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

Primer Autor
Kreibich, Heidi
Co-autores
Schroeter, Kai
Di Baldassarre, Giuliano
Van Loon, Anne F.
Mazzoleni, Maurizio
Abeshu, Guta Wakbulcho
Agafonova, Svetlana
AghaKouchak, Amir
Aksoy, Hafzullah
Alvarez-Garreton, Camila
Aznar, Blanca
Balkhi, Laila
Barendrecht, Marlies H.
Biancamaria, Sylvain
Bos-Burgering, Liduin
Bradley, Chris
Budiyono, Yus
Buytaert, Wouter
Capewell, Lucinda
Carlson, Hayley
Cavus, Yonca
Couasnon, Anais
Coxon, Gemma
Daliakopoulos, Ioannis
de Ruiter, Marleen C.
Delus, Claire
Erfurt, Mathilde
Esposito, Giuseppe
Francois, Didier
Frappart, Frederic
Freer, Jim
Frolova, Natalia
Gain, Animesh K.
Grillakis, Manolis
Grima, Jordi Oriol
Guzman, Diego A.
Huning, Laurie S.
Ionita, Monica
Kharlamov, Maxim
Khoi, Dao Nguyen
Kieboom, Natalie
Kireeva, Maria
Koutroulis, Aristeidis
Lavado-Casimiro, Waldo
Li, Hong-Yi
LLasat, Maria Carmen
Macdonald, David
Mard, Johanna
Mathew-Richards, Hannah
McKenzie, Andrew
Mejia, Alfonso
Mendiondo, Eduardo Mario
Mens, Marjolein
Mobini, Shifteh
Mohor, Guilherme Samprogna
Nagavciuc, Viorica
Ngo-Duc, Thanh
Nguyen, Huynh Thi Thao
Nhi, Pham Thi Thao
Petrucci, Olga
Quan, Nguyen Hong
Quintana-Segui, Pere
Razavi, Saman
Ridolfi, Elena
Riegel, Jannik
Sadik, Md Shibly
Sairam, Nivedita
Savelli, Elisa
Sazonov, Alexey
Sharma, Sanjib
Soerensen, Johanna
Souza, Felipe Augusto Arguello
Stahl, Kerstin
Steinhausen, Max
Stoelzle, Michael
Szalinska, Wiwiana
Tang, Qiuhong
Tian, Fuqiang
Tokarczyk, Tamara
Tovar, Carolina
Tran, Thi Van Thu
van Huijgevoort, Marjolein H. J.
van Vliet, Michelle T. H.
Vorogushyn, Sergiy
Wagener, Thorsten
Wang, Yueling
Wendt, Doris E.
Wickham, Elliot
Yang, Long
Zambrano-Bigiarini, Mauricio
Título
Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts
Editorial
COPERNICUS GESELLSCHAFT MBH
Revista
EARTH SYSTEM SCIENCE DATA
Lenguaje
en
Resumen
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,https://doi.org/10.5880/GFZ.4.4.2023.001).
Fecha Publicación
2023
Tipo de Recurso
artículo original
doi
10.5194/essd-15-2009-2023
Formato Recurso
PDF
Palabras Claves
flood and drought risk management
socio-hydrological models
Drought
Flood
Ubicación del archivo
Categoría OCDE
Geología
Meteorología y Ciencias Atmosféricas
Materias
gestión del riesgo de inundaciones y sequías
modelos sociohidrológicos
Sequía
Inundación
Página de inicio (Recomendado-único)
2009.0
Página final (Recomendado-único)
2023
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
versión publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Id de Web of Science
WOS:000992519600001
ISSN
1866-3508
Tipo de ruta
verde# dorado
Categoría WOS
Geología
Meteorología y Ciencias Atmosféricas
Referencia del Financiador (Mandatado si es aplicable-repetible)
ERC 771678
CNDS
WM170042
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