Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

Heidi Kreibich; Kai Schröter; Giuliano Di Baldassarre; Anne F. Van Loon; Maurizio Mazzoleni; Guta Wakbulcho Abeshu; Svetlana Agafonova; Amir AghaKouchak; Hafzullah Aksoy; C. Alvarez-Garreton; Blanca Aznar; Laila Balkhi; Marlies H Barendrecht; Sylvain Biancamaria; Liduin Bos-Burgering; Chris Bradley; Y. Budiyono; Wouter Buytaert; Lucinda Capewell; Hayley Carlson; CAVUS Yonca; Anaïs Couasnon; Gemma Coxon; Ioannis Daliakopoulos; de Marleen Ruiter; Claire Delus; Mathilde Erfurt; ESPOSITO GIUSEPPE; Didier François; Frédéric Frappart; Jim Freer; Natalia Frolova; Animesh K. Gain; M.G. Grillakis; Jordi Oriol Grima; Diego Alejandro Guzman Arias; Laurie S. Huning; Monica Ionita; Maxim Kharlamov; Dao Nguyen Khoi; Natalie Kieboom; Maria Kireeva; Aristeidis Koutroulis; waldo lavado-casimiro; Hongyi Li; Maria Carmen Llasat; David Macdonald; Johanna Mård; Hannah Mathew-Richards; Andrew McKenzie; Alfonso Mejia; Doris Wendt

doi:10.5194/essd-15-2009-2023

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, C. Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Y. Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley CarlsonCAVUS Yonca, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, de Marleen Ruiter, Claire Delus, Mathilde Erfurt, ESPOSITO GIUSEPPE, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, M.G. Grillakis, Jordi Oriol Grima, Diego Alejandro Guzman Arias, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, waldo lavado-casimiro, Hongyi Li, Maria Carmen Llasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Doris Wendt

Research output: Contribution to journal › Article (Academic Journal) › peer-review

16 Citations (Scopus)

Abstract

As the adverse impacts of hydrological extremes increase in many regions ofthe world, a better understanding of the drivers of changes in risk andimpacts is essential for effective flood and drought risk management andclimate adaptation. However, there is currently a lack of comprehensive,empirical data about the processes, interactions, and feedbacks in complexhuman–water systems leading to flood and drought impacts. Here we present abenchmark 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 incovering both floods and droughts, in the number of cases assessed and inthe 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, https://doi.org/10.5880/GFZ.4.4.2023.001).

Original language	English
Pages (from-to)	2009-2023
Number of pages	15
Journal	Earth System Science Data
Volume	15
Issue number	5
DOIs	https://doi.org/10.5194/essd-15-2009-2023
Publication status	Published - 16 May 2023

Bibliographical note

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.

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Kreibich, H., Schröter, K., Baldassarre, G. D., Loon, A. F. V., 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., ... Wendt, D. (2023). Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. Earth System Science Data, 15(5), 2009-2023. https://doi.org/10.5194/essd-15-2009-2023

@article{5a71650082334572bb2a4f004567c3a8,

title = "Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts",

abstract = "As the adverse impacts of hydrological extremes increase in many regions ofthe world, a better understanding of the drivers of changes in risk andimpacts is essential for effective flood and drought risk management andclimate adaptation. However, there is currently a lack of comprehensive,empirical data about the processes, interactions, and feedbacks in complexhuman–water systems leading to flood and drought impacts. Here we present abenchmark 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 incovering both floods and droughts, in the number of cases assessed and inthe 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, https://doi.org/10.5880/GFZ.4.4.2023.001). ",

author = "Heidi Kreibich and Kai Schr{\"o}ter and Baldassarre, \{Giuliano Di\} and Loon, \{Anne F. Van\} and Maurizio Mazzoleni and Abeshu, \{Guta Wakbulcho\} and Svetlana Agafonova and Amir AghaKouchak and Hafzullah Aksoy and C. Alvarez-Garreton and Blanca Aznar and Laila Balkhi and Barendrecht, \{Marlies H\} and Sylvain Biancamaria and Liduin Bos-Burgering and Chris Bradley and Y. Budiyono and Wouter Buytaert and Lucinda Capewell and Hayley Carlson and CAVUS Yonca and Ana{\"i}s Couasnon and Gemma Coxon and Ioannis Daliakopoulos and \{Marleen Ruiter\}, de and Claire Delus and Mathilde Erfurt and ESPOSITO GIUSEPPE and Didier Fran{\c c}ois and Fr{\'e}d{\'e}ric Frappart and Jim Freer and Natalia Frolova and Gain, \{Animesh K.\} and M.G. Grillakis and Grima, \{Jordi Oriol\} and Arias, \{Diego Alejandro Guzman\} and Huning, \{Laurie S.\} and Monica Ionita and Maxim Kharlamov and Khoi, \{Dao Nguyen\} and Natalie Kieboom and Maria Kireeva and Aristeidis Koutroulis and waldo lavado-casimiro and Hongyi Li and Llasat, \{Maria Carmen\} and David Macdonald and Johanna M{\aa}rd and Hannah Mathew-Richards and Andrew McKenzie and Alfonso Mejia and Doris Wendt",

