Articles | Volume 9, issue 2
https://doi.org/10.5194/esd-9-757-2018
© Author(s) 2018. 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-9-757-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2018
Research article |
| 08 Jun 2018
| 08 Jun 2018
Recent trends in the frequency and duration of global floods
Department of Civil Engineering, City University of New York (City College), New York, 10031, USA
Center for Water Resources and Environmental Research (City Water Center), City University of New York, New York, 10031, USA
NOAA/Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies (CREST), City University of New York, New York, 10031, USA
Naresh Devineni
Department of Civil Engineering, City University of New York (City College), New York, 10031, USA
Center for Water Resources and Environmental Research (City Water Center), City University of New York, New York, 10031, USA
NOAA/Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies (CREST), City University of New York, New York, 10031, USA
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Bianca Rahill-Marier, Naresh Devineni, and Upmanu Lall
Hydrol. Earth Syst. Sci., 26, 5685–5695, https://doi.org/10.5194/hess-26-5685-2022, https://doi.org/10.5194/hess-26-5685-2022, 2022
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We present a new approach to modeling extreme regional rainfall by considering the spatial structure of extreme events. The developed models allow a probabilistic exploration of how the regional drainage network may respond to extreme rainfall events and provide a foundation for how future risks may be better estimated.
Arun Ravindranath, Naresh Devineni, Upmanu Lall, and Paulina Concha Larrauri
Hydrol. Earth Syst. Sci., 22, 5125–5141, https://doi.org/10.5194/hess-22-5125-2018, https://doi.org/10.5194/hess-22-5125-2018, 2018
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We present a framework for forecasting water storage requirements in the agricultural sector and an application of this framework to water risk assessment in India. Our framework involves defining a crop-specific water stress index and applying a particular statistical forecasting model to predict seasonal water stress for the crop of interest. The application focused on forecasting crop water stress for potatoes grown during the monsoon season in the Satara district of Maharashtra.
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang
Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, https://doi.org/10.5194/hess-18-1653-2014, 2014
X. Chen, Z. Hao, N. Devineni, and U. Lall
Hydrol. Earth Syst. Sci., 18, 1539–1548, https://doi.org/10.5194/hess-18-1539-2014, https://doi.org/10.5194/hess-18-1539-2014, 2014
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Clementine Dalelane, Kristina Winderlich, and Andreas Walter
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Si Chen, Zhenghui Xie, Jinbo Xie, Bin Liu, Binghao Jia, Peihua Qin, Longhuan Wang, Yan Wang, and Ruichao Li
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Lisa Jach, Thomas Schwitalla, Oliver Branch, Kirsten Warrach-Sagi, and Volker Wulfmeyer
Earth Syst. Dynam., 13, 109–132, https://doi.org/10.5194/esd-13-109-2022, https://doi.org/10.5194/esd-13-109-2022, 2022
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The land surface can influence the occurrence of local rainfall through different feedback mechanisms. In Europe, this happens most frequently in summer. Here, we examine how differences in atmospheric temperature and moisture change where and how often the land surface can influence rainfall. The results show that the differences barely move the region of strong surface influence over Scandinavia and eastern Europe, but they can change the frequency of coupling events.
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
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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.
Sebastian Landwehr, Michele Volpi, F. Alexander Haumann, Charlotte M. Robinson, Iris Thurnherr, Valerio Ferracci, Andrea Baccarini, Jenny Thomas, Irina Gorodetskaya, Christian Tatzelt, Silvia Henning, Rob L. Modini, Heather J. Forrer, Yajuan Lin, Nicolas Cassar, Rafel Simó, Christel Hassler, Alireza Moallemi, Sarah E. Fawcett, Neil Harris, Ruth Airs, Marzieh H. Derkani, Alberto Alberello, Alessandro Toffoli, Gang Chen, Pablo Rodríguez-Ros, Marina Zamanillo, Pau Cortés-Greus, Lei Xue, Conor G. Bolas, Katherine C. Leonard, Fernando Perez-Cruz, David Walton, and Julia Schmale
Earth Syst. Dynam., 12, 1295–1369, https://doi.org/10.5194/esd-12-1295-2021, https://doi.org/10.5194/esd-12-1295-2021, 2021
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The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and
hotspotsof interaction. Code and data are open access.
Pascal Perolo, Bieito Fernández Castro, Nicolas Escoffier, Thibault Lambert, Damien Bouffard, and Marie-Elodie Perga
Earth Syst. Dynam., 12, 1169–1189, https://doi.org/10.5194/esd-12-1169-2021, https://doi.org/10.5194/esd-12-1169-2021, 2021
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Wind blowing over the ocean creates waves that, by increasing the level of turbulence, promote gas exchange at the air–water interface. In this study, for the first time, we measured enhanced gas exchanges by wind-induced waves at the surface of a large lake. We adapted an ocean-based model to account for the effect of surface waves on gas exchange in lakes. We finally show that intense wind events with surface waves contribute disproportionately to the annual CO2 gas flux in a large lake.
Tommaso Alberti, Reik V. Donner, and Stéphane Vannitsem
Earth Syst. Dynam., 12, 837–855, https://doi.org/10.5194/esd-12-837-2021, https://doi.org/10.5194/esd-12-837-2021, 2021
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We provide a novel approach to diagnose the strength of the ocean–atmosphere coupling by using both a reduced order model and reanalysis data. Our findings suggest the ocean–atmosphere dynamics presents a rich variety of features, moving from a chaotic to a coherent coupled dynamics, mainly attributed to the atmosphere and only marginally to the ocean. Our observations suggest further investigations in characterizing the occurrence and spatial dependency of the ocean–atmosphere coupling.
Alan Bartholet, Glenn A. Milne, and Konstantin Latychev
Earth Syst. Dynam., 12, 783–795, https://doi.org/10.5194/esd-12-783-2021, https://doi.org/10.5194/esd-12-783-2021, 2021
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Improving the accuracy of regional sea-level projections is an important aim that will impact estimates of sea-level hazard around the globe. The computation of sea-level fingerprints is a key component of any such projection, and to date these computations have been based on the assumption that elastic deformation accurately describes the solid Earth response on century timescales. We show here that this assumption is inaccurate in some glaciated regions characterized by low mantle viscosity.
