., Boisserie, M., Dirmeyer, P. A., Doblas-Reyes, F. J., Drewitt, G., Gordon, C. T., Guo, Z., Jeong, J. H., Lawrence, D. M., Lee, W. S., Li, Z., Luo, L., Malyshev, S., Merryfield, W. J., Seneviratne, S. I., Stanelle, T., van den Hurk, B. J. J. M., Vitart, F., ad Wood, E. F.: Contribution of land surface initialization to
sub-seasonal forecast skill: First results from a multi-model experiment,
Geophys. Res. Lett., 37, 1–6, https://doi.org/10.1029/2009GL041677, 2010.
Kuglitsch, F., Toreti, A., Xoplaki, E., Della-Martta, P., Zerefos, C. S.,
Türkeş, M., and Luterbacher, J.: Heat wave changes in the Eastern
Mediterranean since 1960, Geophys. Res. Lett., 37, L04802,
https://doi.org/10.1029/2009gl041841, 2010.
Kunin, P., Alpert, P., and Rostkier-Edelstein, D.: Investigation of
sea-breeze/foehn in the Dead-Sea valley employing high-resolution WRF and
observations, Atmos. Res., 229, 240–254,
https://doi.org/10.1016/j.atmosres.2019.06.012, 2019.
Kushnir, Y., Dayan, U., Ziv, B., Morin, E., and Enzel, Y.: Climate of the
Levant: phenomena and mechanisms, in: Quaternary of the Levant: environments,
climate change, and humans, edited by: Enzel, Y. and Ofer, B.-Y.,
Cambridge University Press, Cambridge, UK, 31–44, 2017.
Laboratoire des Sciences du Climat et de l'Environment: Davide Faranda, available at: https://www.lsce.ipsl.fr/Pisp/davide.faranda/, last access: 29 January 2021.
Lelieveld, J., Proestos, Y., Hadjinicolaou, P., Tanarhte, M., Tyrlis, E., and
Zittis, G.: Strongly increasing heat extremes in the Middle East and North
Africa (MENA) in the 21st century, Climatic Change, 137, 245–260,
https://doi.org/10.1007/s10584-016-1665-6, 2016.
Loken, E. D., Clark, J. C., Xue, M., and Kong, F.: Spread and skill in mixed and
single physics convection allowing ensembles, Weather Forecast., 34,
305–330, https://doi.org/10.1175/waf-d-18-0078.1, 2019.
Lorenz, E. N.: Deterministic non-periodic flow, J. Atmos.
Sci., 20, 130–141, 1963.
Lorenz, E. N.: Atmospheric predictability as revealed by naturally occurring
analogues, J. Atmos. Sci., 26, 636–646,
1969.
Lucarini, V. and Gritsun, A.: A new mathematical framework for atmospheric
blocking events, Clim. Dynam., 54, 575–598, https://doi.org/10.1007/s00382-019-05018-2, 2020.
Lucarini, V., Faranda, D., and Wouters, J.: Universal behavior of extreme value
statistics for selected observables of dynamical systems, J.
Stat. Phys., 147, 63–73, https://doi.org/10.1007/s10955-012-0468-z, 2012.
Lucarini, V., Faranda, D., Freitas, A. C. M., Freitas, J. M., Holland, M.,
Kuna, T., Nicol, M., Todd, M., and Vaienti, S.: Extremes and recurrence in
dynamical systems, in: Pure and Applied Mathematics, edited by: Lucarini, V., Faranda, D., Freitas, A. C. G. M. M. D., Freitas, J. M. M. D., Holland, M., Kuna, T., Nicol, M., Todd, M., and Vaienti, S.: Extreme Value Theory for Selected Dynamical Systems, Wiley, Hoboken, NJ, USA,
126–172, https://doi.org/10.1002/9781118632321.ch6, 2016.
Matsueda, M.: Predictability of Euro-Russian blocking in summer of 2010,
Geophys. Res. Lett., 38, L06801,
https://doi.org/10.1029/2010gl046557, 2011.
Matsueda, M. and Palmer, T. N.: Estimates of flow-dependent predictability of
wintertime Euro-Atlantic weather regimes in medium-range forecasts,
Q. J. Roy. Meteor. Soc., 144, 1012–1027,
https://doi.org/10.1002/qj.3265, 2018.
Meehl, G. A. and Tebaldi, C.: More intense, more frequent, and longer lasting
heatwaves in the 21st century, Science, 305, 994–997, https://doi.org/10.1126/science.1098704, 2004.
Melhauser, C. and Zhang, F.: Practical and intrinsic predictability of severe
and convective weather at the mesoscales, J. Atmos.
Sci., 69, 3350–3371, https://doi.org/10.1175/JAS-D-11-0315.1, 2012.
Messori, G., Caballero, R., and Faranda, D.: A dynamical systems approach to
studying midlatitude weather extremes, Geophys. Res. Lett., 44,
3346–3354, https://doi.org/10.1002/2017gl072879, 2017.
