Panta Rhei benchmark dataset

Autor: Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, Philip J. Ward
Přispěvatelé: German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Uppsala University, Vrije Universiteit Amsterdam [Amsterdam] (VU), University of Houston, Lomonosov Moscow State University (MSU), University of California [Irvine] (UC Irvine), University of California (UC), Istanbul Technical University (ITÜ), Center for Climate and Resilience Research [Conception] ((CR)2), Universidad de Concepción - University of Concepcion [Chile], Operations Department, Barcelona Cicle de l’Aigua, University of Saskatchewan [Saskatoon] (U of S), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Department of Groundwater Management, Deltares, Delft, University of Birmingham [Birmingham], Agency for the Assessment and Application of Technology, Imperial College London, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Water and Climate Risk, Amsterdam Sustainability Institute
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Earth System Science Data
Earth System Science Data, 2023, 15, pp.2009-2023. ⟨10.5194/essd-15-2009-2023⟩
Earth System Science Data, 15(5), 2009-2023. Copernicus Publications
Kreibich, H, Schröter, K, Di Baldassarre, G, Van Loon, A F, Mazzoleni, M, Abeshu, G W, Agafonova, S, Aghakouchak, A, Aksoy, H, Alvarez-Garreton, C, Aznar, B, Balkhi, L, Barendrecht, M H, Biancamaria, S, Bos-Burgering, L, Bradley, C, Budiyono, Y, Buytaert, W, Capewell, L, Carlson, H, Cavus, Y, Couasnon, A, Coxon, G, Daliakopoulos, I, De Ruiter, M C, Delus, C, Erfurt, M, Esposito, G, François, D, Frappart, F, Freer, J, Frolova, N, Gain, A K, Grillakis, M, Grima, J O, Guzmán, D A, Huning, L S, Ionita, M, Kharlamov, M, Khoi, D N, Kieboom, N, Kireeva, M, Koutroulis, A, Lavado-Casimiro, W, Li, H Y, Llasat, M C, Macdonald, D, Mård, J, Mathew-Richards, H, Mckenzie, A, Mejia, A, Mendiondo, E M, Mens, M, Mobini, S, Mohor, G S, Nagavciuc, V, Ngo-Duc, T, Nguyen, H T T, Nhi, P T T, Petrucci, O, Quan, N H, Quintana-Seguí, P, Razavi, S, Ridolfi, E, Riegel, J, Sadik, M S, Sairam, N, Savelli, E, Sazonov, A, Sharma, S, Sörensen, J, Souza, F A A, Stahl, K, Steinhausen, M, Stoelzle, M, Szalińska, W, Tang, Q, Tian, F, Tokarczyk, T, Tovar, C, Tran, T V T, Van Huijgevoort, M H J, Van Vliet, M T H, Vorogushyn, S, Wagener, T, Wang, Y, Wendt, D E, Wickham, E, Yang, L, Zambrano-Bigiarini, M & Ward, P J 2023, ' Panta Rhei benchmark dataset : socio-hydrological data of paired events of floods and droughts ', Earth System Science Data, vol. 15, no. 5, pp. 2009-2023 . https://doi.org/10.5194/essd-15-2009-2023
ISSN: 1866-3508
1866-3516
DOI: 10.5194/essd-15-2009-2023
Popis: As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e., two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed, and in the quantity of socio-hydrological data. The benchmark dataset comprises: 1) detailed review style reports about the events and key processes between the two events of a pair; 2) the key data table containing variables that assess the indicators which characterise management shortcomings, hazard, exposure, vulnerability and impacts of all events; 3) a table of the indicators-of-change that indicate the differences between the first and second event of a pair. The advantages of the dataset are that it enables comparative analyses across all the paired events based on the indicators-of-change and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. The dataset can be used by the scientific community for exploratory data analyses e.g. focused on causal links between risk management, changes in hazard, exposure and vulnerability and flood or drought impacts. The data can also be used for the development, calibration and validation of socio-hydrological models. The dataset is available to the public through the GFZ Data Services (Kreibich et al. 2023, link for review: https://dataservices.gfz-potsdam.de/panmetaworks/review/923c14519deb04f83815ce108b48dd2581d57b90ce069bec9c948361028b8c85/).
Databáze: OpenAIRE
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