Achim Wirth and Florian Lemarié
Earth Syst. Dynam., 12, 689–708, https://doi.org/10.5194/esd-12-689-2021, https://doi.org/10.5194/esd-12-689-2021, 2021
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We show that modern concepts of non-equilibrium statistical mechanics can be applied to large-scale environmental fluid dynamics, where fluctuations are not thermal but come from turbulence. The work theorems developed by Jarzynski and Crooks are applied to air–sea interaction. Rather than looking at the average values of thermodynamic variables, their probability density functions are considered, which allows us to replace the inequalities of equilibrium statistical mechanics with equalities.
Nico Wunderling, Jonathan F. Donges, Jürgen Kurths, and Ricarda Winkelmann
Earth Syst. Dynam., 12, 601–619, https://doi.org/10.5194/esd-12-601-2021, https://doi.org/10.5194/esd-12-601-2021, 2021
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In the Earth system, climate tipping elements exist that can undergo qualitative changes in response to environmental perturbations. If triggered, this would result in severe consequences for the biosphere and human societies. We quantify the risk of tipping cascades using a conceptual but fully dynamic network approach. We uncover that the risk of tipping cascades under global warming scenarios is enormous and find that the continental ice sheets are most likely to initiate these failures.
Frederik Wolf, Aiko Voigt, and Reik V. Donner
Earth Syst. Dynam., 12, 353–366, https://doi.org/10.5194/esd-12-353-2021, https://doi.org/10.5194/esd-12-353-2021, 2021
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In our work, we employ complex networks to study the relation between the time mean position of the intertropical convergence zone (ITCZ) and sea surface temperature (SST) variability. We show that the information hidden in different spatial SST correlation patterns, which we access utilizing complex networks, is strongly correlated with the time mean position of the ITCZ. This research contributes to the ongoing discussion on drivers of the annual migration of the ITCZ.
Frederik Wolf, Ugur Ozturk, Kevin Cheung, and Reik V. Donner
Earth Syst. Dynam., 12, 295–312, https://doi.org/10.5194/esd-12-295-2021, https://doi.org/10.5194/esd-12-295-2021, 2021
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Motivated by a lacking onset prediction scheme, we examine the temporal evolution of synchronous heavy rainfall associated with the East Asian Monsoon System employing a network approach. We find, that the evolution of the Baiu front is associated with the formation of a spatially separated double band of synchronous rainfall. Furthermore, we identify the South Asian Anticyclone and the North Pacific Subtropical High as the main drivers, which have been assumed to be independent previously.
Margarida L. R. Liberato, Irene Montero, Célia Gouveia, Ana Russo, Alexandre M. Ramos, and Ricardo M. Trigo
Earth Syst. Dynam., 12, 197–210, https://doi.org/10.5194/esd-12-197-2021, https://doi.org/10.5194/esd-12-197-2021, 2021
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Extensive, long-standing dry and wet episodes are frequent climatic extreme events (EEs) in the Iberian Peninsula (IP). A method for ranking regional extremes of persistent, widespread drought and wet events is presented, using different SPEI timescales. Results show that there is no region more prone to EE occurrences in the IP, the most extreme extensive agricultural droughts evolve into hydrological and more persistent extreme droughts, and widespread wet and dry EEs are anti-correlated.
Breno Raphaldini, André S. W. Teruya, Pedro Leite da Silva Dias, Lucas Massaroppe, and Daniel Yasumasa Takahashi
Earth Syst. Dynam., 12, 83–101, https://doi.org/10.5194/esd-12-83-2021, https://doi.org/10.5194/esd-12-83-2021, 2021
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Several recent studies suggest a modulation of the Madden–Julian oscillation (MJO) by the quasi-biennial oscillation (QBO). The physics behind this interaction, however, remain poorly understood. In this study, we investigated the QBO–MJO interaction and the role of stratospheric ozone as a forcing mechanism. A normal-mode decomposition procedure combined with causality analysis reveals significant interactions between MJO-related modes and QBO-related modes.
Derrick K. Danso, Sandrine Anquetin, Arona Diedhiou, Kouakou Kouadio, and Arsène T. Kobea
Earth Syst. Dynam., 11, 1133–1152, https://doi.org/10.5194/esd-11-1133-2020, https://doi.org/10.5194/esd-11-1133-2020, 2020
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The atmospheric and surface conditions that exist during the occurrence of daytime low-level clouds (LLCs) and their influence on solar radiation were investigated in West Africa. During the monsoon season, these LLCs are linked to high moisture flux driven by strong southwesterly winds from the Gulf of Guinea and significant background moisture levels. Their occurrence leads to a strong reduction in the incoming solar radiation and has large impacts on the surface energy budget.
David García-García, Isabel Vigo, and Mario Trottini
Earth Syst. Dynam., 11, 1089–1106, https://doi.org/10.5194/esd-11-1089-2020, https://doi.org/10.5194/esd-11-1089-2020, 2020
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The global water cycle involves water-mass transport on land, in the atmosphere, in the ocean, and among them. The GRACE mission has allowed for the quantification of water-mass variations. It was a revolution in the understanding of Earth dynamics. Here, we develop and apply a novel method, based on GRACE data and atmospheric models, that allows systematic estimation of water-mass exchange among ocean basins. This is valuable for understanding the role of the ocean within the water cycle.
Marie-Noëlle Woillez, Gaël Giraud, and Antoine Godin
Earth Syst. Dynam., 11, 1073–1087, https://doi.org/10.5194/esd-11-1073-2020, https://doi.org/10.5194/esd-11-1073-2020, 2020
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To illustrate the fact that future economic damage from global warming is often highly underestimated, we applied two different statistically based damage functions available in the literature to a global cooling of 4 °C. We show that the gross domestic product (GDP) projections obtained are at odds with the state of the planet during an ice age. We conclude that such functions do not provide relevant information on potential damage from a large climate change, be it cooling or warming.
