Hydrologic Model Calibration With Remote Sensing Data Products in Global Large Basins
文献类型：期刊论文
| 作者 | Liu, Xiaomang4; Yang, Kun3; Ferreira, Vagner G.1,2; Bai, Peng4 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 58期号:12页码:11 |
| 关键词 | remote sensing product hydrologic model parameter calibration runoff simulation |
| ISSN号 | 0043-1397 |
| DOI | 10.1029/2022WR032929 |
| 通讯作者 | Liu, Xiaomang(liuxm@igsnrr.ac.cn) |
| 英文摘要 | Parameters of hydrologic models are typically calibrated using in situ runoff observations. This calibration strategy cannot be implemented when runoff observations are not available. Additionally, the high accuracy of runoff simulation does not guarantee high simulation accuracy of other hydrologic variables, such as evaporation (ET) and terrestrial water storage change (TWSC), leading to uncertainties in hydrologic predictions. To overcome the shortcomings of the runoff-based calibration strategy, ET and TWSC products from remote sensing were used to design parameter calibration schemes in 59 large basins worldwide. Runoff observations were used to evaluate the effects of different calibration schemes. Results show that single-objective calibration schemes using the ET or TWSC products for parameter calibrations cannot obtain acceptable runoff simulations. Multi-objective calibration schemes using the combination of ET and TWSC products for parameter calibrations had better runoff simulation accuracy. The multi-objective calibration scheme using the combination of ET product adjusted by the Budyko formula and TWSC product as the calibration objective had the best runoff simulation accuracy. It is necessary to adjust ET products before using them for parameter calibrations of hydrologic models. The Budyko formula can be used to reduce the bias in remote sensing ET products, thereby providing better constraints on hydrologic simulations. We also find that different precipitation products used as inputs to hydrologic models can significantly affect the accuracy of runoff simulations. The results are expected to promote the application of remote sensing products in hydrologic simulations and predictions. |
| WOS关键词 | GENETIC ALGORITHM ; GRACE DATA ; EVAPOTRANSPIRATION ; EVAPORATION ; SOIL ; SATELLITE ; PRECIPITATION ; WATER |
| 资助项目 | National Key Research and Development Program of China ; Natural Science Foundation of China ; [2018YFA0605404] ; [41922050] |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000929776300001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Key Research and Development Program of China ; Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190104]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xiaomang |
| 作者单位 | 1.Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China 2.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing, Peoples R China 3.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Xiaomang,Yang, Kun,Ferreira, Vagner G.,et al. Hydrologic Model Calibration With Remote Sensing Data Products in Global Large Basins[J]. WATER RESOURCES RESEARCH,2022,58(12):11. |
| APA | Liu, Xiaomang,Yang, Kun,Ferreira, Vagner G.,&Bai, Peng.(2022).Hydrologic Model Calibration With Remote Sensing Data Products in Global Large Basins.WATER RESOURCES RESEARCH,58(12),11. |
| MLA | Liu, Xiaomang,et al."Hydrologic Model Calibration With Remote Sensing Data Products in Global Large Basins".WATER RESOURCES RESEARCH 58.12(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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