note = "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. Ana{\"i}s 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 Sk{\l}odowska 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 M{\aa}rd 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). Mar{\'i}a 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: {\textcopyright} 2023 Heidi Kreibich et al.",

year = "2023",

month = may,

day = "16",

doi = "10.5194/essd-15-2009-2023",

language = "English",

volume = "15",

pages = "2009--2023",

journal = "Earth System Science Data",

issn = "1866-3508",

publisher = "Copernicus Publications",

number = "5",

}

Kreibich, H, Schröter, K, Baldassarre, GD, Loon, AFV, Mazzoleni, M, Abeshu, GW, Agafonova, S, AghaKouchak, A, Aksoy, H, Alvarez-Garreton, C, Aznar, B, Balkhi, L, Barendrecht, MH, Biancamaria, S, Bos-Burgering, L, Bradley, C, Budiyono, Y, Buytaert, W, Capewell, L, Carlson, H, Yonca, CAVUS, Couasnon, A, Coxon, G, Daliakopoulos, I, Marleen Ruiter, D, Delus, C, Erfurt, M, GIUSEPPE, ESPOSITO, François, D, Frappart, F, Freer, J, Frolova, N, Gain, AK, Grillakis, MG, Grima, JO, Arias, DAG, Huning, LS, Ionita, M, Kharlamov, M, Khoi, DN, Kieboom, N, Kireeva, M, Koutroulis, A, lavado-casimiro, W, Li, H, Llasat, MC, Macdonald, D, Mård, J, Mathew-Richards, H, McKenzie, A, Mejia, A & Wendt, D 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

TY - JOUR

T1 - Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

AU - Kreibich, Heidi

AU - Schröter, Kai

AU - Baldassarre, Giuliano Di

AU - Loon, Anne F. Van

AU - Mazzoleni, Maurizio

AU - Abeshu, Guta Wakbulcho

AU - Agafonova, Svetlana

AU - AghaKouchak, Amir

AU - Aksoy, Hafzullah

AU - Alvarez-Garreton, C.

AU - Aznar, Blanca

AU - Balkhi, Laila

AU - Barendrecht, Marlies H

AU - Biancamaria, Sylvain

AU - Bos-Burgering, Liduin

AU - Bradley, Chris

AU - Budiyono, Y.

AU - Buytaert, Wouter

AU - Capewell, Lucinda

AU - Carlson, Hayley

AU - Yonca, CAVUS

AU - Couasnon, Anaïs

AU - Coxon, Gemma

AU - Daliakopoulos, Ioannis

AU - Marleen Ruiter, de

AU - Delus, Claire

AU - Erfurt, Mathilde

AU - GIUSEPPE, ESPOSITO

AU - François, Didier

AU - Frappart, Frédéric

AU - Freer, Jim

AU - Frolova, Natalia

AU - Gain, Animesh K.

AU - Grillakis, M.G.

AU - Grima, Jordi Oriol

AU - Arias, Diego Alejandro Guzman

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, Hongyi

AU - Llasat, Maria Carmen

AU - Macdonald, David

AU - Mård, Johanna

AU - Mathew-Richards, Hannah

AU - McKenzie, Andrew

AU - Mejia, Alfonso

AU - Wendt, Doris

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 ofthe world, a better understanding of the drivers of changes in risk andimpacts is essential for effective flood and drought risk management andclimate adaptation. However, there is currently a lack of comprehensive,empirical data about the processes, interactions, and feedbacks in complexhuman–water systems leading to flood and drought impacts. Here we present abenchmark 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 incovering both floods and droughts, in the number of cases assessed and inthe 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, https://doi.org/10.5880/GFZ.4.4.2023.001).

AB - As the adverse impacts of hydrological extremes increase in many regions ofthe world, a better understanding of the drivers of changes in risk andimpacts is essential for effective flood and drought risk management andclimate adaptation. However, there is currently a lack of comprehensive,empirical data about the processes, interactions, and feedbacks in complexhuman–water systems leading to flood and drought impacts. Here we present abenchmark 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 incovering both floods and droughts, in the number of cases assessed and inthe 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, https://doi.org/10.5880/GFZ.4.4.2023.001).

UR - http://dx.doi.org/10.5194/essd-15-2009-2023

U2 - 10.5194/essd-15-2009-2023

DO - 10.5194/essd-15-2009-2023

M3 - Article (Academic Journal)

SN - 1866-3508

VL - 15

SP - 2009

EP - 2023

JO - Earth System Science Data

JF - Earth System Science Data

IS - 5

ER -

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

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MaRIUS: Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity.

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Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

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Bibliographical note

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MaRIUS: Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity.

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