Jonas Van Breedam, Heiko Goelzer, and Philippe Huybrechts
Earth Syst. Dynam., 11, 953–976, https://doi.org/10.5194/esd-11-953-2020, https://doi.org/10.5194/esd-11-953-2020, 2020
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We made projections of global mean sea-level change during the next 10 000 years for a range in climate forcing scenarios ranging from a peak in carbon dioxide concentrations in the next decades to burning most of the available carbon reserves over the next 2 centuries. We find that global mean sea level will rise between 9 and 37 m, depending on the emission of greenhouse gases. In this study, we investigated the long-term consequence of climate change for sea-level rise.
Praveen Kumar Pothapakula, Cristina Primo, Silje Sørland, and Bodo Ahrens
Earth Syst. Dynam., 11, 903–923, https://doi.org/10.5194/esd-11-903-2020, https://doi.org/10.5194/esd-11-903-2020, 2020
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Information exchange (IE) from the Indian Ocean Dipole (IOD) and El Niño–Southern Oscillation (ENSO) to Indian summer monsoon rainfall (ISMR) is investigated. Observational data show that IOD and ENSO synergistically exchange information on ISMR variability over central India. IE patterns observed in three global climate models (GCMs) differ from observations. Our study highlights new perspectives that IE metrics could bring to climate science.
Min Chen and Ken Caldeira
Earth Syst. Dynam., 11, 875–883, https://doi.org/10.5194/esd-11-875-2020, https://doi.org/10.5194/esd-11-875-2020, 2020
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We examine the implications of future motivation for humans to migrate by analyzing today’s relationships between climatic factors and population density, with all other factors held constant. Such analyses are unlikely to make accurate predictions but can still be useful for informing discussions about the broad range of incentives that might influence migration decisions. Areas with the highest projected population growth rates tend to be the areas most adversely affected by climate change.
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.
Simon Opie, Richard G. Taylor, Chris M. Brierley, Mohammad Shamsudduha, and Mark O. Cuthbert
Earth Syst. Dynam., 11, 775–791, https://doi.org/10.5194/esd-11-775-2020, https://doi.org/10.5194/esd-11-775-2020, 2020
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Knowledge of the relationship between climate and groundwater is limited and typically undermined by the scale, duration and accessibility of observations. Using monthly satellite measurements newly compiled over 14 years in the tropics and sub-tropics, we show that the imprint of precipitation history on groundwater, i.e. hydraulic memory, is longer in drylands than humid environments with important implications for the understanding and management of groundwater resources under climate change.
Thomas Mölg, Douglas R. Hardy, Emily Collier, Elena Kropač, Christina Schmid, Nicolas J. Cullen, Georg Kaser, Rainer Prinz, and Michael Winkler
Earth Syst. Dynam., 11, 653–672, https://doi.org/10.5194/esd-11-653-2020, https://doi.org/10.5194/esd-11-653-2020, 2020
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The glaciers on Kilimanjaro summit are like sample spots of the climate in the tropical mid-troposphere. Measurements of air temperature, air humidity, and precipitation with automated weather stations show that the differences in these meteorological elements between two altitudes (~ 5600 and ~ 5900 m) vary significantly over the day and the seasons, in concert with airflow dynamics around the mountain. Knowledge of these variations will improve atmosphere and cryosphere models.
Xinnong Pan, Geli Wang, Peicai Yang, Jun Wang, and Anastasios A. Tsonis
Earth Syst. Dynam., 11, 525–535, https://doi.org/10.5194/esd-11-525-2020, https://doi.org/10.5194/esd-11-525-2020, 2020
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The variations in oceanic and atmospheric modes play important roles in global and regional climate variability. The relationships between their variations and regional climate variability have been extensively examined, but the interconnections among these climate modes remain unclear. We show that the base periods and their harmonic oscillations that appear to be related to QBO, ENSO, and solar activities act as key connections among the climatic modes with synchronous behaviors.
Martin Wegmann, Marco Rohrer, María Santolaria-Otín, and Gerrit Lohmann
Earth Syst. Dynam., 11, 509–524, https://doi.org/10.5194/esd-11-509-2020, https://doi.org/10.5194/esd-11-509-2020, 2020
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Predicting the climate of the upcoming season is of big societal benefit, but finding out which component of the climate system can act as a predictor is difficult. In this study, we focus on Eurasian snow cover as such a component and show that knowing the snow cover in November is very helpful in predicting the state of winter over Europe. However, this mechanism was questioned in the past. Using snow data that go back 150 years into the past, we are now very confident in this relationship.
Hannah S. Davies, J. A. Mattias Green, and Joao C. Duarte
Earth Syst. Dynam., 11, 291–299, https://doi.org/10.5194/esd-11-291-2020, https://doi.org/10.5194/esd-11-291-2020, 2020
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We have confirmed that there is a supertidal cycle associated with the supercontinent cycle. As continents drift due to plate tectonics, oceans also change size, controlling the strength of the tides and causing periods of supertides. In this work, we used a coupled tectonic–tidal model of Earth's future to test four different scenarios that undergo different styles of ocean closure and periods of supertides. This has implications for the Earth system and for other planets with liquid oceans.
Paolo De Luca, Gabriele Messori, Robert L. Wilby, Maurizio Mazzoleni, and Giuliano Di Baldassarre
Earth Syst. Dynam., 11, 251–266, https://doi.org/10.5194/esd-11-251-2020, https://doi.org/10.5194/esd-11-251-2020, 2020
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We show that floods and droughts can co-occur in time across remote regions on the globe and introduce metrics that can help in quantifying concurrent wet and dry hydrological extremes. We then link wet–dry extremes to major modes of climate variability (i.e. ENSO, PDO, and AMO) and provide their spatial patterns. Such concurrent extreme hydrological events may pose risks to regional hydropower production and agricultural yields.
Yang Liu, Jisk Attema, Ben Moat, and Wilco Hazeleger
Earth Syst. Dynam., 11, 77–96, https://doi.org/10.5194/esd-11-77-2020, https://doi.org/10.5194/esd-11-77-2020, 2020
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Poleward meridional energy transport (MET) has significant impact on the climate in the Arctic. In this study, we quantify and intercompare MET at subpolar latitudes from six reanalysis data sets. The results indicate that the spatial distribution and temporal variations of MET differ substantially among the reanalysis data sets. Our study suggests that the MET estimated from reanalyses is useful for the evaluation of energy transports but should be used with great care.
