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EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Report and delivery of a draft framework for event definition developed in collaboration with stakeholders

(Task 2.1) This report will provide clear guidance and principles on how to define an event to be considered in an attribution study that is on one hand closely related to what actually caused the damages and thus societies are vulnerable to and on the other hand can in principle be simulated using state-of-the-art climate models. Given the diverse nature of damages, societies and stakeholders as well as hazards there will be no strict framework, but instead a set of principles that allows flexibility with respect to divers vulnerabilities and stakeholder needs.

Report on joint activities with other EU projects

[Task 1.3] This report will describe the common activities that have took place at M18 with other EU. We envisage in particular a strong link with the C3S, and the H2020 EUCP project. We will report also on common activities with parallel projects of the same call.

List of high precipitation and flood events for the present and future periods

"By using the available observations and survey a list of high precipitation and flood events will be compiled. For hurricanes we will largely rely on the HURDAT database available at https://www.nhc.noaa.gov/data/#hurdat. A similar list will be done for the events detected and not by the CP models in present and future scenario simulations. (from Task 8.1)"

Report on the Summer training school

Report on the Summer training school. The report will include in particular the programme, the training exercises, the number of participant, an evaluation from participating students and young researchers. [Task 1.2]

Report detailing and collating databases of impacts, vulnerability and exposure relevant to extreme weather events

(Task 2.2) This report will provide an overview of currently available data and crucially highlight gaps in the data available to truly learn from past extreme events. This will consist of hazard data as well as data on damages, economic and non-economic but also other determinants of vulnerability, like population structure and changes. Ultimately allowing stakeholders to assess physical, transition and liability risks.

Value promotion plan

A plan for promoting various values from the promotion committee (recruitment, climate and environment fairness, communication, ethics)

Project website

The website will target both the scientific community and the large public and updated on a regular basis.

Open source code for detection and characterization of spatio-temporal extreme events

(Task 3.2) An open source toolbox based on spatio-temporal deep learning architectures will be deployed with tunable parameterizations and training modules. Several examples of use will be included to deal with (i) detection and (ii) characterization of extremes. A Jupyter notebook will exemplify tools, tuning and applications in control scenarios, aimed to serve adoption by other members of the consortium (inside WP3 and in collaborations with WP4 and WP7). This deliverable will be also accompanied by a report on the theoretical underpinnings and limitations of the proposed methods in terms of computational efficiency, automatism and robustness (to noise and dimensionality).

Publikacje

How can event attribution science underpin financial decisions on Loss and Damage?

Autorzy: Dim Coumou, Paola A Arias, Ana Bastos, Charlotte Kendra Gotangco Gonzales, Gabriele C Hegerl, Pandora Hope, Christopher Jack, Friederike Otto, Fahad Saeed, Olivia Serdeczny, Theodore G Shepherd, Robert Vautard
Opublikowane w: PNAS Nexus, Numer 3, 2024, ISSN 2752-6542
Wydawca: Oxford University Press
DOI: 10.1093/pnasnexus/pgae277

Direct and lagged climate change effects intensified the 2022 European drought

Autorzy: Emanuele Bevacqua, Oldrich Rakovec, Dominik L. Schumacher, Rohini Kumar, Stephan Thober, Luis Samaniego, Sonia I. Seneviratne, Jakob Zscheischler
Opublikowane w: Nature Geoscience, Numer 17, 2024, Strona(/y) 1100-1107, ISSN 1752-0894
Wydawca: Nature Publishing Group
DOI: 10.1038/s41561-024-01559-2

Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales

Autorzy: Chiem van Straaten, Dim Coumou, Kirien Whan, Bart van den Hurk, Maurice Schmeits
Opublikowane w: Weather and Climate Dynamics, 2025, Strona(/y) 887–903, ISSN 2698-4016
Wydawca: Copernicus Publications
DOI: 10.5194/wcd-2023-6

Attributing Venice Acqua Alta events to a changing climate and evaluating the efficacy of MoSE adaptation strategy

