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Journal Articles Earth System Science Data Year : 2023

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

Heidi Kreibich (1) , Kai Schröter (1) , Giuliano Di Baldassarre (2) , Anne F van Loon (3) , Maurizio Mazzoleni (3) , Guta Wakbulcho Abeshu (4) , Svetlana Agafonova (5) , Amir Aghakouchak (6) , Hafzullah Aksoy (7) , Camila Alvarez-Garreton (8) , Blanca Aznar (9) , Laila Balkhi (10) , Marlies H Barendrecht (3) , Sylvain Biancamaria (11) , Liduin Bos-Burgering (12) , Chris Bradley (13) , Yus Budiyono (14) , Wouter Buytaert (15) , Lucinda Capewell (13) , Hayley Carlson (10) , Yonca Cavus , Anaïs Couasnon , Gemma Coxon , Ioannis Daliakopoulos , Marleen C de Ruiter , Claire Delus , Mathilde Erfurt , Giuseppe Esposito , Didier François , Frédéric Frappart (16) , 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 , Johanna Mård , Maria Kireeva , Aristeidis Koutroulis , Waldo Lavado-Casimiro , Hong-Yi Li , Maria Carmen Llasat , David Macdonald , Hannah Mathew-Richards , Andrew Mckenzie , Alfonso Mejia , Eduardo Mario Mendiondo , Marjolein Mens , Shifteh Mobini , Guilherme Samprogna Mohor , Viorica Nagavciuc , Thanh Ngo-Duc , Huynh Thi Thao Nguyen , 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 , Fuqiang Tian , Felipe Augusto Arguello Souza , Kerstin Stahl , Max Steinhausen , Michael Stoelzle , Wiwiana Szalińska , Qiuhong Tang , Tamara Tokarczyk , Carolina Tovar , Thi van Thu Tran , Marjolein H J van Huijgevoort , Michelle T H van Vliet , Sergiy Vorogushyn , Thorsten Wagener , Yueling Wang , Doris E Wendt , Elliot Wickham , Long Yang , Mauricio Zambrano-Bigiarini , Philip J Ward
Giuliano Di Baldassarre
Hafzullah Aksoy
Chris Bradley
Wouter Buytaert
Yonca Cavus
Anaïs Couasnon
Gemma Coxon
Ioannis Daliakopoulos
Marleen C de Ruiter
Claire Delus
  • Function : Author
Mathilde Erfurt
  • Function : Author
Giuseppe Esposito
Didier François
  • Function : Author
Frédéric Frappart
  • Function : Author
  • PersonId : 1338014
  • IdHAL : ffrappart
Jim Freer
  • Function : Author
Natalia Frolova
Animesh K Gain
Manolis Grillakis
Jordi Oriol Grima
  • Function : Author
Diego A Guzmán
Laurie S Huning
  • Function : Author
Monica Ionita
Maxim Kharlamov
Dao Nguyen Khoi
  • Function : Author
Natalie Kieboom
  • Function : Author
Johanna Mård
Maria Kireeva
Aristeidis Koutroulis
Waldo Lavado-Casimiro
Hong-Yi Li
Maria Carmen Llasat
David Macdonald
  • Function : Author
Hannah Mathew-Richards
  • Function : Author
Andrew Mckenzie
  • Function : Author
Alfonso Mejia
  • Function : Author
Eduardo Mario Mendiondo
Marjolein Mens
Shifteh Mobini
  • Function : Author
Guilherme Samprogna Mohor
Viorica Nagavciuc
Thanh Ngo-Duc
  • Function : Author
Huynh Thi Thao Nguyen
  • Function : Author
Pham Thi Thao Nhi
  • Function : Author
Olga Petrucci
Nguyen Hong Quan
  • Function : Author
Pere Quintana-Seguí
Saman Razavi
Elena Ridolfi
Jannik Riegel
  • Function : Author
Md Shibly Sadik
Nivedita Sairam
Elisa Savelli
Alexey Sazonov
  • Function : Author
Sanjib Sharma
  • Function : Author
Johanna Sörensen
Fuqiang Tian
Felipe Augusto Arguello Souza
Kerstin Stahl
Max Steinhausen
Michael Stoelzle
Wiwiana Szalińska
Qiuhong Tang
Tamara Tokarczyk
  • Function : Author
Carolina Tovar
  • Function : Author
Thi van Thu Tran
Marjolein H J van Huijgevoort
  • Function : Author
Michelle T H van Vliet
Sergiy Vorogushyn
Thorsten Wagener
Yueling Wang
  • Function : Author
Doris E Wendt
Elliot Wickham
  • Function : Author
Long Yang
Mauricio Zambrano-Bigiarini
Philip J Ward
  • Function : Author

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).
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Dates and versions

hal-04164569 , version 1 (18-07-2023)

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Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F van Loon, Maurizio Mazzoleni, et al.. Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. Earth System Science Data, 2023, 15, pp.2009 - 2023. ⟨10.5194/essd-15-2009-2023⟩. ⟨hal-04164569⟩
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