Mia H. Gross, Markus G. Donat, Lisa V. Alexander, and Steven C. Sherwood
Earth Syst. Dynam., 11, 97–111, https://doi.org/10.5194/esd-11-97-2020, https://doi.org/10.5194/esd-11-97-2020, 2020
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This study explores the amplified warming of cold extremes relative to average temperatures for both the recent past and future in the Northern Hemisphere and the possible physical processes that are driving this. We find that decreases in snow cover and
warmer-than-usual winds are driving the disproportionate rates of warming in cold extremes relative to average temperatures. These accelerated warming rates in cold extremes have implications for tourism, insect longevity and human health.
Giorgia Di Capua, Marlene Kretschmer, Reik V. Donner, Bart van den Hurk, Ramesh Vellore, Raghavan Krishnan, and Dim Coumou
Earth Syst. Dynam., 11, 17–34, https://doi.org/10.5194/esd-11-17-2020, https://doi.org/10.5194/esd-11-17-2020, 2020
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Drivers from both the mid-latitudes and the tropical regions have been proposed to influence the Indian summer monsoon (ISM) subseasonal variability. To understand the relative importance of tropical and mid-latitude drivers, we apply recently developed causal discovery techniques to disentangle the causal relationships among these processes. Our results show that there is indeed a two-way interaction between the mid-latitude circulation and ISM rainfall over central India.
Nele Tim, Eduardo Zorita, Kay-Christian Emeis, Franziska U. Schwarzkopf, Arne Biastoch, and Birgit Hünicke
Earth Syst. Dynam., 10, 847–858, https://doi.org/10.5194/esd-10-847-2019, https://doi.org/10.5194/esd-10-847-2019, 2019
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Our study reveals that the latitudinal position and intensity of Southern Hemisphere trades and westerlies are correlated. In the last decades the westerlies have shifted poleward and intensified. Furthermore, the latitudinal shifts and intensity of the trades and westerlies impact the sea surface temperatures around southern Africa and in the South Benguela upwelling region. The future development of wind stress depends on the strength of greenhouse gas forcing.
Ashok Kumar Pokharel and Michael L. Kaplan
Earth Syst. Dynam., 10, 651–666, https://doi.org/10.5194/esd-10-651-2019, https://doi.org/10.5194/esd-10-651-2019, 2019
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This study contributes to a better understanding of how large-scale dust transport can be organized from northwest Africa to the US, Amazon basin, and Europe and might be due in part to Kelvin waves. We also think there is still a need to study major historical dust events that occurred in this region to confirm that this location is suitable and responsible for the generation of the Kelvin waves and the transport of dust on a regular basis.
Christoph Heinze, Veronika Eyring, Pierre Friedlingstein, Colin Jones, Yves Balkanski, William Collins, Thierry Fichefet, Shuang Gao, Alex Hall, Detelina Ivanova, Wolfgang Knorr, Reto Knutti, Alexander Löw, Michael Ponater, Martin G. Schultz, Michael Schulz, Pier Siebesma, Joao Teixeira, George Tselioudis, and Martin Vancoppenolle
Earth Syst. Dynam., 10, 379–452, https://doi.org/10.5194/esd-10-379-2019, https://doi.org/10.5194/esd-10-379-2019, 2019
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Earth system models for producing climate projections under given forcings include additional processes and feedbacks that traditional physical climate models do not consider. We present an overview of climate feedbacks for key Earth system components and discuss the evaluation of these feedbacks. The target group for this article includes generalists with a background in natural sciences and an interest in climate change as well as experts working in interdisciplinary climate research.
Leying Zhang, Haiming Xu, Jing Ma, Ning Shi, and Jiechun Deng
Earth Syst. Dynam., 10, 261–270, https://doi.org/10.5194/esd-10-261-2019, https://doi.org/10.5194/esd-10-261-2019, 2019
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Net heat flux dominates the frontogenesis of the NPSTF from October to December, while oceanic meridional temperature advection contributes equally as much or even more net heat flux in January and February. The atmosphere is critical to frontogenesis through net heat flux and the Aleutian low, the latter of which benefits meridional temperature advection.
Miguel Nogueira
Earth Syst. Dynam., 10, 219–232, https://doi.org/10.5194/esd-10-219-2019, https://doi.org/10.5194/esd-10-219-2019, 2019
Mathias Hauser, Wim Thiery, and Sonia Isabelle Seneviratne
Earth Syst. Dynam., 10, 157–169, https://doi.org/10.5194/esd-10-157-2019, https://doi.org/10.5194/esd-10-157-2019, 2019
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We develop a method to keep the amount of water in the soil at the present-day level, using only local water sources in a global climate model. This leads to less drying over many land areas, but also decreases river runoff. We find that temperature extremes in the 21st century decrease substantially using our method. This provides a new perspective on how land water can influence regional climate and introduces land water management as potential tool for local mitigation of climate change.
Elad Levintal, Nadav G. Lensky, Amit Mushkin, and Noam Weisbrod
Earth Syst. Dynam., 9, 1141–1153, https://doi.org/10.5194/esd-9-1141-2018, https://doi.org/10.5194/esd-9-1141-2018, 2018
Stéphane Vannitsem and Pierre Ekelmans
Earth Syst. Dynam., 9, 1063–1083, https://doi.org/10.5194/esd-9-1063-2018, https://doi.org/10.5194/esd-9-1063-2018, 2018
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The El Niño–Southern Oscillation phenomenon is a slow dynamics present in the coupled ocean–atmosphere tropical Pacific system which has important teleconnections with the northern extratropics. These teleconnections are usually believed to be the source of an enhanced predictability in the northern extratropics at seasonal to decadal timescales. This question is challenged by investigating the causality between these regions using an advanced technique known as convergent cross mapping.
