Panta Rhei benchmark dataset : Socio-hydrological data of paired events of floods and droughts
(2023) In Earth System Science Data 15(5). p.2009-2023- 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... (More)
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, 10.5880/GFZ.4.4.2023.001).
(Less)
- author
- organization
- publishing date
- 2023-05-16
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Earth System Science Data
- volume
- 15
- issue
- 5
- pages
- 15 pages
- publisher
- Copernicus GmbH
- external identifiers
-
- scopus:85160955576
- ISSN
- 1866-3508
- DOI
- 10.5194/essd-15-2009-2023
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023 Heidi Kreibich et al.
- id
- f55da715-371c-4e2a-9293-8d4a8ef82dcb
- date added to LUP
- 2023-06-15 06:41:59
- date last changed
- 2024-01-18 12:58:57
@article{f55da715-371c-4e2a-9293-8d4a8ef82dcb,
abstract = {{<p>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, 10.5880/GFZ.4.4.2023.001).</p>}},
author = {{Kreibich, Heidi and Schröter, Kai and Di Baldassarre, Giuliano and Van Loon, Anne F. and Mazzoleni, Maurizio and Abeshu, Guta Wakbulcho and Agafonova, Svetlana and Aghakouchak, Amir and Aksoy, Hafzullah and Alvarez-Garreton, Camila and Aznar, Blanca and Balkhi, Laila and Barendrecht, Marlies H. and Biancamaria, Sylvain and Bos-Burgering, Liduin and Bradley, Chris and Budiyono, Yus and Buytaert, Wouter and Capewell, Lucinda and Carlson, Hayley and Cavus, Yonca and Couasnon, Anaïs and Coxon, Gemma and Daliakopoulos, Ioannis and De Ruiter, Marleen C. and Delus, Claire and Erfurt, Mathilde and Esposito, Giuseppe and François, Didier and Frappart, Frédéric and Freer, Jim and Frolova, Natalia and Gain, Animesh K. and Grillakis, Manolis and Grima, Jordi Oriol and Guzmán, Diego A. and Huning, Laurie S. and Ionita, Monica and Kharlamov, Maxim and Khoi, Dao Nguyen and Kieboom, Natalie and Kireeva, Maria and Koutroulis, Aristeidis and Lavado-Casimiro, Waldo and Li, Hong Yi and Llasat, Maria Carmen and Macdonald, David and Mård, Johanna and Mathew-Richards, Hannah and Mckenzie, Andrew and Mejia, Alfonso and Mendiondo, Eduardo Mario and Mens, Marjolein and Mobini, Shifteh and Mohor, Guilherme Samprogna and Nagavciuc, Viorica and Ngo-Duc, Thanh and Nguyen, Huynh Thi Thao and Nhi, Pham Thi Thao and Petrucci, Olga and Quan, Nguyen Hong and Quintana-Seguí, Pere and Razavi, Saman and Ridolfi, Elena and Riegel, Jannik and Sadik, Md Shibly and Sairam, Nivedita and Savelli, Elisa and Sazonov, Alexey and Sharma, Sanjib and Sörensen, Johanna and Souza, Felipe Augusto Arguello and Stahl, Kerstin and Steinhausen, Max and Stoelzle, Michael and Szalińska, Wiwiana and Tang, Qiuhong and Tian, Fuqiang and Tokarczyk, Tamara and Tovar, Carolina and Tran, Thi Van Thu and Van Huijgevoort, Marjolein H.J. and Van Vliet, Michelle T.H. and Vorogushyn, Sergiy and Wagener, Thorsten and Wang, Yueling and Wendt, Doris E. and Wickham, Elliot and Yang, Long and Zambrano-Bigiarini, Mauricio and Ward, Philip J.}},
issn = {{1866-3508}},
language = {{eng}},
month = {{05}},
number = {{5}},
pages = {{2009--2023}},
publisher = {{Copernicus GmbH}},
series = {{Earth System Science Data}},
title = {{Panta Rhei benchmark dataset : Socio-hydrological data of paired events of floods and droughts}},
url = {{http://dx.doi.org/10.5194/essd-15-2009-2023}},
doi = {{10.5194/essd-15-2009-2023}},
volume = {{15}},
year = {{2023}},
}