Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling
文献类型：期刊论文
| 作者 | Ma, Ning1; Zhang, Yongqiang1; Szilagyi, Jozsef2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2024-02-01 |
| 卷号 | 630页码:13 |
| 关键词 | Terrestrial evapotranspiration Water balance Benchmarking dataset Precipitation gauge undercatch ET modeling |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2024.130607 |
| 通讯作者 | Ma, Ning(ningma@igsnrr.ac.cn) ; Zhang, Yongqiang(zhangyq@igsnrr.ac.cn) |
| 英文摘要 | A thorough validation of global terrestrial evapotranspiration (ET) models requires reliable ground-observed ET data. While the open-access eddy-covariance flux measurements are widely used for such a purpose, they have certain drawbacks, and thus, other alternative publicly available reference datasets are urgently needed. Using remote sensing and ground-based observational data, this study provides water-balance-based evapotranspiration (ETwb) estimates for 56 large (>10(5) km(2)) river basins of the world over the 1983-2016 period. For each basin, the observed runoff and four different precipitation (Prec) data sources were combined with three types of terrestrial water storage change (dS) estimates, yielding altogether 12 annual ETwb time-series. An optimally merged ETwb time-series was eventually produced using the Bayesian-based three-cornered hat method. The relative uncertainty in the ETwb estimates is less than 10 % in most basins and it stems primarily from the uncertainty in Prec. In summary, this new ETwb dataset has the following advantages: i) The gauge undercatch in Prec was corrected, thus mitigating the well-known general underestimation of ET(wb )in mid- and high-latitudes; ii) Multiple Prec and dS datasets were combined to account for the uncertainty in the water balance approach, thereby enabling the quantification of the uncertainty in ETwb and its sources, and; iii) The ETwb dataset stretches more than three decades, making it appropriate for evaluating long-term trends in global ET models. This ET(wb )dataset is publicly available (https://data.tpdc.ac.cn/en/data/e010cd0d-0881-4e7e-9d63-d36992750b04) and may serve as a benchmarking tool to calibrate/validate large-scale ET models for an improved understanding of regional- and/or global-scale ET processes. |
| WOS关键词 | LAND EVAPORATION ; ENERGY ; FLUXNET ; DRIVEN ; VARIABILITY ; CLOSURE ; CARBON ; TOOL |
| 资助项目 | National Key R & D Program of China[2022YFC3002805] ; National Natural Science Foundation of China[42271029] ; CAS Youth Innovation Promotion Association[2023059] ; CAS Youth Innovation Promotion Association[2022RC003] ; CAS Youth Innovation Promotion Association[-0881-4e7e-9d63-d36992750b04] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001186949100001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R & D Program of China ; National Natural Science Foundation of China ; CAS Youth Innovation Promotion Association |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203958]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ma, Ning; Zhang, Yongqiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Budapest Univ Technol & Econ, Dept Hydraul & Water Resources Engn, Budapest, Hungary |
| 推荐引用方式 GB/T 7714 | Ma, Ning,Zhang, Yongqiang,Szilagyi, Jozsef. Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling[J]. JOURNAL OF HYDROLOGY,2024,630:13. |
| APA | Ma, Ning,Zhang, Yongqiang,&Szilagyi, Jozsef.(2024).Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling.JOURNAL OF HYDROLOGY,630,13. |
| MLA | Ma, Ning,et al."Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling".JOURNAL OF HYDROLOGY 630(2024):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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