Monica Ionita, Patrick Scholz, Klaus Grosfeld, and Renate Treffeisen
Earth Syst. Dynam., 9, 939–954, https://doi.org/10.5194/esd-9-939-2018, https://doi.org/10.5194/esd-9-939-2018, 2018
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In austral spring 2016 the Antarctic region experienced anomalous sea ice retreat in all sectors, with sea ice extent in October and November 2016 being the lowest in the Southern Hemisphere over the observational record (1979–present). The extreme sea ice retreat was accompanied by the wettest and warmest spring on record, over large areas covering the Indian ocean, the Ross Sea, and the Weddell Sea.
Cited articles
Abarbanel, H. D. and Lall, U.: Nonlinear dynamics of the Great Salt Lake: system
identification and prediction, Clim. Dynam., 12, 287–297, 1996. a
Alexander, L., Zhang, X., Peterson, T., Caesar, J., Gleason, B., Klein Tank,
A., Haylock, M., Collins, D., Trewin, B., Rahimzadeh, F., Tagipour, A., Kumar,
K. R., Revadekar, J., Griffiths, G., Vincent, L., Stephenson, D. B., Burn, J.,
Aguilar, E., Brunet, M., Taylor, M., New, M., Zhai, P., Rusticucci, M., and
Vazquez-Aguirre, J. L.: Global observed changes in daily climate extremes of
temperature and precipitation, J. Geophys. Res.-Atmos., 111, D05109,
https://doi.org/10.1029/2005JD006290, 2006. a
Armal, S., Devineni, N., and Khanbilvardi, R.: Trends in Extreme Rainfall
Frequency in the Contiguous United States: Attribution to Climate Change and
Climate Variability Modes, J. Climate, 31, 369–385, https://doi.org/10.1175/JCLI-D-17-0106.1, 2017. a, b, c
Asadieh, B. and Krakauer, N. Y.: Global change in streamflow extremes under
climate change over the 21st century, Hydrol. Earth Syst. Sci., 21, 5863–5874,
https://doi.org/10.5194/hess-21-5863-2017, 2017. a
Barnston, A. G. and Livezey, R. E.: Classification, seasonality and persistence
of low-frequency atmospheric circulation patterns, Mon. Weather Rev., 115, 1083–1126, 1987. a
Blöschl, G., Gaál, L., Hall, J., Kiss, A., Komma, J., Nester, T.,
Parajka, J., Perdigão, R. A., Plavcová, L., Rogger, M., Salinas, J. L.,
and Viglione, A.: Increasing river floods: fiction or reality?, Wiley
Interdisciplin. Rev.: Water, 2, 329–344, 2015. a
Bouwer, L. M.: Have disaster losses increased due to anthropogenic climate
change?, B. Am. Meteorol. Soc., 92, 39–46, 2011. a
Brakenridge, G., Tracy, B., and Knox, J.: Orbital SAR remote sensing of a river
flood wave, Int. J. Remote Sens., 19, 1439–1445, 1998. a
Brakenridge, G., Syvitski, J., Niebuhr, E., Overeem, I., Higgins, S., Kettner,
A., and Prades, L.: Design with nature: Causation and avoidance of catastrophic
flooding, Myanmar, Earth-Sci. Rev., 165, 81–109, https://doi.org/10.1016/j.earscirev.2016.12.009, 2016. a, b, c
Brakenridge, G. R., Anderson, E., Nghiem, S. V., Caquard, S., and Shabaneh, T.
B.: Flood warnings, flood disaster assessments, and flood hazard reduction: The
roles of orbital remote sensing, Jet Propulsion Laboratory, National Aeronautics
and Space Administration, Pasadena, CA, 2003. a
Brakenridge, G. R., Nghiem, S. V., Anderson, E., and Mic, R.: Orbital microwave
measurement of river discharge and ice status, Water Resour. Res., 43, W04405,
https://doi.org/10.1029/2006WR005238, 2007. a, b, c
Brakenridge, G. R., Cohen, S., Kettner, A. J., De Groeve, T., Nghiem, S. V.,
Syvitski, J. P., and Fekete, B. M.: Calibration of satellite measurements of
river discharge using a global hydrology model, J. Hydrol., 475, 123–136, 2012. a
Burkey, J.: A non-parametric monotonic trend test computing Mann–Kendall Tau,
Tau-b, and Sen's slope written in Mathworks-MATLAB implemented using matrix
rotations, http://www.mathworks.com/matlabcentral/fileexchange/authors/23983
(last access: 25 January 2016), 2006. a
Chandler, R. E. and Wheater, H. S.: Analysis of rainfall variability using
generalized linear models: a case study from the west of Ireland, Water Resour.
