TY - JOUR
T1 - Panta Rhei benchmark dataset
T2 - socio-hydrological data of paired events of floods and droughts
AU - Kreibich, Heidi
AU - Schröter, Kai
AU - Di Baldassarre, Giuliano
AU - Van Loon, Anne F.
AU - Mazzoleni, Maurizio
AU - Abeshu, Guta Wakbulcho
AU - Agafonova, Svetlana
AU - Aghakouchak, Amir
AU - Aksoy, Hafzullah
AU - Alvarez-Garreton, Camila
AU - Aznar, Blanca
AU - Balkhi, Laila
AU - Barendrecht, Marlies H.
AU - Biancamaria, Sylvain
AU - Bos-Burgering, Liduin
AU - Bradley, Chris
AU - Budiyono, Yus
AU - Buytaert, Wouter
AU - Capewell, Lucinda
AU - Carlson, Hayley
AU - Cavus, Yonca
AU - Couasnon, Anaïs
AU - Coxon, Gemma
AU - Daliakopoulos, Ioannis
AU - De Ruiter, Marleen C.
AU - Delus, Claire
AU - Erfurt, Mathilde
AU - Esposito, Giuseppe
AU - François, Didier
AU - Frappart, Frédéric
AU - Freer, Jim
AU - Frolova, Natalia
AU - Gain, Animesh K.
AU - Grillakis, Manolis
AU - Grima, Jordi Oriol
AU - Guzmán, Diego A.
AU - Huning, Laurie S.
AU - Ionita, Monica
AU - Kharlamov, Maxim
AU - Khoi, Dao Nguyen
AU - Kieboom, Natalie
AU - Kireeva, Maria
AU - Koutroulis, Aristeidis
AU - Lavado-Casimiro, Waldo
AU - Li, Hong Yi
AU - Llasat, Maria Carmen
AU - Macdonald, David
AU - Mård, Johanna
AU - Mathew-Richards, Hannah
AU - Mckenzie, Andrew
AU - Mejia, Alfonso
AU - Mendiondo, Eduardo Mario
AU - Mens, Marjolein
AU - Mobini, Shifteh
AU - Mohor, Guilherme Samprogna
AU - Nagavciuc, Viorica
AU - Ngo-Duc, Thanh
AU - Nguyen, Huynh Thi Thao
AU - Nhi, Pham Thi Thao
AU - Petrucci, Olga
AU - Quan, Nguyen Hong
AU - Quintana-Seguí, Pere
AU - Razavi, Saman
AU - Ridolfi, Elena
AU - Riegel, Jannik
AU - Sadik, Md Shibly
AU - Sairam, Nivedita
AU - Savelli, Elisa
AU - Sazonov, Alexey
AU - Sharma, Sanjib
AU - Sörensen, Johanna
AU - Souza, Felipe Augusto Arguello
AU - Stahl, Kerstin
AU - Steinhausen, Max
AU - Stoelzle, Michael
AU - Szalińska, Wiwiana
AU - Tang, Qiuhong
AU - Tian, Fuqiang
AU - Tokarczyk, Tamara
AU - Tovar, Carolina
AU - Tran, Thi Van Thu
AU - Van Huijgevoort, Marjolein H.J.
AU - Van Vliet, Michelle T.H.
AU - Vorogushyn, Sergiy
AU - Wagener, Thorsten
AU - Wang, Yueling
AU - Wendt, Doris E.
AU - Wickham, Elliot
AU - Yang, Long
AU - Zambrano-Bigiarini, Mauricio
AU - Ward, Philip J.
N1 - Funding Information:
The work, particularly data collection, was partly undertaken under the framework of the following entities and projects: Center for Climate and Resilience Research (ANID/FONDAP/1522A0001), joint research project ANID/NSFC190018, project ANID/FSEQ210001, PIRAGUA project funded by FEDER through the POCTEFA Programme of the EU, M-CostAdapt project (FEDER/MICINN-AEI/CTM2017-83655-C2-2-R), project RIESGOS (BMBF, 03G0876B), project DECIDER (BMBF, 01LZ1703G), project FLOOD (01LP1903E) as part of the ClimXtreme Research Network, HUMID project (CGL2017-85687-R, AEI/FEDER, UE), project funded by the US National Science Foundation (EAR no. 1804560), NASA award no. NNX15AC27G and NOAA award no. NA19OAR4310294, CENTA NERC grant (NE/lL002493/1), Groundwater Drought Initiative (NE/R004994/1), MaRIUS and ENDOWS projects funded by NERC grant number NE/L010399/1, NERC RAHU project grant NE/S013210/1, AWI Strategy Fund Project PalEX, Helmholtz Climate Initiative REKLIM, Russian Science Foundation (project no. 19-77-10032), Turkish State Meteorological Service, Formas (grant no. 942-2015-149), Vietnam National University–Ho Chi Minh City under grant number C2018-48-01, Vietnam National Foundation for Science and Technology Development (grant no. 105.06-2019.20), the US National Science Foundation project (EAR #1804560), MSCA ETN System-Risk (grant 676027), the Russian Foundation for Basic Research project (no. 18-05-60021-Arctic), the National Natural Science Foundation of China (grant no. 92047301), CNES TOSCA grant SWHYM, the University of California, Division of Agriculture and Natural Resources California Institute for Water Resources and US Geological Survey (grant no. G21AP10611-00), and a California State University Water Resources and Policy Initiatives grant. David Macdonald and Andrew McKenzie publish with the permission of the Director, British Geological Survey. Funding for their input was provided by UK Research and Innovation (UKRI) National Capability resources, devolved to the British Geological Survey, and through the LANDWISE project (NERC; grant no. NE/R004668/1). Publisher's note: Copernicus Publications has not received any payments from Russian or Belarusian institutions for this paper.
