GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season
文献类型：期刊论文
| 作者 | Liu, Xingcai2 ; Tang, Qiuhong2,3; Hosseini-Moghari, Seyed-Mohammad2; Shi, Xiaogang4; Lo, Min-Hui1; Scanlon, Bridget5
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 13期号:10页码:12 |
| 关键词 | streamflow forecast terrestrial water storage GRACE low-flow season water tower |
| DOI | 10.3390/rs13101993 |
| 通讯作者 | Tang, Qiuhong(tangqh@igsnrr.ac.cn) |
| 英文摘要 | Terrestrial water storage (TWS) in high mountain areas contributes large runoff volumes to nearby lowlands during the low-flow season when streamflow is critical to downstream water supplies. The potential for TWS from GRACE (Gravity Recovery and Climate Experiment) satellites to provide long-lead streamflow forecasting in adjacent lowlands during the low-flow season was assessed using the upper Yellow River as a case study. Two linear models were trained for forecasting monthly streamflow with and without TWS anomaly (TWSA) from 2002 to 2016. Results show that the model based on streamflow and TWSA is superior to the model based on streamflow alone at up to a five-month lead-time. The inclusion of TWSA reduced errors in streamflow forecasts by 25% to 50%, with 3-5-month lead-times, which represents the role of terrestrial hydrologic memory in streamflow changes during the low-flow season. This study underscores the high potential of streamflow forecasting using GRACE data with long lead-times that should improve water management in mountainous water towers and downstream areas. |
| WOS关键词 | SOIL-MOISTURE MEMORY ; YELLOW-RIVER BASIN ; CLIMATE-CHANGE ; VARIABILITY ; IMPACTS ; REGIME |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; National Natural Science Foundation of China[41877164] ; National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41790424] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000662647400001 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/164140]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Qiuhong |
| 作者单位 | 1.Natl Taiwan Univ, Dept Atmospher Sci, Taipei 10617, Taiwan 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Glasgow, Sch Interdisciplinary Studies, Dumfries DG1 4ZL, Scotland 5.Univ Texas Austin, Bur Econ Geol, Jackson Sch Geosci, Austin, TX 78712 USA |
| 推荐引用方式 GB/T 7714 | Liu, Xingcai,Tang, Qiuhong,Hosseini-Moghari, Seyed-Mohammad,et al. GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season[J]. REMOTE SENSING,2021,13(10):12. |
| APA | Liu, Xingcai,Tang, Qiuhong,Hosseini-Moghari, Seyed-Mohammad,Shi, Xiaogang,Lo, Min-Hui,&Scanlon, Bridget.(2021).GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season.REMOTE SENSING,13(10),12. |
| MLA | Liu, Xingcai,et al."GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season".REMOTE SENSING 13.10(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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