Moloney, N. R., Faranda, D., and Sato, Y.: An overview of the extremal index,
Chaos, Interdisciplinary Journal of Nonlinear Science, 29, 022101,
https://doi.org/10.1063/1.5079656, 2019.
Peterson, T. C., Heim Jr., R. R., Hirsch, R., Kaiser, D. P., Brooks, H., Diffenbaugh, N. S., Dole, R. M., Giovannettone, J. P., Guirguis, K., Karl, T. R., Katz, R. W., Kunkel, K., Lettenmaier, D., McCabe, G. J., Paciorek, C. J., Ryberg, K. R., Schubert, S., Silva, V. B. S., Stewart, B. C., Vecchia, A. V., Villarini, G., Vose, R. S., Walsh, J., Wehner, M., Wolock, D., Wolter, K., Woodhouse, C. A., and Wuebbles, D.: Monitoring and understanding
changes in heat waves, cold waves, floods and droughts in the United States:
State of knowledge, B. Am. Meteorol. Soc., 94,
821–834, https://doi.org/10.1175/bams-d-12-00066.1, 2013.
Pons, F. M. E., Messori, G., Alvarez-Castro, M. C., and Faranda, D.: Sampling
hyperspheres via extreme value theory: implications for measuring attractor
dimensions, J. Stat. Phys., 179, 1698–1717, https://doi.org/10.1007/s10955-020-02573-5, 2020.
Quandt, L. A., Keller, J. H., Martius, O., and Jones, S. C.: Forecast variability
of the blocking system over Russia in summer 2010 and its impact on surface
conditions, Weather Forecast., 32, 61–82, https://doi.org/10.1175/WAF-D-16-0065.1, 2017.
Quandt, L. A., Keller, J. H., Martius, O., Pinto, J. G., and Jones, S. C.:
Ensemble sensitivity analysis of the blocking system over Russia in summer
2010, Mon. Weather Rev., 147, 657–675, https://doi.org/10.1175/mwr-d-18-0252.1, 2019.
Quinting, J. F. and Reeder, M. J.: Southeastern Australian heat waves from a
trajectory viewpoint, Mon. Weather Rev., 145, 4109–4125,
https://doi.org/10.1175/MWR-D-17-0165.1, 2017.
Quinting, J. F., Parker, T., and Reeder, M. J.: Two synoptic routes to subtropical
heat waves as illustrated in the Brisbane region of Australia, Geophys.
Res. Lett., 45, 10700– 10708, https://doi.org/10.1029/2018GL079261, 2018.
Rodrigues, D., Alvarez-Castro, M. C., Messori, G., Yiou, P., Robin, Y., and
Faranda, D.: Dynamical properties of the North Atlantic atmospheric
circulation in the Past 150 Years in CMIP5 Models and the 20CRv2c
Reanalysis, J. Climate, 31, 6097–6111, https://doi.org/10.1175/jcli-d-17-0176.1, 2018.
Rodwell, M. J. and Hoskins, B.: Monsoons and the dynamic of deserts, Q.
J. Roy. Meteorol. Soc., 122, 1385–1404, https://doi.org/10.1002/qj.49712253408, 1996.
Russo, S., Dosio, A., Graversen, R. G., Sillmann, J., Carrao, H., Dunbar,
M. B., and Vogt, J. V.: Magnitude of extreme heatwaves in present climate and
their projection in a warming world, J. Geophys.
Res.-Atmos., 119, 1–13, https://doi.org/10.1002/2014jd022098, 2014.
Saaroni, H. and Ziv, B.: Summer rain episodes in a Mediterranean climate – the
case of Israel: climatological-dynamical analysis, Int. J.
Climatol., 20, 191–209, 2000.
Saaroni, H., Savir, A., and Ziv, B.: Synoptic classification of the summer
season for the Levant using an “environment to climate” approach,
Int. J. Climatol., 37, 4684–4699, https://doi.org/10.1002/joc.5116, 2017.
Santos, J. A., Pfahl, S., Pinto, J. G., and Wernli, H.: Mechanisms underlying
temperature extremes in Iberia: a Lagrangian perspective, Tellus A,
67, 26032,
https://doi.org/10.3402/tellusa.v67.26032, 2015.
Scher, S. and Messori, G.: Predicting weather forecast uncertainty with
machine learning, Q. J. Roy. Meteor. Soc.,
144, 2830–2841, https://doi.org/10.1002/qj.3410, 2018.
Schneidereit, A., Schubert, S., Vargin, P., Lunkeit, F., Zhu, X., Peters,
D. H. W., and Fraedrich, K.: Large-scale flow and the long-lasting blocking high
over Russia: Summer 2010, Mon. Weather Rev., 140, 2967–2981,
https://doi.org/10.1175/mwr-d-11-00249.1, 2012.
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, M. D., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P. M.,
Cambridge University Press,
Cambridge, UK, 109–230, 2012.
Shaby, B. A., Reich, B. J., Cooley, D., and Kaufman, C. G.: A Markov-Switching
model for heat waves, Ann. Appl. Stat., 10, 74–93,
https://doi.org/10.1214/15-aoas873, 2016.
