Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions
文献类型：期刊论文
| 作者 | Jiang, Yongshan1,2; Liu, Zhaofei1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 13期号:24页码:18 |
| 关键词 | actual evapotranspiration remote sensing evapotranspiration generalized complementary relationship hydrological budget multispatial scales mountain region |
| DOI | 10.3390/rs13245096 |
| 通讯作者 | Liu, Zhaofei(zfliu@igsnrr.ac.cn) |
| 英文摘要 | Evapotranspiration (ET) is essential for connecting ecosystems and directly affects the water consumption of forests, grasslands, and farmlands. Eight global remote sensing-based ET (RS_ET) datasets generated using satellite imagery and ground-based observations were comprehensively assessed using monthly ET time series simulated by the water balance (WB) method at the catchment scale in the Hengduan Mountain (HDM) region, including the Nu River, Lancang River, and Jinsha River basins. The complementary relationship (CR) model, which derives ET from meteorological data, was also evaluated against WB-based ET (WB_ET). In addition, WB_ET, RS_ET, and CR-based ET (CR_ET) data were used to investigate ET spatial and temporal variations at the catchment, grid, and site scale, respectively. Most RS_ET datasets accurately simulated monthly ET with an average index of agreement ranging from 0.71-0.91. The Operational Simplified Surface Energy Balance dataset outperformed other RS_ET datasets, with Nash-Sutcliffe efficiency coefficient (NSE) and Kling-Gupta efficiency values of 0.80 and 0.90, respectively. RS_ET datasets generally performed better in northern semiarid areas than in humid southern areas. The monthly ET simulation by the CR model was consistent with that of the WB_ET in the HDM region, with mean values of correlation coefficient (cc) and NSE at each site of 0.89 and 0.68, respectively. The model showed better performance in simulating monthly ET in the Lancang River Basin than in the Nu River and Lancang River basins, with mean cc and NSE of 0.92 and 0.83, respectively. Generally, annual ET trends were consistent at the catchment, grid, and site scale, as estimated by the WB method, RS_ET datasets, and CR model. It showed a significant decreasing trend in the northern semiarid region of the HDM while exhibiting an increasing trend in the humid southern region. |
| WOS关键词 | LATENT-HEAT FLUX ; COMPLEMENTARY-RELATIONSHIP ; EVAPORATION ; WATER ; PRODUCTS ; MODIS ; TRENDS ; PERFORMANCE ; LANDSCAPES ; REANALYSIS |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA2006020202] ; National Natural Science Foundation of China[42171029] ; National Natural Science Foundation of China[41571027] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000737372200001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169082]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Zhaofei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Yongshan,Liu, Zhaofei. Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions[J]. REMOTE SENSING,2021,13(24):18. |
| APA | Jiang, Yongshan,&Liu, Zhaofei.(2021).Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions.REMOTE SENSING,13(24),18. |
| MLA | Jiang, Yongshan,et al."Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions".REMOTE SENSING 13.24(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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