Funding Information:
Elisa Savelli received funding from the European Research Council (ERC) within the project “HydroSocialExtremes: Uncovering the Mutual Shaping of Hydrological Extremes and Society” (ERC Consolidator Grant, grant no. 771678). Elena Ridolfi was supported by the Centre of Natural Hazards and Disaster Science (CNDS) in Sweden. Thorsten Wagener was partially supported by a Royal Society Wolfson Research Merit Award (WM170042) and by the Alexander von Humboldt Foundation in the framework of the Alexander von Humboldt Professorship endowed by the German Federal Ministry of Education and Research. Jim Freer was partly supported by the Global Water Futures program, University of Saskatchewan. Yonca Cavus was supported by the DAAD “Research Grants – Bi-nationally Supervised Doctoral Degrees/Cotutelle” Program. Hafzullah Aksoy performed a portion of his contribution to this study during his stay at the University of Illinois, Urbana-Champaign, USA, supported by a Fulbright Academic Research Scholarship, Istanbul Technical University (project no. MUA-2019-42094), and the Scientific and Technological Research Council of Turkey (TUBITAK). Dao Nguyen Khoi was supported by the Vietnam National Foundation for Science and Technology Development (grant no. 105.06-2019.20). Qiuhong Tang was supported by the National Natural Science Foundation of China (grant nos. 41730645, 41790424). Philip Ward was supported by the Netherlands Organisation for Scientific Research (NWO) (VIDI; grant no. 016.161.324) and the MYRIAD-EU project, which received funding from the European Union's Horizon 2020 research and innovation programme (grant agreement no. 101003276). Maurizio Mazzoleni was supported by the Swedish Research Council Formas and the Centre of Natural Hazards and Disaster Science (CNDS) in Sweden. Laurie Huning was partially supported by the University of California, Division of Agriculture and Natural Resources California Institute for Water Resources and US Geological Survey (grant no. G21AP10611-00) and a California State University Water Resources and Policy Initiatives grant. Anaïs Couasnon was supported by a VIDI grant from NWO that was awarded to Philip Ward (grant no. 016.161.324). Marleen de Ruiter was supported by the MYRIAD-EU project, which received funding from the European Union's Horizon 2020 research and innovation programme (grant agreement no. 101003276). Animesh K. Gain was financially supported by the Marie Skłodowska Curie Global Fellowship of the European Commission (grant agreement no. 787419) and Murdoch University, Australia. Liduin Bos-Burgering and Marjolein Mens were supported by the Deltares research program on water resources, funded by the Dutch Ministry of Economic Affairs and Climate. Fuqiang Tian was partly supported by the National Natural Science Foundation of China (grant no. 92047301). Johanna Mård was supported by the Centre of Natural Hazards and Disaster Science (CNDS). Wouter Buytaert acknowledges funding from the UK Natural Environment Research Council (grant no. NE/S013210/1). Gemma Coxon was funded by a UKRI Future Leaders Fellowship award 9MR/V022857/10. Saman Razavi, Hayley Carlson, and Laila Balkhi were supported by the Integrated Modelling Program for Canada. Huynh Thi Thao Nguyen was supported by the NUFFIC/NICHE VNM 104 project, which was co-funded by the Netherlands Government and Vietnam National University–Ho Chi Minh City. Michelle van Vliet was financially supported by a VIDI grant (project no. VI.Vidi.193.019) of the Netherlands Scientific Organisation (NWO). Anne Van Loon was supported by the European Research Council (ERC) project “PerfectSTORM: Storylines of future extremes” (ERC-2020-StG 948601). Guta Worku Abeshu and Hong-Yi Li were supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the US Department of Energy, Office of Science, Office of Biological and Environmental Research. Thanh Ngo-Duc was supported by the Vietnam National Foundation for Science and Technology Development (grant no. 105.06-2021.14). María Carmen Llasat was supported by the C3RiskMed research project (Grant PID2020-113638RB-C22) funded by the Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033.
Publisher Copyright:
© 2023 Heidi Kreibich et al.
PY - 2023/5/16
Y1 - 2023/5/16
N2 - 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 characterize management shortcomings, hazard, exposure, vulnerability, and impacts of all events; and (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, 10.5880/GFZ.4.4.2023.001).
AB - 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 characterize management shortcomings, hazard, exposure, vulnerability, and impacts of all events; and (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, 10.5880/GFZ.4.4.2023.001).
UR - http://www.scopus.com/inward/record.url?scp=85160955576&partnerID=8YFLogxK
U2 - 10.5194/essd-15-2009-2023
DO - 10.5194/essd-15-2009-2023
M3 - Article
AN - SCOPUS:85160955576
SN - 1866-3508
VL - 15
SP - 2009
EP - 2023
JO - Earth System Science Data
JF - Earth System Science Data
IS - 5
ER -
