Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China
文献类型：期刊论文
| 作者 | Wang, Qiang1; Xia, Jun1,2 ; Zhang, Xiang1; She, Dunxian1; Liu, Jie1; Li, Pengjun1
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| 刊名 | WATER
 |
| 出版日期 | 2020-11-01 |
| 卷号 | 12期号:11页码:22 |
| 关键词 | CMADS SWAT model precipitation temperature Ganjiang River Basin |
| DOI | 10.3390/w12113243 |
| 通讯作者 | Xia, Jun(xiajun666@whu.edu.cn) |
| 英文摘要 | The lack of meteorological observation data limits the hydro-climatic analysis and modeling, especially for the ungauged or data-limited regions, while satellite and reanalysis products can provide potential data sources in these regions. In this study, three daily products, including two satellite products (Tropic Rainfall Measuring Mission Multi-Satellite Precipitation Analysis, TMPA 3B42 and 3B42RT) and one reanalysis product (China Meteorological Assimilation Driving Datasets for the SWAT Model, CMADS), were used to assess the capacity of hydro-climatic simulation based on the statistical method and hydrological model in Ganjiang River Basin (GRB), a humid basin of southern China. CAMDS, TMPA 3B42 and 3B42RT precipitation were evaluated against ground-based observation based on multiple statistical metrics at different temporal scales. The similar evaluation was carried out for CMADS temperature. Then, eight scenarios were constructed into calibrating the Soil and Water Assessment Tool (SWAT) model and simulating streamflow, to assess their capacity in hydrological simulation. The results showed that CMADS data performed better in precipitation estimation than TMPA 3B42 and 3B42RT at daily and monthly scales, while worse at the annual scale. In addition, CMADS can capture the spatial distribution of precipitation well. Moreover, the CMADS daily temperature data agreed well with observations at meteorological stations. For hydrological simulations, streamflow simulation results driven by eight input scenarios obtained acceptable performance according to model evaluation criteria. Compared with the simulation results, the models driven by ground-based observation precipitation obtained the most accurate streamflow simulation results, followed by CMADS, TMPA 3B42 and 3B42RT precipitation. Besides, CMADS temperature can capture the spatial distribution characteristics well and improve the streamflow simulations. This study provides valuable insights for hydro-climatic application of satellite and reanalysis meteorological products in the ungauged or data-limited regions. |
| WOS关键词 | PRECIPITATION ANALYSIS TMPA ; GLOBAL PRECIPITATION ; GRIDDED PRECIPITATION ; SPATIAL ASSESSMENT ; SATELLITE ; MODEL ; RAINFALL ; PRODUCTS ; TRMM ; TEMPERATURE |
| 资助项目 | National Key Research and Development Program of China[2016YFC0402709] ; National Natural Science Foundation of China[41890823] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000594240900001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/156375]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xia, Jun |
| 作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, 8 Donghu South Rd, Wuhan 430072, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Qiang,Xia, Jun,Zhang, Xiang,et al. Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China[J]. WATER,2020,12(11):22. |
| APA | Wang, Qiang,Xia, Jun,Zhang, Xiang,She, Dunxian,Liu, Jie,&Li, Pengjun.(2020).Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China.WATER,12(11),22. |
| MLA | Wang, Qiang,et al."Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China".WATER 12.11(2020):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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