Autorzy: Davide Faranda, Mireia Ginesta, Tommaso Alberti, Erika Coppola, Marco Anzidei
Opublikowane w: npj Climate and Atmospheric Science, Numer 6, 2024, ISSN 2397-3722
Wydawca: Springer Nature
DOI: 10.1038/s41612-023-00513-0

Discovering causal relations and equations from data

Autorzy: Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
Opublikowane w: Physics Reports, Numer 1044, 2024, Strona(/y) 1-68, ISSN 0370-1573
Wydawca: Elsevier BV
DOI: 10.1016/j.physrep.2023.10.005

Soil heat extremes can outpace air temperature extremes

Autorzy: Almudena García-García, Francisco José Cuesta-Valero, Diego G. Miralles, Miguel D. Mahecha, Johannes Quaas, Markus Reichstein, Jakob Zscheischler, Jian Peng
Opublikowane w: Nature Climate Change, Numer 13, 2023, Strona(/y) 1237-1241, ISSN 1758-678X
Wydawca: Nature Publishing Group
DOI: 10.1038/s41558-023-01812-3

Simulating the Western North America heatwave of 2021 with analogue importance sampling

Autorzy: Flavio Maria Emanuele Pons, Pascal Yiou, Aglaé Jézéquel, Gabriele Messori
Opublikowane w: Weather and Climate Extremes, Numer 43, 2024, Strona(/y) 100651, ISSN 2212-0947
Wydawca: Elsevier BV
DOI: 10.1016/j.wace.2024.100651

A joint framework for studying compound ecoclimatic events

Autorzy: Ana Bastos, Sebastian Sippel, Dorothea Frank, Miguel D. Mahecha, Sönke Zaehle, Jakob Zscheischler, Markus Reichstein
Opublikowane w: Nature Reviews Earth & Environment, Numer 4, 2023, Strona(/y) 333-350, ISSN 2662-138X
Wydawca: Springer Nature
DOI: 10.1038/s43017-023-00410-3

Guidelines for Studying Diverse Types of Compound Weather and Climate Events

Autorzy: Bevacqua, E., De Michele, C., Manning, C., Couasnon, A., Ribeiro, A. F. S., Ramos, A. M., Vignotto, E., Bastos, A., Blesić, S., Durante, F., Hillier, J., Oliveira, S. C., Pinto, J. G., Ragno, E., Rivoire, P., Saunders, K., van der Wiel, K., Wu, W., Zhang, T., Zscheischler, J.
Opublikowane w: Earth's Future, 2022, ISSN 2328-4277
Wydawca: John Wiley & Sons, Ltd
DOI: 10.1029/2021ef002340

Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss

Autorzy: Jun Li, Emanuele Bevacqua, Zhaoli Wang, Stephen Sitch, Vivek Arora, Almut Arneth, Atul K. Jain, Daniel Goll, Hanqin Tian, Jakob Zscheischler
Opublikowane w: Communications Earth & Environment, Numer 4, 2023, ISSN 2662-4435
Wydawca: Nature Portfolio
DOI: 10.1038/s43247-023-00869-4

Record events attribution in climate studies

Autorzy: Julien Worms, Philippe Naveau
Opublikowane w: Environmetrics, Numer Volume 33, Numer 8, 2022, ISSN 1180-4009
Wydawca: John Wiley & Sons Inc.
DOI: 10.1002/env.2777

Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning

Autorzy: T. Happé, J. S. Wijnands, M. Á. Fernández-Torres, P. Scussolini, L. Muntjewerf, D. Coumou
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 3, 2024, ISSN 2769-7525
Wydawca: American Meteorology Society
DOI: 10.1175/aies-d-23-0107.1

Human influences on spatially compounding flooding and heatwave events in China and future increasing risks

Autorzy: Cheng Qian, Yangbo Ye, Emanuele Bevacqua, Jakob Zscheischler
Opublikowane w: Weather and Climate Extremes, Numer 42, 2024, Strona(/y) 100616, ISSN 2212-0947
Wydawca: Elsevier BV
DOI: 10.1016/j.wace.2023.100616

Classification of tropical cyclone containing images using a convolutional neural network: performance and sensitivity to the learning dataset

