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

• DOI: 10.5194/essd-15-2009-2023
• Publication Date: 2023-05-16T11:18:19Z
• Authors: Heidi Kreibich; Kai Schröter; Giuliano Di Balda...; Anne F. Van Loon; Maurizio Mazzoleni; Guta Wakbulcho Ab...; Svetlana Agafonova; Amir AghaKouchak; Hafzullah Aksoy; Camila Alvarez-Ga...; Blanca Aznar; Laila Balkhi; Marlies H. Barend...; Sylvain Biancamaria; Liduin Bos-Burgering; Chris Bradley; Yus Budiyono; Wouter Buytaert; Lucinda Capewell; Hayley Carlson; Yonca Cavus; Anaïs Couasnon; Gemma Coxon; Ioannis Daliakopo...; Marleen C. de Ruiter; Claire Delus; Mathilde Erfurt; Giuseppe Esposito; Didier François; Frédéric Frappart; Jim Freer; Natalia Frolova; Animesh K. Gain; Manolis Grillakis; Jordi Oriol Grima; Diego A. Guzmán; Laurie S. Huning; Monica Ionita; Maxim Kharlamov; Dao Nguyen Khoi; Natalie Kieboom; Maria Kireeva; Aristeidis Koutro...; Waldo Lavado-Casi...; Hong-Yi Li; Maria Carmen LLasat; David Macdonald; Johanna Mård; Hannah Mathew-Ric...; Andrew McKenzie; Alfonso Mejia; Eduardo Mario Men...; Marjolein Mens; Shifteh Mobini; Guilherme Samprog...; Viorica Nagavciuc; Thanh Ngo-Duc; Huynh Thi Thao Ng...; Pham Thi Thao Nhi; Olga Petrucci; Nguyen Hong Quan; Pere Quintana-Seguí; Saman Razavi; Elena Ridolfi; Jannik Riegel; Md Shibly Sadik; Nivedita Sairam; Elisa Savelli; Alexey Sazonov; Sanjib Sharma; Johanna Sörensen; Felipe Augusto Ar...; Kerstin Stahl; Max Steinhausen; Michael Stoelzle; Wiwiana Szalińska; Qiuhong Tang; Fuqiang Tian; Tamara Tokarczyk; Carolina Tovar; Thi Van Thu Tran; Marjolein H. J. v...; Michelle T. H. va...; Sergiy Vorogushyn; Thorsten Wagener; Yueling Wang; Doris E. Wendt; Elliot Wickham; Long Yang; Mauricio Zambrano...; Philip J. Ward
• Keywords: [SDE] Environmental Sciences; QE1-996.5; 550; Geology; Oceanografi, hydrologi och vattenresurser; drought; flood; 15. Life on land; 551; hydrological extremes; risk management; 333; Sequía; https://purl.org/pe-repo/ocde/ford#1.05.11; 6. Clean water; Inundación; Environmental sciences; Oceanography, Hydrology and Water Resources; 13. Climate action; [SDE]Environmental Sciences; 11. Sustainability; flood, drought; extreme events; mitigation; resilience; GE1-350; SDG 6 - Clean Water and Sanitation

Abstract. 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).