Res., 38, 1–11, https://doi.org/10.1029/2001WR000906, 2002. a
Cioffi, F., Conticello, F., and Lall, U.: Projecting changes in Tanzania rainfall
for the 21st century, Int. J. Climatol., 36, 4297–4314, 2016. a
Conticello, F., Cioffi, F., Merz, B., and Lall, U.: An event synchronization
method to link heavy rainfall events and large-scale atmospheric circulation
features, Int. J. Climatol., 38, 1421–1437, 2018. a
Dentener, F., Stevenson, D., Ellingsen, K. V., Van Noije, T., Schultz, M.,
Amann, M., Atherton, C., Bell, N., Bergmann, D., Bey, I., Bouwman, L., Butler,
T., Cofala, J., Collins, B., Drevet, J., Doherty, R., Eickhout, B., Eskes, H.,
Fiore, A., Gauss, M., Hauglustaine, D., Horowitz, L., Isaksen, I. S. A., Josse,
B., Lawrence, M., Krol, M., Lamarque, J. F., Montanaro, V., Müller, J. F.,
Peuch, V. H., Pitari, G., Pyle, J., Rast, S., Rodriguez, J., Sanderson, M.,
Savage, N. H., Shindell, D., Strahan, S., Szopa, S., Sudo, K., Van Dingenen, R.,
Wild, O., and Zeng, G.: The global atmospheric environment for the next generation,
Environ. Sci. Technol., 40, 3586–3594, 2006. a
Di Baldassarre, G., Montanari, A., Lins, H., Koutsoyiannis, D., Brandimarte,
L., and Blöschl, G.: Flood fatalities in Africa: from diagnosis to mitigation,
Geophys. Res. Lett., 37, L22402, https://doi.org/10.1029/2010GL045467, 2010. a
Do, H. X., Westra, S., and Leonard, M.: A global-scale investigation of trends
in annual maximum streamflow, J. Hydrol., 552, 28–43, https://doi.org/10.1016/j.jhydrol.2017.06.015, 2017. a
Doherty, R., Kutzbach, J., Foley, J., and Pollard, D.: Fully coupled
climate/dynamical vegetation model simulations over Northern Africa during the
mid-Holocene, Clim. Dynam., 16, 561–573, 2000. a
ELC: The Environmental Literacy Council, https://enviroliteracy.org/,
last access: 12 June 2015. a
Emerton, R., Cloke, H., Stephens, E., Zsoter, E., Woolnough, S., and Pappenberger,
F.: Complex picture for likelihood of ENSO-driven flood hazard, Nat. Commun.,
8, 1–9, https://doi.org/10.1038/ncomms14796, 2017. a
Enfield, D. B., Mestas-Nuñez, A. M., and Trimble, P. J.: The Atlantic
multidecadal oscillation and its relation to rainfall and river flows in the
continental US, Geophys. Res. Lett., 28, 2077–2080, 2001. a
Gabler, R. E., Petersen, J. F., Trapasso, L., and Sack, D.: Physical geography,
Nelson Education, Belmont, CA, 2008. a
Gao, L., Zhang, L., and Lu, M.: Characterizing the spatial variations and
correlations of large rainstorms for landslide study, Hydrol. Earth Syst. Sci.,
21, 4573–4589, https://doi.org/10.5194/hess-21-4573-2017, 2017. a
Glur, L., Wirth, S. B., Büntgen, U., Gilli, A., Haug, G. H., Schär, C.,
Beer, J., and Anselmetti, F. S.: Frequent floods in the European Alps coincide
with cooler periods of the past 2500 years, Scient. Rep., 3, 2770, https://doi.org/10.1038/srep02770, 2013. a
Groisman, P. Y., Knight, R. W., Easterling, D. R., Karl, T. R., Hegerl, G. C.,
and Razuvaev, V. N.: Trends in intense precipitation in the climate record, J.
Climate, 18, 1326–1350, 2005. a
Guha-Sapir, D., Below, R., and Hoyois, P.: EM-DAT: The CRED, OFDA International
Disaster Database, Université Catholique de Louvain, Brussels, Belgium,
http://www.emdat.be, last access: 1 March 2016. a
Halgamuge, M. N. and Nirmalathas, T.: Analysis of Large Flood Events: Based on
Flood Data During 1985–2016 in Australia and India, Int. J. Disast. Risk Reduct.,
24, 1–11, https://doi.org/10.1016/j.ijdrr.2017.05.011, 2017. a
Hall, J., Arheimer, B., Borga, M., Brázdil, R., Claps, P., Kiss, A., Kjeldsen,
T. R., Kriauciuniene, J., Kundzewicz, Z. W., Lang, M., Llasat, M. C., Macdonald,
N., McIntyre, N., Mediero, L., Merz, B., Merz, R., Molnar, P., Montanari, A.,
Neuhold, C., Parajka, J., Perdigão, R. A. P., Plavcová, L., Rogger, M.,
Salinas, J. L., Sauquet, E., Schär, C., Szolgay, J., Viglione, A., and
Blöschl, G.: Understanding flood regime changes in Europe: a state-of-the-art
assessment, Hydrol. Earth Syst. Sci., 18, 2735–2772, https://doi.org/10.5194/hess-18-2735-2014, 2014. a, b
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future flood
losses in major coastal cities, Nat. Clim. Change, 3, 802–806, 2013. a
Hampel, F. R.: The influence curve and its role in robust estimation, J. Am.
Stat. Assoc., 69, 383–393, 1974. a
Hashimoto, T., Stedinger, J. R., and Loucks, D. P.: Reliability, resiliency,
and vulnerability criteria for water resource system performance evaluation,
Water Resour. Res., 18, 14–20, 1982. a
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D.,
Watanabe, S., Kim, H., and Kanae, S.: Global flood risk under climate change,
Nat. Clim. Change, 3, 816–821, 2013. a
Hirsch, R.: Statistical Methods in Water Resources. Studies in Environmental
Science, Elsevier Science & Technology, New York, NY, 1992. a
Hodgkins, G. A., Whitfield, P. H., Burn, D. H., Hannaford, J., Renard, B., Stahl,
K., Fleig, A. K., Madsen, H., Mediero, L., Korhonen, J., Murphy, C., and Wilson,
D.: Climate-driven variability in the occurrence of major floods across North
America and Europe, J. Hydrol., 552, 704–717, 2017. a
Holling, C. S.: Myth of Ecological Stability: Resilience and the Problem of
Failure, Stud. Crisis Manage., 4, 97–109, 1978. a
Hurrell, J. W. and Van Loon, H.: Decadal variations in climate associated with
the North Atlantic Oscillation, in: Climatic Change at High Elevation Sites,
Springer, Norwell, MA, 69–94, 1997. a
Karamperidou, C., Cane, M. A., Lall, U., and Wittenberg, A. T.: Intrinsic
modulation of ENSO predictability viewed through a local Lyapunov lens, Clim.
Dynam., 42, 253–270, 2014. a
Kendall, M. G.: Rank correlation methods, Oxford, England, 1948. a
Koirala, S., Hirabayashi, Y., Mahendran, R., and Kanae, S.: Global assessment
of agreement among streamflow projections using CMIP5 model outputs, Environ.
Res. Lett., 9, 064017, https://doi.org/10.1088/1748-9326/9/6/064017, 2014. a
Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J., Nicholls, N.,
Peduzzi, P., Mechler, R., Bouwer, L. M., Arnell, N., Mach, K., Muir-Wood, R.,
Brakenridge, R. G., Kron, W., Benito, G., Honda, Y., Takahashi, K., and
Sherstyukov, B.: Flood risk and climate change: global and regional perspectives,
Hydrolog. Sci. J., 59, 1–28, 2014. a, b
Kundzewicz, Z. W., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S.,
Hattermann, F., Huang, S., Milly, P., Stoffel, M., Driessen, P., Matczak, P.,
Quevauviller, P., and Schellnhuber, H. J.: Differences in flood hazard projections
in Europe – their causes and consequences for decision making, Hydrolog. Sci.