Autorzy: Olivier Boucher; Sébastien Gardoll
Opublikowane w: Geoscientific Model Development, Numer 15, 2022, Strona(/y) 7051-7073, ISSN 1991-9603
Wydawca: Copernicus Publications
DOI: 10.5194/gmd-15-7051-2022

Circulation dampened heat extremes intensification over the Midwest USA and amplified over Western Europe

Autorzy: Jitendra Singh, Sebastian Sippel, Erich M. Fischer
Opublikowane w: Communications Earth & Environment, Numer 4, 2023, ISSN 2662-4435
Wydawca: Springer Nature
DOI: 10.1038/s43247-023-01096-7

Early snowmelt and polar jet dynamics co–influence recent extreme Siberian fire seasons

Autorzy: Rebecca C. Scholten, Dim Coumou, Fei Luo, and Sander Veraverbeke
Opublikowane w: Science, Numer Vol 378, Numer 6623, 2022, Strona(/y) 1005-1009, ISSN 0036-8075
Wydawca: American Association for the Advancement of Science
DOI: 10.1126/science.abn4419

Harbingers of decades of unnatural disasters

Autorzy: Friederike E. L. Otto, Emmanuel Raju
Opublikowane w: Communications Earth & Environment, Numer 4, 2023, ISSN 2662-4435
Wydawca: Springer Nature
DOI: 10.1038/s43247-023-00943-x

The AIDE Toolbox: Artificial intelligence for disentangling extreme events [Software and Data Sets]

Autorzy: Maria Gonzalez-Calabuig, Jordi Cortés-Andrés, Tristan Keith Ellis Williams, Mengxue Zhang, Oscar Jose Pellicer-Valero, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Opublikowane w: IEEE Geoscience and Remote Sensing Magazine, Numer 12, 2024, Strona(/y) 113-118, ISSN 2168-6831
Wydawca: IEEE Geosciene and Remote Sensing Society
DOI: 10.1109/mgrs.2024.3382544

Formally combining different lines of evidence in extreme-event attribution

Autorzy: Friederike E. L. Otto, Clair Barnes, Sjoukje Philip, Sarah Kew, Geert Jan van Oldenborgh, Robert Vautard
Opublikowane w: Advances in Statistical Climatology, Meteorology and Oceanography, Numer 10, 2024, Strona(/y) 159-171, ISSN 2364-3587
Wydawca: Copernicus Publications
DOI: 10.5194/ascmo-10-159-2024

Exploring interactions between socioeconomic context and natural hazards on human population displacement

Autorzy: Michele Ronco, José María Tárraga, Jordi Muñoz, María Piles, Eva Sevillano Marco, Qiang Wang, Maria Teresa Miranda Espinosa, Sylvain Ponserre, Gustau Camps-Valls
Opublikowane w: Nature Communications, Numer 14, 2023, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-023-43809-8

Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science

Autorzy: Philine Lou Bommer, Marlene Kretschmer, Anna Hedström, Dilyara Bareeva, Marina M.-C. Höhne
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 3, 2024, ISSN 2769-7525
Wydawca: American MEteorology Society
DOI: 10.1175/aies-d-23-0074.1

How could 50 °C be reached in Paris: Analyzing the CMIP6 ensemble to design storylines for adaptation

Autorzy: Pascal Yiou, Robert Vautard, Yoann Robin, Nathalie de Noblet-Ducoudré, Fabio D’Andrea, Robin Noyelle
Opublikowane w: Climate Services, Numer 36, 2024, Strona(/y) 100518, ISSN 2405-8807
Wydawca: Elsevier
DOI: 10.1016/j.cliser.2024.100518

Skillful U.S. Soy Yield Forecasts at Presowing Lead Times

Autorzy: Sem Vijverberg, Raed Hamed, Dim Coumou
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 2, 2025, ISSN 2769-7525
Wydawca: American Meteorology Society
DOI: 10.1175/aies-d-21-0009.1

Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change

Autorzy: Iris Elisabeth de Vries; Sebastian Sippel; Angeline Greene Pendergrass; Reto Knutti
Opublikowane w: Earth System Dynamics, Numer 14, 2023, Strona(/y) 81-100, ISSN 2190-4987
Wydawca: Copernicus Publications
DOI: 10.5194/esd-14-81-2023

Advancing research on compound weather and climate events via large ensemble model simulations

Autorzy: Emanuele Bevacqua, Laura Suarez-Gutierrez, Aglaé Jézéquel, Flavio Lehner, Mathieu Vrac, Pascal Yiou, Jakob Zscheischler
Opublikowane w: Nature Communications, Numer 14, 2023, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-023-37847-5

Time of emergence of compound events: contribution of univariate and dependence properties

Autorzy: Bastien François, Mathieu Vrac
Opublikowane w: Natural Hazards and Earth System Sciences, Numer 23, 2025, Strona(/y) 21-44, ISSN 1684-9981
Wydawca: Copernicus Publications
DOI: 10.5194/nhess-23-21-2023

Heat extremes linearly shift with global warming, with frequency doubling per decade since 1979

Autorzy: Robert Vautard, Clair Barnes, Sjoukje Philip, Sarah Kew, Izidine Pinto, Friederieke E L Otto
Opublikowane w: Environmental Research Letters, Numer 19, 2024, Strona(/y) 094033, ISSN 1748-9326
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1748-9326/ad63be

Biodiversity and Climate Extremes: Known Interactions and Research Gaps

Autorzy: M. D. Mahecha, A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse‐Los, M. Migliavacca, F. E. L. Otto, J. Peng, S. Sippel, I. Tegen, A. Weigelt, M. Wendisch, C. Wirth, D. Al‐Halbouni, H. Deneke, D. Doktor, S. Dunker, G. Duveiller, A. Ehrlich, A. Foth, A. García‐García, C. A. Guerra, C. Guimarães‐Steinicke, H. Hartmann, S. Henning, H. Herrmann, P. Hu, C. Ji, T. Kat
Opublikowane w: Earth's Future, Numer 12, 2024, ISSN 2328-4277
Wydawca: Wiley
DOI: 10.1029/2023ef003963

Dynamical footprints of Hurricanes in the Tropical Dynamics

Autorzy: Davide Faranda, Gabriele Messori, Pascal Yiou, Soulivanh Thao, Flavio Pons, Berengere Dubrulle
Opublikowane w: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022, ISSN 1054-1500
Wydawca: American Institute of Physics
DOI: 10.1063/5.0093732

Developing Low‐Likelihood Climate Storylines for Extreme Precipitation Over Central Europe

Autorzy: C. Gessner, E. M. Fischer, U. Beyerle, R. Knutti
Opublikowane w: Earth's Future, Numer 11, 2024, ISSN 2328-4277
Wydawca: Wiley
DOI: 10.1029/2023ef003628

Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods

Autorzy: N. Lafon, R. Fablet, P. Naveau
Opublikowane w: Journal of Advances in Modeling Earth Systems, Numer 15, 2023, ISSN 1942-2466
Wydawca: American Geophysical Union
DOI: 10.1029/2022ms003446

Precipitation trends determine future occurrences of compound hot–dry events

Autorzy: Bevacqua, E., Zappa, G., Lehner, F., Zscheischler, J.
Opublikowane w: Nature Climate Change, 2022, ISSN 1758-6798
Wydawca: Springer Nature
DOI: 10.1038/s41558-022-01309-5

ClimaMeter: contextualizing extreme weather in a changing climate

Autorzy: Davide Faranda, Gabriele Messori, Erika Coppola, Tommaso Alberti, Mathieu Vrac, Flavio Pons, Pascal Yiou, Marion Saint Lu, Andreia N. S. Hisi, Patrick Brockmann, Stavros Dafis, Gianmarco Mengaldo, Robert Vautard
Opublikowane w: Weather and Climate Dynamics, Numer 5, 2024, Strona(/y) 959-983, ISSN 2698-4016
Wydawca: Copernicus Publications
DOI: 10.5194/wcd-5-959-2024

Detecting the human fingerprint in the summer 2022 western–central European soil drought

