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

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dc.contributor.authorKreibich, Heidi
dc.contributor.authorSchroeter, Kai
dc.contributor.authorDi Baldassarre, Giuliano
dc.contributor.authorVan Loon, Anne F.
dc.contributor.authorMazzoleni, Maurizio
dc.contributor.authorAbeshu, Guta Wakbulcho
dc.contributor.authorAgafonova, Svetlana
dc.date.accessioned2024-03-13T10:33:24Z
dc.date.available2024-03-13T10:33:24Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractAs 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,https://doi.org/10.5880/GFZ.4.4.2023.001).en_US
dc.description.sponsorshipEuropean Research Council (ERC); Centre of Natural Hazards and Disaster Science (CNDS) in Sweden; Royal Society Wolfson Research Merit Award; Alexander von Humboldt Foundation; Global Water Futures program, University of Saskatchewan; DAAD Research Grants - Bi-nationally Supervised Doctoral Degrees/Cotutelle Program; Fulbright Academic Research Scholarship, Istanbul Technical University; Scientific and Technological Research Council of Turkey (TUBITAK); Vietnam National Foundation for Science and Technology Development; National Natural Science Foundation of China; Netherlands Organisation for Scientific Research (NWO); MYRIAD-EU project; European Union's Horizon 2020 research and innovation programme [771678]; Swedish Research Council Formas; University of California, Division of Agriculture and Natural Resources California Institute for Water Resources [WM170042]; US Geological Survey; California State University Water Resources and Policy Initiatives; NWO; Marie Sklodowska Curie Global Fellowship of the European Commission [MUA-2019-42094]; Murdoch University, Australia; Dutch Ministry of Economic Affairs and Climate [105.06-2019.20, ERC-2020-StG948601]; Centre of Natural Hazards and Disaster Science (CNDS) [105.06-2021.14, 41730645, G21AP10611-00]; UK Natural Environment Research Council [41790424]; UKRI Future Leaders Fellowship; Integrated Modelling Program for Canada [92047301]; NUFFIC/NICHE VNM 104 project; Netherlands Government; Vietnam National University-Ho Chi Minh City [016.161.324]; Netherlands Scientific Organisation (NWO); European Research Council (ERC); Energy Exascale Earth System Model (E3SM) project - US Department of Energy, Office of Science, Office of Biological and Environmental Research [101003276]; C3RiskMed research project - Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033; [787419]; [NE/S013210/1]; [9MR/V022857/10]; [VI.Vidi.193.019]; [PID2020-113638RB-C22]en_US
dc.description.sponsorshipElisa 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. Anais 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 Sklodowska 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 onwater 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 Mard 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-StG948601). 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). Maria 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.en_US
dc.identifier.doi10.5194/essd-15-2009-2023
dc.identifier.endpage2023en_US
dc.identifier.issn1866-3508
dc.identifier.issn1866-3516
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85160955576en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2009en_US
dc.identifier.urihttps://doi.org/10.5194/essd-15-2009-2023
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3936
dc.identifier.volume15en_US
dc.identifier.wosWOS:000992519600001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartofEarth System Science Dataen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titlePanta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughtsen_US
dc.typeArticleen_US

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