J., 62, 1–14, 2017a. a
Kundzewicz, Z. W., Pińskwar, I., and Brakenridge, G. R.: Changes in river
flood hazard in Europe: a review, Hydrol. Res., 49, 294–302, https://doi.org/10.2166/nh.2017.016, 2017b. a
Lehmann, J., Coumou, D., and Frieler, K.: Increased record-breaking precipitation
events under global warming, Climatic Change, 132, 501–515, 2015. a
Leys, C., Ley, C., Klein, O., Bernard, P., and Licata, L.: Detecting outliers:
Do not use standard deviation around the mean, use absolute deviation around
the median, J. Exp. Social Psychol., 49, 764–766, 2013. a
Liu, C. and Zipser, E. J.: The global distribution of largest, deepest, and
most intense precipitation systems, Geophys. Res. Lett., 42, 3591–3595, 2015. a
Liu, X., Liu, Z., Zhang, Y., and Jiang, B.: The Effects of Floods on the
Incidence of Bacillary Dysentery in Baise (Guangxi Province, China) from 2004
to 2012, Int. J. Environ. Res. Publ. Health, 14, 179, https://doi.org/10.3390/ijerph14020179, 2017. a
Lowe, D., Ebi, K. L., and Forsberg, B.: Factors increasing vulnerability to
health effects before, during and after floods, Int. J. Environ. Res. Publ.
Health, 10, 7015–7067, 2013. a
Lu, M. and Hao, X.: Diagnosis of the Tropical Moisture Exports to the
Mid-Latitudes and the Role of Atmospheric Steering in the Extreme Precipitation,
Atmosphere, 8, 256, https://doi.org/10.3390/atmos8120256, 2017. a
Lu, M. and Lall, U.: Tropical Moisture Exports, Extreme Precipitation and
Floods in Northeastern US, Earth Sci. Res., 6, 91–111, https://doi.org/10.5539/esr.v6n2p91, 2017. a
Lu, M., Lall, U., Schwartz, A., and Kwon, H.: Precipitation predictability
associated with tropical moisture exports and circulation patterns for a major
flood in France in 1995, Water Resour. Res., 49, 6381–6392, 2013. a
Meals, D., Spooner, J., Dressing, S., and Harcum, J.: Statistical analysis for
monotonic trends, Tech. Notes, 6, 1–23, 2011. a
Merz, B., Vorogushyn, S., Uhlemann, S., Delgado, J., and Hundecha, Y.: HESS
Opinions “More efforts and scientific rigour are needed to attribute trends in
flood time series”, Hydrol. Earth Syst. Sci., 16, 1379–1387, https://doi.org/10.5194/hess-16-1379-2012, 2012. a, b
Merz, B., Aerts, J., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A.,
Blöschl, G., Bouwer, L. M., Brauer, A., Cioffi, F., Delgado, J. M., Gocht,
M., Guzzetti, F., Harrigan, S., Hirschboeck, K., Kilsby, C., Kron, W., Kwon,
H.-H., Lall, U., Merz, R., Nissen, K., Salvatti, P., Swierczynski, T., Ulbrich,
U., Viglione, A., Ward, P. J., Weiler, M., Wilhelm, B., and Nied, M.: Floods and
climate: emerging perspectives for flood risk assessment and management, Nat.
Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, 2014. a
Milojevic, A., Armstrong, B., Kovats, S., Butler, B., Hayes, E., Leonardi, G.,
Murray, V., and Wilkinson, P.: Long-term effects of flooding on mortality in
England and Wales, 1994–2005: controlled interrupted time-series analysis,
Environ. Health, 10, 1–9, https://doi.org/10.1186/1476-069X-10-11, 2011. a
Min, S.-K., Zhang, X., Zwiers, F. W., and Hegerl, G. C.: Human contribution to
more-intense precipitation extremes, Nature, 470, 378–381, 2011. a
Mirza, M. M. Q.: Climate change and extreme weather events: can developing
countries adapt?, Climate Policy, 3, 233–248, 2003. a
Moftakhari, H. R., AghaKouchak, A., Sanders, B. F., and Matthew, R. A.:
Cumulative hazard: The case of nuisance flooding, Earth's Future, 5, 214–223, 2017. a
Nakamura, J., Lall, U., Kushnir, Y., Robertson, A. W., and Seager, R.: Dynamical
structure of extreme floods in the US Midwest and the United Kingdom, J.
Hydrometeorol., 14, 485–504, 2013. a
Peduzzi, P., Dao, H., Herold, C., and Mouton, F.: Assessing global exposure and
vulnerability towards natural hazards: the Disaster Risk Index, Nat. Hazards
Earth Syst. Sci., 9, 1149–1159, https://doi.org/10.5194/nhess-9-1149-2009, 2009. a
Peduzzi, P., Herold, C., Mouton, F., Dao, H., Gregory, G., and Chatenoux, B.:
Global human exposure to flood hazard, http://preview.grid.unep.ch (last
access: 25 January 2016), 2011. a
Perdigão, R. and Blöschl, G.: Dynamics of the flood response to
slow–fast landscape–climate feedbacks, Proc. Int. Assoc. Hydrolog. Sci.,
370, 125–130, 2015. a
Portmann, R. W., Solomon, S., and Hegerl, G. C.: Spatial and seasonal patterns
in climate change, temperatures, and precipitation across the United States,
P. Natl. Acad. Sci. USA, 106, 7324–7329, 2009. a
Promchote, P., Simon Wang, S.-Y., and Johnson, P. G.: The 2011 great flood in
Thailand: Climate diagnostics and Implications from climate change, J. Climate,
29, 367–379, 2016. a
Rayner, N., Parker, D. E., Horton, E., Folland, C., Alexander, L., Rowell, D.,
Kent, E., and Kaplan, A.: Global analyses of sea surface temperature, sea ice,
and night marine air temperature since the late nineteenth century, J. Geophys.
