Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-1953-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1953-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan
Hikari Matsuda
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan
Masashi Fujiwara
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan
Yukiko Hirabayashi
Faculty of Engineering, Shibaura Institute of Technology, Tokyo, Japan
Shinta Seto
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan
Shinjiro Kanae
School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan
Taikan Oki
School of Engineering, University of Tokyo, Tokyo, Japan
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Cited
14 citations as recorded by crossref.
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- ASSESSMENT OF WATER DEMAND AND SUPPLY BALANCE IN TOKYO BY MODELLING ITS WATER DISTRIBUTION SYSTEM: STUDY ON WATER SUPPLY OF GLOBAL HYDROLOGICAL MODELS T. ODA et al. 10.2208/jscejj.23-16096
- Impact of Paddy Field Reservoirs on Flood Management in a Large River Basin of Japan D. Saha et al. 10.3390/su15086604
- Deciphering the black box of deep learning for multi-purpose dam operation modeling via explainable scenarios E. Lee & J. Kam 10.1016/j.jhydrol.2023.130177
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13 citations as recorded by crossref.
- The use of GRDC gauging stations for calibrating large-scale hydrological models P. Burek & M. Smilovic 10.5194/essd-15-5617-2023
- Improving river routing algorithms to efficiently implement canal water diversion schemes in global hydrological models N. Yoden et al. 10.3178/hrl.18.7
- Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
- Potential impact of diversion canals and retention areas as climate change adaptation measures on flood risk reduction: A hydrological modelling case study from the Chao Phraya River Basin, Thailand S. Padiyedath Gopalan et al. 10.1016/j.scitotenv.2022.156742
- INCORPORATING AQUEDUCTS TRANSFER THROUGH INDUS BASIN IRRIGATION SYSTEM TO GLOBAL HYDROLOGICAL MODEL N. YODEN et al. 10.2208/jscejhe.78.2_I_715
- Delivering the latest global water resource simulation results to the public J. Boulange et al. 10.1016/j.cliser.2023.100386
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
- Irrigation in the Earth system S. McDermid et al. 10.1038/s43017-023-00438-5
- Notable shifts beyond pre-industrial streamflow and soil moisture conditions transgress the planetary boundary for freshwater change M. Porkka et al. 10.1038/s44221-024-00208-7
- ASSESSMENT OF WATER DEMAND AND SUPPLY BALANCE IN TOKYO BY MODELLING ITS WATER DISTRIBUTION SYSTEM: STUDY ON WATER SUPPLY OF GLOBAL HYDROLOGICAL MODELS T. ODA et al. 10.2208/jscejj.23-16096
- Impact of Paddy Field Reservoirs on Flood Management in a Large River Basin of Japan D. Saha et al. 10.3390/su15086604
- Deciphering the black box of deep learning for multi-purpose dam operation modeling via explainable scenarios E. Lee & J. Kam 10.1016/j.jhydrol.2023.130177
- Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale L. Guillaumot et al. 10.5194/gmd-15-7099-2022
Latest update: 06 Dec 2024
Short summary
Global hydrological models (GHMs) are usually applied with a spatial resolution of about 50 km, but this time we applied the H08 model, one of the most advanced GHMs, with a high resolution of 2 km to Kyushu island, Japan. Since the model was not accurate as it was, we incorporated local information and improved the model, which revealed detailed water stress in subregions that were not visible with the previous resolution.
Global hydrological models (GHMs) are usually applied with a spatial resolution of about 50 km,...