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  Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (version 2)

Kreibich, H., Schröter, K., Di Baldassarre, G., Van Loon, A., Mazzoleni, M., Abeshu, G. W., Agafonova, S., AghaKouchak, A., Aksoy, H., Alvarez-Garreton, C., Aznar, B., Balkhi, L., Barendrecht, M. H., Biancamaria, S., Bos-Burgering, L., Bradley, C., Budiyono, Y., Buytaert, W., Capewell, L., Carlson, H., Cavus, Y., Couasnon, A., Coxon, G., Daliakopoulos, I., de Ruiter, M. C., Delus, C., Erfurt, M., Esposito, G., François, D., Frappart, F., Freer, J., Frolova, N., Gain, A. K., Grillakis, M., Grima, J., Guzmán, D. A., Huning, L. S., Ionita, M., Kharlamov, M., Khoi, D. N., Kieboom, N., Kireeva, M., Koutroulis, A., Lavado-Casimiro, W., Li, H., LLasat, M. C., Macdonald, D., Mård, J., Mathew-Richards, H., McKenzie, A., Mejia, A., Mendiondo, E. M., Mens, M., Mobini, S., Mohor, G. S., Nagavciuc, V., Ngo-Duc, T., Nguyen, H. T. T., Nhi, P. T. T., Petrucci, O., Quan, N. H., Quintana-Seguí, P., Razavi, S., Ridolfi, E., Riegel, J., Sadik, M. S., Sairam, N., Savelli, E., Sazonov, A., Sharma, S., Sörensen, J., Souza, F. A. A., Stahl, K., Steinhausen, M., Stoelzle, M., Szalińska, W., Tang, Q., Tian, F., Tokarczyk, T., Tovar, C., Tran, T. V. T., van Huijgevoort, M. H., van Vliet, M. T., Vorogushyn, S., Wagener, T., Wang, Y., Wendt, D. E., Wickham, E., Yang, L., Zambrano-Bigiarini, M., Ward, P. J. (2023): Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (version 2).
https://doi.org/10.5880/GFZ.4.4.2023.001

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Kreibich, H.1, Author              
Schröter, Kai2, Author
Di Baldassarre, Giuliano2, Author
Van Loon, Anne2, Author
Mazzoleni, Maurizio2, Author
Abeshu, Guta Wakbulcho2, Author
Agafonova, Svetlana2, Author
AghaKouchak, Amir2, Author
Aksoy, Hafzullah2, Author
Alvarez-Garreton, Camila2, Author
Aznar, Blanca2, Author
Balkhi, Laila2, Author
Barendrecht, Marlies H.2, Author
Biancamaria, Sylvain2, Author
Bos-Burgering, Liduin2, Author
Bradley, Chris2, Author
Budiyono, Yus2, Author
Buytaert, Wouter2, Author
Capewell, Lucinda2, Author
Carlson, Hayley2, Author
Cavus, Yonca2, AuthorCouasnon, Anaïs2, AuthorCoxon, Gemma2, AuthorDaliakopoulos, Ioannis2, Authorde Ruiter, Marleen C.2, AuthorDelus, Claire2, AuthorErfurt, Mathilde2, AuthorEsposito, Giuseppe2, AuthorFrançois, Didier2, AuthorFrappart, Frédéric2, AuthorFreer, Jim2, AuthorFrolova, Natalia2, AuthorGain, Animesh K2, AuthorGrillakis, Manolis2, AuthorGrima, JordiOriol2, AuthorGuzmán, Diego A.2, AuthorHuning, Laurie S.2, AuthorIonita, Monica2, AuthorKharlamov, Maxim2, AuthorKhoi, Dao Nguyen2, AuthorKieboom, Natalie2, AuthorKireeva, Maria2, AuthorKoutroulis, Aristeidis2, AuthorLavado-Casimiro, Waldo2, AuthorLi, Hongyi2, AuthorLLasat, Maria Carmen2, AuthorMacdonald, David2, AuthorMård, Johanna2, AuthorMathew-Richards, Hannah2, AuthorMcKenzie, Andrew2, AuthorMejia, Alfonso2, AuthorMendiondo, Eduardo Mario2, AuthorMens, Marjolein2, AuthorMobini, Shifteh2, AuthorMohor, Guilherme Samprogna2, AuthorNagavciuc, Viorica2, AuthorNgo-Duc, Thanh2, AuthorNguyen, Huynh Thi Thao2, AuthorNhi, Pham Thi Thao2, AuthorPetrucci, Olga2, AuthorQuan, Nguyen Hong2, AuthorQuintana-Seguí, Pere2, AuthorRazavi, Saman2, AuthorRidolfi, Elena2, AuthorRiegel, Jannik2, AuthorSadik, Md Shibly2, AuthorSairam, Nivedita2, AuthorSavelli, Elisa2, AuthorSazonov, Alexey2, AuthorSharma, Sanjib2, AuthorSörensen, Johanna2, AuthorSouza, Felipe Augusto Arguello2, AuthorStahl, Kerstin2, AuthorSteinhausen, Max2, AuthorStoelzle, Michael2, AuthorSzalińska, Wiwiana2, AuthorTang, Qiuhong2, AuthorTian, Fuqiang2, AuthorTokarczyk, Tamara2, AuthorTovar, Carolina2, AuthorTran, Thi Van Thu2, Authorvan Huijgevoort, Marjolein H.J.2, Authorvan Vliet, Michelle T.H.2, AuthorVorogushyn, S.1, Author              Wagener, Thorsten2, AuthorWang, Yueling2, AuthorWendt, Doris E.2, AuthorWickham, Elliot2, AuthorYang, Long2, AuthorZambrano-Bigiarini, Mauricio2, AuthorWard, Philip J.2, Author more..
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2External Organizations, ou_persistent22              

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Free keywords: hydrological extremes, risk dynamics, human-flood system, human-drought system, socio-hydrology, risk management, flood, drought, environmental assessment > environmental risk assessment
 Abstract: As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.

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Language(s): eng - English
 Dates: 20232023
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.4.4.2023.001
GFZPOF: p4 T5 Future Landscapes
 Degree: -

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