Res.-Atmos., 108, 4407, https://doi.org/10.1029/2002JD002670, 2003. a
Robertson, A. W., Kushnir, Y., Lall, U., and Nakamura, J.: On the connection
between low-frequency modulation of large-scale weather regimes and springtime
extreme flooding over the midwest of the United States, Science and Technology
Infusion Climate Bulletin, Fort Worth, TX, USA, 150–152, 2011. a
Sachs, L.: Applied statistics: a handbook of techniques, Springer Science & Business
Media, New York, NY, 2012. a
Schiermeier, Q.: Increased flood risk linked to global warming: likelihood of
extreme rainfall may have been doubled by rising greenhouse-gas levels, Nature,
470, 316–317, 2011. a
Schultz, B.: Flood management under rapid urbanisation and industrialisation in
flood-prone areas: a need for serious consideration, Irrig. Drain., 55, S3–S8,
https://doi.org/10.1002/ird.237, 2006. a
Singh, A. and Zommers, Z. (Eds.): Reducing Disaster: Early Warning Systems For
Climate Change, Springer Netherlands, the Netherlands, 2014. a
Stevens, A. J., Clarke, D., and Nicholls, R. J.: Trends in reported flooding in
the UK: 1884–2013, Hydrolog. Sci. J., 61, 50–63, 2016. a
Thenkabail, P. S.: Remotely Sensed Data Characterization, Classification, and
Accuracies, CRC Press, Boca Raton, FL, 2015. a
Thomalla, F., Downing, T., Spanger-Siegfried, E., Han, G., and Rockström,
J.: Reducing hazard vulnerability: towards a common approach between disaster
risk reduction and climate adaptation, Disasters, 30, 39–48, 2006. a
Trenberth, K. E.: Atmospheric moisture recycling: Role of advection and local
evaporation, J. Climate, 12, 1368–1381, 1999. a
Trenberth, K. E.: Changes in precipitation with climate change, Clim. Res.,
47, 123–138, 2011. a
Trenberth, K. E., Dai, A., Rasmussen, R. M., and Parsons, D. B.: The changing
character of precipitation, B. Am. Meteorol. Soc., 84, 1205–1217, 2003. a
Trenberth, K. E., Smith, L., Qian, T., Dai, A., and Fasullo, J.: Estimates of
the global water budget and its annual cycle using observational and model data,
J. Hydrometeorol., 8, 758–769, 2007. a
Van Dijk, A. I., Brakenridge, G. R., Kettner, A. J., Beck, H. E., De Groeve, T.,
and Schellekens, J.: River gauging at global scale using optical and passive
microwave remote sensing, Water Resour. Res., 52, 6404–6418, 2016. a
Vogel, R. M., Yaindl, C., and Walter, M.: Nonstationarity: Flood magnification
and recurrence reduction factors in the United States, J. Am. Water Resour.
Assoc., 47, 464–474, 2011. a
Walker, C. C. and Schneider, T.: Response of idealized Hadley circulations to
seasonally varying heating, Geophys. Res. Lett., 32, L06813, https://doi.org/10.1029/2004GL022304, 2005. a
Ward, P. J., Jongman, B., Salamon, P., Simpson, A., Bates, P., De Groeve, T.,
Muis, S., De Perez, E. C., Rudari, R., Trigg, M. A., and Winsemius, H. C.:
Usefulness and limitations of global flood risk models, Nat. Clim. Change,
5, 712–715, 2015. a
Westra, S., Alexander, L. V., and Zwiers, F. W.: Global increasing trends in
annual maximum daily precipitation, J. Climate, 26, 3904–3918, 2013. a
Wu, H., Adler, R. F., Hong, Y., Tian, Y., and Policelli, F.: Evaluation of global
flood detection using satellite-based rainfall and a hydrologic model, J.
Hydrometeorol., 13, 1268–1284, 2012. a
Wu, H., Adler, R. F., Tian, Y., Huffman, G. J., Li, H., and Wang, J.: Real-time
global flood estimation using satellite-based precipitation and a coupled land
surface and routing model, Water Resour. Res., 50, 2693–2717, 2014. a
Yang, C., Chandler, R., Isham, V., and Wheater, H.: Spatial-temporal rainfall
simulation using generalized linear models, Water Resour. Res., 41, W11415,
https://doi.org/10.1029/2004WR003739, 2005. a
Yu, L., Zhong, S., Pei, L., Bian, X., and Heilman, W. E.: Contribution of
large-scale circulation anomalies to changes in extreme precipitation frequency
in the United States, Environ. Res. Lett., 11, 044003, https://doi.org/10.1088/1748-9326/11/4/044003, 2016. a
Zappa, G., Hawcroft, M. K., Shaffrey, L., Black, E., and Brayshaw, D. J.:
Extratropical cyclones and the projected decline of winter Mediterranean
precipitation in the CMIP5 models, Clim. Dynam., 45, 1727–1738, 2015. a
Zhai, J. and Boos, W.: Regime transitions of cross-equatorial Hadley circulations
with zonally asymmetric thermal forcings, J. Atmos. Sci., 72, 3800–3818, 2015. a
Zhang, Y., Wallace, J. M., and Battisti, D. S.: ENSO-like interdecadal
variability: 1900–93, J. climate, 10, 1004–1020, 1997. a
Ziegler, A. D., Lim, H. S., Tantasarin, C., Jachowski, N. R., and Wasson, R.:
Floods, false hope, and the future, Hydrol. Process., 26, 1748–1750, 2012. a
Short summary
A global assessment of flood events using the Dartmouth Flood Observatory (DFO) database is performed here to explore the planetary nature of the trends in the frequency and duration of floods (short, moderate, and long). This comprehensive study is the very first global study of
actual flood eventswhich identifies temporal changes in frequencies and characteristics of probability distribution of flood durations to understand the changing organization of the local to global dynamical systems.
A global assessment of flood events using the Dartmouth Flood Observatory (DFO) database is...
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