The coupled hydrology–human activity information (CHHAI) dataset: a global benchmark dataset for model comparison and evaluation

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dc.creatorBoschee, Azara
dc.creatorAlborzi, Aneseh
dc.creatorAlexander, Augustina Clara
dc.creatorArheimer, Berit
dc.creatorBel Hadj Ali, Salsebil
dc.creatorBlöschl, Günter
dc.creatorCastelletti, Andrea
dc.creatorChen, Xi
dc.creatorDogra, Aniya
dc.creatorDu, Erhu
dc.creatorDuku, Jesse
dc.creatorFiori, Aldo
dc.creatorGarcia, Margaret
dc.creatorGrimaldi, Salvatore
dc.creatorHanasaki, Naota
dc.creatorKim, Yeonjoo
dc.creatorKreibich, Heidi
dc.creatorLi, Chenyuan
dc.creatorMatin, Mir
dc.creatorMedeiros, Pedro
dc.creatorMehran, Ali
dc.creatorMeira Neto, Antônio Alves
dc.creatorNakai, Fuko
dc.creatorNakamura, Shinichiro
dc.creatorNguyen, Phu
dc.creatorNobert, Joel
dc.creatorOwusu, Afua
dc.creatorGopalan, Saritha Padiyedath
dc.creatorPereira, Bruno
dc.creatorPouladi, Parsa
dc.creatorPouladi, Mehrsa
dc.creatorRoobavannan, Mahendran
dc.creatorSadegh, Mojtaba
dc.creatorSangiorgio, Matteo
dc.creatorSchoppa, Lukas
dc.creatorShrestha, Ashish
dc.creatorSivapalan, Murugesu
dc.creatorSousa, Deborah
dc.creatorSunkara, Sai Veena
dc.creatorTian, Fuqiang
dc.creatorTrabelsi, Fatma
dc.creatorVelpuri, Naga Manohar
dc.creatorVolpi, Elena
dc.creatorWang, Jiale
dc.creatorWang, Shuo
dc.creatorWu, Jiefeng
dc.creatorYuan, Xing
dc.creatorAghaKouchak, Amir
dc.date2026-06-04
dc.date2026-06-11T08:30:07Z
dc.date.accessioned2026-06-27T18:40:11Z
dc.descriptionTo enhance hydrologic modeling, the hydrology community has developed benchmark datasets (e.g. Model Parameter Estimation Experiment, MOPEX), providing standardized data for model evaluation and parameter estimation. However, these datasets primarily focus on modeling natural hydrologic processes, leaving a critical gap in understanding the role of human influences. Here, we introduce the Coupled Hydrology-Human Activity Information (CHHAI) dataset, a benchmark dataset that integrates coupled human–water data from regions across all continents, excluding Antarctica. CHHAI incorporates data from 25 regions that cover various human impacts such as reservoir management, flood protection, river management policies, land use changes, and water use. Each basin reflects distinct challenges, providing a diverse and globally representative resource for researchers studying these processes. By offering standardized datasets for modeling and analysis, CHHAI aims to enhance our understanding of interactions between people and water and to support the development of improved strategies for managing coupled human–water systems.
dc.identifierhttps://hdl.handle.net/10568/183301
dc.identifier.urihttp://hdl.handle.net/123456789/162252
dc.languageen
dc.publisherTaylor & Francis
dc.relationhttps://doi.org/10.1016/j.ejrh.2025.102377
dc.rightsOpen Access
dc.sourceBoschee, Azara, Aneseh Alborzi, Augustina Clara Alexander, et al. 2026. “The Coupled Hydrology–Human Activity Information (CHHAI) Dataset: A Global Benchmark Dataset for Model Comparison and Evaluation.” Hydrological Sciences Journal, ahead of print, June 4. https://doi.org/10.1080/02626667.2026.2663050.
dc.subjecthydrology
dc.subjectdatasets
dc.subjectmodels
dc.subjecthydrological modelling
dc.subjectwater systems
dc.subjectbasins
dc.titleThe coupled hydrology–human activity information (CHHAI) dataset: a global benchmark dataset for model comparison and evaluation
dc.typeJournal Article

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Instituto Internacional para el Manejo del Agua (IWMI)