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DOI | 10.1016/j.jhydrol.2021.126359 |
A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration | |
Zhang, Ling; Zhao, Yanbo; Ma, Qimin; Wang, Penglong; Ge, Yingchun; Yu, Wenjun | |
通讯作者 | Zhang, L (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China. |
发表日期 | 2021 |
ISSN | 0022-1694 |
EISSN | 1879-2707 |
卷号 | 599 |
英文摘要 | Satellite-based products can provide valuable information for model calibrations and evaluations. However, effectively and efficiently constraining hydrological models with both satellite-based information and streamflow measurements remains a challenge. Here, a parallel computing-based and spatially stepwise strategy that enables separate optimizations of different objective functions in a spatially distributed and parallel manner was proposed for model calibration with streamflow observations and satellite-based evapotranspiration (ET). The new calibration strategy (M5) was tested with the Soil and Water Assessment Tool (SWAT) model in the upper Heihe River basin of China, a mountainous watershed on the northeastern Qinghai-Tibet Plateau. The performance of M5 was evaluated and compared with two single-variable calibration strategies, i.e., streamflow-only calibration and ET-only calibration, and with two multivariate calibration methods, i.e., joint calibration and stepwise calibration. Results indicate that M5 achieves the best model performance among the five calibration strategies in reproducing temporal variations of streamflow and ET. Moreover, M5 improves the simulation of the spatial pattern of ET and attains a higher spatial efficiency than the other calibration strategies. M5 also exhibits a higher computational efficiency, with a magnitude up to 2 times greater than the other calibration strategies, due to the application of parallel computing. Further analysis demonstrates that the new calibration strategy can lead to a synergic relationship between the simulation accuracy of streamflow and ET, underscoring the added value of satellite-based products for model calibrations. |
关键词 | SOIL-MOISTUREMULTIOBJECTIVE CALIBRATIONMULTIVARIABLE CALIBRATIONCOVER CHANGEWATERUNCERTAINTYPERFORMANCEBASINSWATVALIDATION |
英文关键词 | Model calibration; Remote sensing; Computational efficiency; SWAT; Satellite-based ET; Heihe River basin |
语种 | 英语 |
WOS研究方向 | Engineering ; Geology ; Water Resources |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS记录号 | WOS:000673486000009 |
来源期刊 | JOURNAL OF HYDROLOGY |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254022 |
作者单位 | [Zhang, Ling; Zhao, Yanbo; Wang, Penglong; Ge, Yingchun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China; [Ma, Qimin] Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Peoples R China; [Yu, Wenjun] Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Ling,Zhao, Yanbo,Ma, Qimin,et al. A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration[J]. 中国科学院西北生态环境资源研究院,2021,599. |
APA | Zhang, Ling,Zhao, Yanbo,Ma, Qimin,Wang, Penglong,Ge, Yingchun,&Yu, Wenjun.(2021).A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration.JOURNAL OF HYDROLOGY,599. |
MLA | Zhang, Ling,et al."A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration".JOURNAL OF HYDROLOGY 599(2021). |
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