Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM
文献类型:期刊论文
作者 | Ma, Ning1,2,3; Szilagyi, Jozsef4,5; Jozsa, Janos4,6 |
刊名 | JOURNAL OF HYDROLOGY
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出版日期 | 2020-11-01 |
卷号 | 590页码:14 |
关键词 | Complementary relationship FLUXCOM Large-scale evapotranspiration Benchmarking Water balance |
ISSN号 | 0022-1694 |
DOI | 10.1016/j.jhydrol.2020.125221 |
通讯作者 | Ma, Ning(ma.n2007@aliyun.com) |
英文摘要 | Accurately quantifying large-scale terrestrial evapotranspiration (ET) remains hampered by poor parameterization of the physical processes that relate to ET. Previous studies suggested that the calibration-free complementary relationship (CR) method that requires only routine meteorological data performed better than main-stream atmospheric reanalyses, land surface or remote sensing models in estimating large-scale ET. Here we simultaneously evaluate the latest machine learning-based upscaling of eddy-covariance measurements (FLUXCOM) and the CR estimates against the water-balance derived ET rates of 18 large Hydrologic Unit Code-2 (HUC2) and 327 medium HUC6 basins across the conterminous United States. Overall, CR and FLUXCOM perform comparably in representing the multiyear mean and temporal variations in annual ET at both, HUC2 and HUC6, scales for the 1979-2013 period. Such equally good skills also hold true for the 2003-2015 period, during which FLUXCOM was driven solely by remote sensing data. However, the CR generally captures the longterm linear tendencies in annual ET rates somewhat better than FLUXCOM. Because of its minimal data requirement, the calibration-free version of the CR may continue to serve as a benchmarking tool for large-scale ET simulations. |
WOS关键词 | TERRESTRIAL EVAPOTRANSPIRATION ; DATA SETS ; EVAPORATION ; WATER ; PRECIPITATION ; PRODUCTS ; MACHINE ; FLUXES ; MODEL ; SOIL |
资助项目 | National Key Research and Development Program of China[2017YFA0603101] ; National Natural Science Foundation of China[41801047] ; State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, CAS[SKLCS-OP-2020-11] ; China Postdoctoral Science Foundation[2019T120139] ; BMEWater Sciences & Disaster Prevention FIKP grant of EMMI (BME FIKP-VIZ) |
WOS研究方向 | Engineering ; Geology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000599754500023 |
出版者 | ELSEVIER |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, CAS ; China Postdoctoral Science Foundation ; BMEWater Sciences & Disaster Prevention FIKP grant of EMMI (BME FIKP-VIZ) |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/137812] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Ma, Ning |
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.Chinese Acad Sci, State Key Lab Cryospher Sci, Lanzhou, Peoples R China 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China 4.Budapest Univ Technol & Econ, Dept Hydraul & Water Resources Engn, Budapest, Hungary 5.Univ Nebraska, Sch Nat Resources, Conservat & Survey Div, Lincoln, NE USA 6.Budapest Univ Technol & Econ, MTA BME Water Management Res Grp, Budapest, Hungary |
推荐引用方式 GB/T 7714 | Ma, Ning,Szilagyi, Jozsef,Jozsa, Janos. Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM[J]. JOURNAL OF HYDROLOGY,2020,590:14. |
APA | Ma, Ning,Szilagyi, Jozsef,&Jozsa, Janos.(2020).Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM.JOURNAL OF HYDROLOGY,590,14. |
MLA | Ma, Ning,et al."Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM".JOURNAL OF HYDROLOGY 590(2020):14. |
入库方式: OAI收割
来源:地理科学与资源研究所
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