Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin
Thus far, reanalysis-based meteorological products have drawn little attention to the influence of meteorological elements of products on hydrological modeling. This study aims to evaluate the hydrological application potential of the precipitation, temperature, and solar radiation of the China Mete...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-03-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/22/3/3307 |
| _version_ | 1818009798376947712 |
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| author | Pengfei Gu Yongxiang Wu Guodong Liu Chengcheng Xia Gaoxu Wang Jing Xia Ke Chen Xiaohua Huang Daiyuan Li |
| author_facet | Pengfei Gu Yongxiang Wu Guodong Liu Chengcheng Xia Gaoxu Wang Jing Xia Ke Chen Xiaohua Huang Daiyuan Li |
| author_sort | Pengfei Gu |
| collection | DOAJ |
| description | Thus far, reanalysis-based meteorological products have drawn little attention to the influence of meteorological elements of products on hydrological modeling. This study aims to evaluate the hydrological application potential of the precipitation, temperature, and solar radiation of the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) and Climate Forecast System Reanalysis (CFSR) in an alpine basin. The precipitation, temperature, and solar radiation of the gauge-observed meteorological dataset (GD), CFSR, and CMADS were cross-combined, and 20 scenarios were constructed to drive the SWAT model. From the comprehensive comparisons of all scenarios, we drew the following conclusions: (1) among the three meteorological elements, precipitation has the greatest impact on the simulation results, and using GD precipitation from sparse stations yielded better performance than CMADS and CFSR; (2) although the SWAT modeling driven by CMADS and CFSR performed poorly, with CMADS underestimation and CFSR overestimation, the temperature and solar radiation of CMADS and CFSR can be an alternative data source for streamflow simulation; (3) models using GD precipitation, CFSR temperature, and CFSR solar radiation as input yielded the best performance in streamflow simulation, suggesting that these data sources can be applied to this data-scarce alpine region. HIGHLIGHTS
The performance of SWAT driven by a combination of multi-meteorological elements is evaluated for the first time in the YRSR.;
Precipitation, temperature, and solar radiation of two reanalysis-based meteorological products were tested in the alpine basin.;
Using the GD precipitation, CFSR temperature, and CFSR solar radiation drove SWAT to yield the best performance in the YRSR.; |
| first_indexed | 2024-04-14T05:46:34Z |
| format | Article |
| id | doaj.art-4109c7a3144a48ba81a6595679312e19 |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-04-14T05:46:34Z |
| publishDate | 2022-03-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-4109c7a3144a48ba81a6595679312e192022-12-22T02:09:15ZengIWA PublishingWater Supply1606-97491607-07982022-03-012233307332410.2166/ws.2021.397397Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basinPengfei Gu0Yongxiang Wu1Guodong Liu2Chengcheng Xia3Gaoxu Wang4Jing Xia5Ke Chen6Xiaohua Huang7Daiyuan Li8 State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, 225 Guangzhou Road, Nanjing 210029, China State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, 225 Guangzhou Road, Nanjing 210029, China State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, Sichuan Province, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, 225 Guangzhou Road, Nanjing 210029, China Thus far, reanalysis-based meteorological products have drawn little attention to the influence of meteorological elements of products on hydrological modeling. This study aims to evaluate the hydrological application potential of the precipitation, temperature, and solar radiation of the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) and Climate Forecast System Reanalysis (CFSR) in an alpine basin. The precipitation, temperature, and solar radiation of the gauge-observed meteorological dataset (GD), CFSR, and CMADS were cross-combined, and 20 scenarios were constructed to drive the SWAT model. From the comprehensive comparisons of all scenarios, we drew the following conclusions: (1) among the three meteorological elements, precipitation has the greatest impact on the simulation results, and using GD precipitation from sparse stations yielded better performance than CMADS and CFSR; (2) although the SWAT modeling driven by CMADS and CFSR performed poorly, with CMADS underestimation and CFSR overestimation, the temperature and solar radiation of CMADS and CFSR can be an alternative data source for streamflow simulation; (3) models using GD precipitation, CFSR temperature, and CFSR solar radiation as input yielded the best performance in streamflow simulation, suggesting that these data sources can be applied to this data-scarce alpine region. HIGHLIGHTS The performance of SWAT driven by a combination of multi-meteorological elements is evaluated for the first time in the YRSR.; Precipitation, temperature, and solar radiation of two reanalysis-based meteorological products were tested in the alpine basin.; Using the GD precipitation, CFSR temperature, and CFSR solar radiation drove SWAT to yield the best performance in the YRSR.;http://ws.iwaponline.com/content/22/3/3307alpine basincfsrcmadscombinationswat |
| spellingShingle | Pengfei Gu Yongxiang Wu Guodong Liu Chengcheng Xia Gaoxu Wang Jing Xia Ke Chen Xiaohua Huang Daiyuan Li Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin Water Supply alpine basin cfsr cmads combination swat |
| title | Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin |
| title_full | Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin |
| title_fullStr | Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin |
| title_full_unstemmed | Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin |
| title_short | Application of meteorological element combination-driven SWAT model based on meteorological datasets in alpine basin |
| title_sort | application of meteorological element combination driven swat model based on meteorological datasets in alpine basin |
| topic | alpine basin cfsr cmads combination swat |
| url | http://ws.iwaponline.com/content/22/3/3307 |
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