Autorzy: Dominik L. Schumacher, Mariam Zachariah, Friederike Otto, Clair Barnes, Sjoukje Philip, Sarah Kew, Maja Vahlberg, Roop Singh, Dorothy Heinrich, Julie Arrighi, Maarten van Aalst, Mathias Hauser, Martin Hirschi, Verena Bessenbacher, Lukas Gudmundsson, Hiroko K. Beaudoing, Matthew Rodell, Sihan Li, Wenchang Yang, Gabriel A. Vecchi, Luke J. Harrington, Flavio Lehner, Gianpaolo Balsamo, Sonia I. Senevi
Opublikowane w: Earth System Dynamics, Numer 15, 2024, Strona(/y) 131-154, ISSN 2190-4987
Wydawca: Copernicus Publications
DOI: 10.5194/esd-15-131-2024

Attributing Compound Events to Anthropogenic Climate Change

Autorzy: Jakob Zscheischler, Flavio Lehner
Opublikowane w: Bulletin of the American Meteorological Society, Numer Volume 103, Numer 3, 2022, Strona(/y) E936–E953, ISSN 0003-0007
Wydawca: American Meteorological Society
DOI: 10.1175/bams-d-21-0116.1

Combinations of drivers that most favor the occurrence of daily precipitation extremes

Autorzy: Luis Gimeno-Sotelo, Emanuele Bevacqua, Luis Gimeno
Opublikowane w: Atmospheric Research, Numer 294, 2023, Strona(/y) 106959, ISSN 0169-8095
Wydawca: Elsevier BV
DOI: 10.1016/j.atmosres.2023.106959

Combining climate models and observations to predict the time remaining until regional warming thresholds are reached

Autorzy: Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Opublikowane w: Environmental Research Letters, Numer 20, 2024, Strona(/y) 014008, ISSN 1748-9326
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1748-9326/ad91ca

Climate change increased extreme monsoon rainfall, flooding highly vulnerable communities in Pakistan

Autorzy: Friederike E L Otto, Mariam Zachariah, Fahad Saeed, Ayesha Siddiqi, Shahzad Kamil, Haris Mushtaq, T Arulalan, Krishna AchutaRao, S T Chaithra, Clair Barnes, Sjoukje Philip, Sarah Kew, Robert Vautard, Gerbrand Koren, Izidine Pinto, Piotr Wolski, Maja Vahlberg, Roop Singh, Julie Arrighi, Maarten van Aalst, Lisa Thalheimer, Emmanuel Raju, Sihan Li, Wenchang Yang, Luke J Harrington, Ben Clarke
Opublikowane w: Environmental Research: Climate, Numer 2, 2023, Strona(/y) 025001, ISSN 2752-5295
Wydawca: IOP Science
DOI: 10.1088/2752-5295/acbfd5

Causality and the fate of climate litigation: The Role of the social Superstructure Narrative

Autorzy: Friederike E. L. Otto; Petra Minnerop; Emmanuel Raju; Luke J. Harrington; Rupert F. Stuart‐Smith; Emily Boyd; Rachel James; Richard Jones; Kristian C. Lauta
Opublikowane w: Global Policies, Numer Volume 13, Numer 5, 2022, Strona(/y) 623-833, ISSN 1758-5880
Wydawca: John Wiley and Sons Ltd
DOI: 10.1111/1758-5899.13113

Reconstruction of zonal precipitation from sparse historical observations using climate model information and statistical learning

Autorzy: Egli, M., Sippel, S., Pendergrass, A. G., de Vries, I., & Knutti, R.
Opublikowane w: Geophysical Research Letters, Numer 49, 2022, ISSN 0094-8276
Wydawca: American Geophysical Union
DOI: 10.1029/2022gl099826

Regional asymmetry in the response of global vegetation growth to springtime compound climate events

Autorzy: Jun Li; Emanuele Bevacqua; Chi Chen; Zhaoli Wang; Xiaohong Chen; Ranga B. Myneni; Xushu Wu; Chong-Yu Xu; Zhenxing Zhang; Jakob Zscheischler
Opublikowane w: Communications Earth & Environment, Numer 3;123, 2022, ISSN 2662-4435
Wydawca: Communications Earth & Environment
DOI: 10.1038/s43247-022-00455-0

