Regionalization of catchment hydrological model parameters for global water resources simulations
Parameter regionalization of hydrological models is one of the most commonly used methods for hydrological prediction over ungauged catchments. Although there were many regional studies, there is no clear conclusion on the best-performing regionalization method for global hydrological modelling. The...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-03-01
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| Series: | Hydrology Research |
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| Online Access: | http://hr.iwaponline.com/content/53/3/441 |
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| author | Wen-yan Qi Jie Chen Lu Li Chong-Yu Xu Jingjing Li Yiheng Xiang Shaobo Zhang |
| author_facet | Wen-yan Qi Jie Chen Lu Li Chong-Yu Xu Jingjing Li Yiheng Xiang Shaobo Zhang |
| author_sort | Wen-yan Qi |
| collection | DOAJ |
| description | Parameter regionalization of hydrological models is one of the most commonly used methods for hydrological prediction over ungauged catchments. Although there were many regional studies, there is no clear conclusion on the best-performing regionalization method for global hydrological modelling. The objective of this study is to determine an appropriate global-scale regionalization scheme (GSRS) for global hydrological modelling. To this end, the performance of five regionalization methods with two different average options, two weighting approaches, and seven efficiency thresholds (i.e. Kling-Gupta efficiency (KGE) values to measure hydrological model performances) was compared over thousands of catchments based on four conceptual hydrological models. Results of nine global models from the Global Earth Observation for Integrated Water Resource Assessment (EartH2Observe) project were selected to validate the accuracy of GSRS in estimating global runoff. The results show that: (1) Spatial proximity method with the Inverse Distance Weighting method and the output average option offers the best regionalization result when using the KGE ≥ 0.5 as an efficiency threshold for all four hydrological models, (2) the regionalization-based global hydrological simulation schemes (RGHSs), i.e. the proposed GSRS combining with four hydrological models, consistently performs better than the nine global models from EartH2Observe project in the estimation of runoff for most catchments, with varying degrees of improvement in the median, upper and lower quartiles, and whiskers of each performance metric, and (3) the global long-term annual water resources estimated by RGHSs range between 42,592 and 46,810 km3/yr. HIGHLIGHTS
The performance of regionalization methods is evaluated with multiple hydrological models globally.;
A global-scale regionalization scheme (GSRS) is proposed for global hydrological modelling.;
The robust regionalization-based global hydrological simulation schemes (RGHSs), i.e. the proposed GSRS combining with four hydrological models, can produce reliable simulations of global water resources.; |
| first_indexed | 2024-04-13T23:26:08Z |
| format | Article |
| id | doaj.art-785cd01fbf20425fa3a46a178c0c9517 |
| institution | Directory Open Access Journal |
| issn | 1998-9563 2224-7955 |
| language | English |
| last_indexed | 2024-04-13T23:26:08Z |
| publishDate | 2022-03-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Hydrology Research |
| spelling | doaj.art-785cd01fbf20425fa3a46a178c0c95172022-12-22T02:25:03ZengIWA PublishingHydrology Research1998-95632224-79552022-03-0153344146610.2166/nh.2022.118118Regionalization of catchment hydrological model parameters for global water resources simulationsWen-yan Qi0Jie Chen1Lu Li2Chong-Yu Xu3Jingjing Li4Yiheng Xiang5Shaobo Zhang6 State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, 299 Bayi Road, Wuhan 430072, China State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, 299 Bayi Road, Wuhan 430072, China NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, 299 Bayi Road, Wuhan 430072, China Institute of Heavy Rain, China Meteorological Administration (CMA), Wuhan 430205, China State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, 299 Bayi Road, Wuhan 430072, China Parameter regionalization of hydrological models is one of the most commonly used methods for hydrological prediction over ungauged catchments. Although there were many regional studies, there is no clear conclusion on the best-performing regionalization method for global hydrological modelling. The objective of this study is to determine an appropriate global-scale regionalization scheme (GSRS) for global hydrological modelling. To this end, the performance of five regionalization methods with two different average options, two weighting approaches, and seven efficiency thresholds (i.e. Kling-Gupta efficiency (KGE) values to measure hydrological model performances) was compared over thousands of catchments based on four conceptual hydrological models. Results of nine global models from the Global Earth Observation for Integrated Water Resource Assessment (EartH2Observe) project were selected to validate the accuracy of GSRS in estimating global runoff. The results show that: (1) Spatial proximity method with the Inverse Distance Weighting method and the output average option offers the best regionalization result when using the KGE ≥ 0.5 as an efficiency threshold for all four hydrological models, (2) the regionalization-based global hydrological simulation schemes (RGHSs), i.e. the proposed GSRS combining with four hydrological models, consistently performs better than the nine global models from EartH2Observe project in the estimation of runoff for most catchments, with varying degrees of improvement in the median, upper and lower quartiles, and whiskers of each performance metric, and (3) the global long-term annual water resources estimated by RGHSs range between 42,592 and 46,810 km3/yr. HIGHLIGHTS The performance of regionalization methods is evaluated with multiple hydrological models globally.; A global-scale regionalization scheme (GSRS) is proposed for global hydrological modelling.; The robust regionalization-based global hydrological simulation schemes (RGHSs), i.e. the proposed GSRS combining with four hydrological models, can produce reliable simulations of global water resources.;http://hr.iwaponline.com/content/53/3/441global hydrological modellingglobal water resources estimatesregionalization |
| spellingShingle | Wen-yan Qi Jie Chen Lu Li Chong-Yu Xu Jingjing Li Yiheng Xiang Shaobo Zhang Regionalization of catchment hydrological model parameters for global water resources simulations Hydrology Research global hydrological modelling global water resources estimates regionalization |
| title | Regionalization of catchment hydrological model parameters for global water resources simulations |
| title_full | Regionalization of catchment hydrological model parameters for global water resources simulations |
| title_fullStr | Regionalization of catchment hydrological model parameters for global water resources simulations |
| title_full_unstemmed | Regionalization of catchment hydrological model parameters for global water resources simulations |
| title_short | Regionalization of catchment hydrological model parameters for global water resources simulations |
| title_sort | regionalization of catchment hydrological model parameters for global water resources simulations |
| topic | global hydrological modelling global water resources estimates regionalization |
| url | http://hr.iwaponline.com/content/53/3/441 |
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