English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Data Publication

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

Authors
/persons/resource/kreib

Kreibich,  H.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Schröter,  Kai
External Organizations;

Di Baldassarre,  Giuliano
External Organizations;

Van Loon,  Anne
External Organizations;

Mazzoleni,  Maurizio
External Organizations;

Abeshu,  Guta Wakbulcho
External Organizations;

Agafonova,  Svetlana
External Organizations;

AghaKouchak,  Amir
External Organizations;

Aksoy,  Hafzullah
External Organizations;

Alvarez-Garreton,  Camila
External Organizations;

Aznar,  Blanca
External Organizations;

Balkhi,  Laila
External Organizations;

Barendrecht,  Marlies H.
External Organizations;

Biancamaria,  Sylvain
External Organizations;

Bos-Burgering,  Liduin
External Organizations;

Bradley,  Chris
External Organizations;

Budiyono,  Yus
External Organizations;

Buytaert,  Wouter
External Organizations;

Capewell,  Lucinda
External Organizations;

Carlson,  Hayley
External Organizations;

Cavus,  Yonca
External Organizations;

Couasnon,  Anaïs
External Organizations;

Coxon,  Gemma
External Organizations;

Daliakopoulos,  Ioannis
External Organizations;

de Ruiter,  Marleen C.
External Organizations;

Delus,  Claire
External Organizations;

Erfurt,  Mathilde
External Organizations;

Esposito,  Giuseppe
External Organizations;

François,  Didier
External Organizations;

Frappart,  Frédéric
External Organizations;

Freer,  Jim
External Organizations;

Frolova,  Natalia
External Organizations;

Gain,  Animesh K
External Organizations;

Grillakis,  Manolis
External Organizations;

Grima,  JordiOriol
External Organizations;

Guzmán,  Diego A.
External Organizations;

Huning,  Laurie S.
External Organizations;

Ionita,  Monica
External Organizations;

Kharlamov,  Maxim
External Organizations;

Khoi,  Dao Nguyen
External Organizations;

Kieboom,  Natalie
External Organizations;

Kireeva,  Maria
External Organizations;

Koutroulis,  Aristeidis
External Organizations;

Lavado-Casimiro,  Waldo
External Organizations;

Li,  Hongyi
External Organizations;

LLasat,  Maria Carmen
External Organizations;

Macdonald,  David
External Organizations;

Mård,  Johanna
External Organizations;

Mathew-Richards,  Hannah
External Organizations;

McKenzie,  Andrew
External Organizations;

Mejia,  Alfonso
External Organizations;

Mendiondo,  Eduardo Mario
External Organizations;

Mens,  Marjolein
External Organizations;

Mobini,  Shifteh
External Organizations;

Mohor,  Guilherme Samprogna
External Organizations;

Nagavciuc,  Viorica
External Organizations;

Ngo-Duc,  Thanh
External Organizations;

Nguyen,  Huynh Thi Thao
External Organizations;

Nhi,  Pham Thi Thao
External Organizations;

Petrucci,  Olga
External Organizations;

Quan,  Nguyen Hong
External Organizations;

Quintana-Seguí,  Pere
External Organizations;

Razavi,  Saman
External Organizations;

Ridolfi,  Elena
External Organizations;

Riegel,  Jannik
External Organizations;

Sadik,  Md Shibly
External Organizations;

Sairam,  Nivedita
External Organizations;

Savelli,  Elisa
External Organizations;

Sazonov,  Alexey
External Organizations;

Sharma,  Sanjib
External Organizations;

Sörensen,  Johanna
External Organizations;

Souza,  Felipe Augusto Arguello
External Organizations;

Stahl,  Kerstin
External Organizations;

Steinhausen,  Max
External Organizations;

Stoelzle,  Michael
External Organizations;

Szalińska,  Wiwiana
External Organizations;

Tang,  Qiuhong
External Organizations;

Tian,  Fuqiang
External Organizations;

Tokarczyk,  Tamara
External Organizations;

Tovar,  Carolina
External Organizations;

Tran,  Thi Van Thu
External Organizations;

van Huijgevoort,  Marjolein H.J.
External Organizations;

van Vliet,  Michelle T.H.
External Organizations;

/persons/resource/vorogus

Vorogushyn,  S.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Wagener,  Thorsten
External Organizations;

Wang,  Yueling
External Organizations;

Wendt,  Doris E.
External Organizations;

Wickham,  Elliot
External Organizations;

Yang,  Long
External Organizations;

Zambrano-Bigiarini,  Mauricio
External Organizations;

Ward,  Philip J.
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

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


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018541
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.