Exacerbated summer European warming not captured by climate models neglecting long-term aerosol changes

Autorzy: Dominik L. Schumacher, Jitendra Singh, Mathias Hauser, Erich M. Fischer, Martin Wild, Sonia I. Seneviratne
Opublikowane w: Communications Earth & Environment, Numer 5, 2024, ISSN 2662-4435
Wydawca: Springer Nature
DOI: 10.1038/s43247-024-01332-8

Identifying probabilistic weather regimes targeted to a local-scale impact variable

Autorzy: Fiona R. Spuler, Marlene Kretschmer, Yevgeniya Kovalchuk, Magdalena Alonso Balmaseda, Theodore G. Shepherd
Opublikowane w: Environmental Data Science, Numer 3, 2025, ISSN 2634-4602
Wydawca: Cambridge University Press
DOI: 10.1017/eds.2024.29

Deep Learning With Noisy Labels for Spatiotemporal Drought Detection

Autorzy: Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Opublikowane w: IEEE Transactions on Geoscience and Remote Sensing, Numer 62, 2024, Strona(/y) 1-13, ISSN 0196-2892
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2024.3504340

Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

Autorzy: Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, Maurice Schmeits
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 2, 2025, Strona(/y) 1-21, ISSN 2769-7525
Wydawca: American Meteorology Society
DOI: 10.1175/aies-d-22-0047.1

Heat extremes in Western Europe increasing faster than simulated due to atmospheric circulation trends

Autorzy: Robert Vautard, Julien Cattiaux, Tamara Happé, Jitendra Singh, Rémy Bonnet, Christophe Cassou, Dim Coumou, Fabio D’Andrea, Davide Faranda, Erich Fischer, Aurélien Ribes, Sebastian Sippel, Pascal Yiou
Opublikowane w: Nature Communications, Numer 14, 2024, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-023-42143-3

Strong Linkage Between Observed Daily Precipitation Extremes and Anthropogenic Emissions Across the Contiguous United States

Autorzy: J. S. Nanditha, Gabriele Villarini, Hanbeen Kim, Philippe Naveau
Opublikowane w: Geophysical Research Letters, Numer 51, 2024, ISSN 0094-8276
Wydawca: American Geophysical Union
DOI: 10.1029/2024gl109553

Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

Autorzy: Stefano Materia, Lluís Palma García, Chiem van Straaten, Sungmin O, Antonios Mamalakis, Leone Cavicchia, Dim Coumou, Paolo de Luca, Marlene Kretschmer, Markus Donat
Opublikowane w: WIREs Climate Change, Numer 15, 2024, ISSN 1757-7780
Wydawca: John Wiley & Sons Inc.
DOI: 10.1002/wcc.914

High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalized extreme value distributions

Autorzy: Pauline Rivoire, Philomène Le Gall, Anne-Catherine Favre, Philippe Naveau, Olivia Martius
Opublikowane w: Weather and Climate Extremes, Numer Volume 38, 2022, ISSN 2212-0947
Wydawca: Elsevier BV
DOI: 10.1016/j.wace.2022.100500

Decadal to centennial extreme precipitation disaster gaps — Long-term variability and implications for extreme value modelling

Autorzy: Joel Zeder, Erich M. Fischer
Opublikowane w: Weather and Climate Extremes, Numer 43, 2024, Strona(/y) 100636, ISSN 2212-0947
Wydawca: Elsevier BV
DOI: 10.1016/j.wace.2023.100636

A climate-change attribution retrospective of some impactful weather extremes of 2021

Autorzy: Faranda, D., Bourdin, S., Ginesta, M., Krouma, M., Messori, G., Noyelle, R., Pons, F., and Yiou, P.
Opublikowane w: Weather and Climate Dynamics, Numer 3, 1311–1340, 2022, 2022, ISSN 2698-4016
Wydawca: Copernicus Publications
DOI: 10.5194/wcd-3-1311-2022

