Repositorio UFRO · Omeka S

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