Siebert, S. and Ewert, F.: Future crop production threatened by extreme heat,
Environ. Res. Lett., 9, 041001, https://doi.org/10.1088/1748-9326/9/4/041001, 2014.
Sprenger, M. and Wernli, H.: The LAGRANTO Lagrangian analysis tool – version 2.0, Geosci. Model Dev., 8, 2569–2586, https://doi.org/10.5194/gmd-8-2569-2015, 2015.
Stott, P. A., Stone, D. A., and Allen, M. R.: Human contribution to the European
heatwave of 2003, Nature, 432, 610–614, https://doi.org/10.1038/nature03089, 2004.
Süveges, M.: Likelihood estimation of the extremal
index, Extremes, 10, 41–55, https://doi.org/10.1007/s10687-007-0034-2, 2007.
Tyrlis, E. and Lelieveld, J.: Climatology and dynamics of the summer Etesian
winds over the Eastern Mediterranean, J. Atmos.
Sci., 70, 3374–3396, https://doi.org/10.1175/JAS-D-13-035.1, 2013.
Uzan, L., Egert, S., and Alpert, P.: Ceilometer evaluation of the eastern Mediterranean summer boundary layer height – first study of two Israeli sites, Atmos. Meas. Tech., 9, 4387–4398, https://doi.org/10.5194/amt-9-4387-2016, 2016.
Uzan, L., Egert, S., Khain, P., Levi, Y., Vadislavsky, E., and Alpert, P.: Ceilometers as planetary boundary layer height detectors and a corrective tool for COSMO and IFS models, Atmos. Chem. Phys., 20, 12177–12192, https://doi.org/10.5194/acp-20-12177-2020, 2020.
Wernli, H. and Davies, H. C.: A lagrangian-based analysis of extratropical
cyclones. I: The method and some applications, Q. J.
Roy. Meteor. Soc., 123, 467–489, https://doi.org/10.1002/qj.49712353811, 1997.
Whitaker, J. S. and Loughe, A. F.: The relationship between ensemble spread and
ensemble mean skill, Mon. Weather Rev., 126, 3292–3302, https://doi.org/10.1175/1520-0493(1998)126<3292:TRBESA>2.0.CO;2, 1998.
Williams, C. A.: Heat and drought extremes likely to stress ecosystem
productivity equally or more in a warmer, CO2 rich future, Environ.
Res. Lett., 9, 101002,
https://doi.org/10.1088/1748-9326/9/10/101002, 2014.
Yarnal, B.: Synoptic climatology in environmental analysis, Belhaven Press,
London, UK, https://doi.org/10.1016/0160-4120(93)90293-q, 1993.
Yarnal, B., Comrie, A. C., Frakes, B., and Brown, D. P.: Developments and
prospects in synoptic climatology – Review, Int. J. Climatol., 21, 1923–1950, https://doi.org/10.1002/joc.675,
2001.
Yosef, Y., Aguilar, E., and Alpert, P.: Detecting and adjusting artificial
biases in long-term temperature records in Israel, Int. J. Climatol., 38, 3273–3289, https://doi.org/10.1002/joc.5500,
2018.
Zaitchik, B. F., Evans, J. P., and Smith, R. B.: Regional impact of an elevated
heat source: The Zagros Plateau of Iran, J. Climate, 20, 4133–4166,
https://doi.org/10.1175/jcli4248.1, 2007.
Zampieri, M., D'Andrea, F., Vautard, R., Ciais, P., de Noblet-Ducoudré,
N., and Yiou, P.: Hot European summers and the role of soil moisture in the
propagation of Mediterranean drought, J. Climate, 22,
4747–4758, https://doi.org/10.1175/2009JCLI2568.1, 2009.
Zittis, G., Hadjinicolaou, P., and Lelieveld, J.: Role of soil moisture in the
amplification of climate warming in the eastern Mediterranean and the Middle
East, Clim. Res., 59, 27–37, https://doi.org/10.3354/cr01205, 2014.
Ziv, B., Saaroni, H., and Alpert, P.: The factors governing the summer regime of
the Eastern Mediterranean, Int. J. Climatol., 24,
1859–1871, https://doi.org/10.1002/joc.1113, 2004.
Zschenderlein, P., Fink, A. H., Pfahl, S., and Wernli, H.: Processes determining
heat waves across different European climates, Q. J.
Roy. Meteor. Soc., 145, 2973–2989, https://doi.org/10.1002/qj.3599, 2019.
Feeling the heat, Nat. Clim. Change, 8, 347, https://doi.org/10.1038/s41558-018-0169-y, 2018.
Short summary
Skillful forecasts of extreme weather events have a major socioeconomic relevance. Here, we compare two approaches to diagnose the predictability of eastern Mediterranean heat waves: one based on recent developments in dynamical systems theory and one leveraging numerical ensemble weather forecasts. We conclude that the former can be a useful and cost-efficient complement to conventional numerical forecasts for understanding the dynamics of eastern Mediterranean heat waves.
Skillful forecasts of extreme weather events have a major socioeconomic relevance. Here, we...
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