Storylines for unprecedented heatwaves based on ensemble boosting

Autorzy: E. M. Fischer, U. Beyerle, L. Bloin-Wibe, C. Gessner, V. Humphrey, F. Lehner, A. G. Pendergrass, S. Sippel, J. Zeder, R. Knutti
Opublikowane w: Nature Communications, Numer 14, 2023, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-023-40112-4

Attribution of Extreme Events to Climate Change

Autorzy: Friederike E.L. Otto
Opublikowane w: Annual Review of Environment and Resources, Numer 48, 2023, Strona(/y) 813-828, ISSN 1543-5938
Wydawca: Annual Reviews, Inc.
DOI: 10.1146/annurev-environ-112621-083538

Human influence on growing-period frosts like the early April 2021 in Central France

Autorzy: Robert Vautard, Geert Jan van Oldenborgh, Rémy Bonnet, Sihan Li, Yoann Robin, Sarah Kew, Sjoukje Philip, Jean-Michel Soubeyroux, Brigitte Dubuisson, Nicolas Viovy, Markus Reichstein, Friederike Otto, Iñaki Garcia de Cortazar-Atauri
Opublikowane w: Natural Hazards and Earth System Sciences, 2025, ISSN 1684-9981
Wydawca: Copernicus Publications
DOI: 10.5194/nhess-2022-41

Challenges in Attributing the 2022 Australian Rain Bomb to Climate Change

Autorzy: Cadiou, C., Noyelle, R., Malhomme, N., Faranda, D.
Opublikowane w: Asia-Pacific Journal of Atmospheric Sciences, 2022, ISSN 1976-7951
Wydawca: Springer Nature
DOI: 10.1007/s13143-022-00305-1

Atmospheric circulation compounds anthropogenic warming and impacts of climate extremes in Europe

Autorzy: Davide Faranda, Gabriele Messori, Aglae Jezequel, Mathieu Vrac, Pascal Yiou
Opublikowane w: Proceedings of the National Academy of Sciences, Numer 120, 2023, ISSN 0027-8424
Wydawca: National Academy of Sciences
DOI: 10.1073/pnas.2214525120

Multimodel Errors and Emergence of Times in Climate Attribution Studies

Autorzy: Naveau, P., Thao, S.
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Drivers and Mechanisms of the 2021 Pacific Northwest Heatwave

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Extreme weather impacts of climate change: an attribution perspective

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Robust detection of forced warming in the presence of potentially large climate variability

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Variability conceals emerging trend in 100yr projections of UK local hourly rainfall extremes

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Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning

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Analysing 23 years of warm-season derechos in France: a climatology and investigation of synoptic and environmental changes

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Persistent anticyclonic conditions and climate change exacerbated the exceptional 2022 European-Mediterranean drought

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Maximal reachable temperatures for Western Europe in current climate

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Equalising the evidence base for adaptation and loss and damages

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Early-twentieth-century cold bias in ocean surface temperature observations

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Stable sums to infer high return levels of multivariate rainfall time series

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Identifying compound weather drivers of forest biomass loss with generative deep learning

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Spatial variability in Alpine reservoir regulation: deriving reservoir operations from streamflow using generalized additive models

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The Effect of a Short Observational Record on the Statistics of Temperature Extremes

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A shifting climate: <scp>New</scp> paradigms and challenges for (early career) scientists in extreme weather research

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A meta-Gaussian distribution for sub-hourly rainfall

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Compounding effects in flood drivers challenge estimates of extreme river floods

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Compound wind and precipitation extremes across the Indo-Pacific: climatology, variability and drivers

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Could an extremely cold central European winter such as 1963 happen again despite climate change?

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Foundations of attribution in climate-change science

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Extreme and compound ocean events are key drivers of projected low pelagic fish biomass

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Ensembles of climate simulations to anticipate worst case heatwaves during the Paris 2024 Olympics

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Joint stochastic simulation of extreme coastal and offshore significant wave heights

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Summer Deep Depressions Increase Over the Eastern North Atlantic

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Multi-Modal Learning for Geospatial Vegetation Forecasting

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