中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial-temporal patterns of land surface evapotranspiration from global products

文献类型:期刊论文

作者Tang, Ronglin2,3; Peng, Zhong2,3; Liu, Meng4; Li, Zhao-Liang2,4; Jiang, Yazhen2,3; Hu, Yongxin3; Huang, Lingxiao2,3; Wang, Yizhe2,3; Wang, Junrui2,3; Jia, Li5
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2024-04-01
卷号304页码:28
关键词Evapotranspiration Canopy transpiration Soil evaporation Interception evaporation Spatio-temporal pattern Latent heat flux Remote sensing
ISSN号0034-4257
DOI10.1016/j.rse.2024.114066
通讯作者Peng, Zhong(pengzhong19@mails.ucas.edu.cn) ; Li, Zhao-Liang(lizhaoliang@caas.cn)
英文摘要Knowledge of spatio-temporal patterns of global land surface evapotranspiration (ET) is essential for understanding the exchanges of energy, water and carbon between the earth surface and atmosphere and responses to human activities, climate changes, and extreme weather events. This paper comprehensively reviewed accuracies and spatio-temporal patterns of 25 state-of-the-art global datasets of land surface ET from 2001 to 2018, where the global and/or local distributions of annual mean, interannual variability, and annual trend for both ET and its components [canopy transpiration (Ec), soil evaporation (Es), and interception evaporation (Ei)] were investigated. Overall, 23 out of the 25 ET products exhibited good consistency with monthly eddy covariance observations at 83 globally distributed sites, with the root mean square error (RMSE) ranging from similar to 19 mm/month to similar to 29 mm/month and the coefficient of determination (R-2) ranging from 0.45 to 0.76. Comparatively, almost all ET products were in good agreement with the water balance-based observations at 137 large basins worldwide, with the R-2 of >0.60 and the RMSE ranging from similar to 200 mm/yr to similar to 260 mm/yr. In general, remote sensing-based, machine learning-based, and hybrid-based ET products generally agreed better with site observations than reanalysis-based products. Global annual ET ranged from 530 mm/yr to 700 mm/yr with the ensemble mean of 628 +/- 44 mm/yr (excluding areas of the urban, barren, wetlands, permanent snow and ice, and water bodies). Most products captured consistent global spatial distributions of annual mean, interannual variability, and annual trends of land surface ET and its components. Both mean annual ET and its components generally decreased with increasing latitudes though with an increasing trend in time. Interannual variability also decreased with increasing latitudes and with an increasing trend in time, but only in the Northern Hemisphere; these signals were not clear in the Southern Hemisphere. Most of the 25 products presented unimodal shapes of frequency curves, and displayed a sequenced multi-year mean of seasonal ET of JJA > MAM > SON > DJF. The Ec exhibited the largest mean annual value, in most areas followed successively by the Es and Ei. The ET products displayed a relatively high consistency in the spatial distribution of the Ec/ET with higher estimates of Ec/ET in the Southern Hemisphere than in the Northern Hemisphere. This up-to-date review could benefit the understanding of the states and advances of global ET datasets, afford scientific instruction for the development and improvement of ET models and products, and serve as a basis for the choice of ET datasets for specific use.
WOS关键词ATMOSPHERE WATER FLUX ; LATENT-HEAT FLUX ; TERRESTRIAL EVAPOTRANSPIRATION ; EDDY-COVARIANCE ; MODEL ; EVAPORATION ; ENERGY ; CARBON ; UNCERTAINTY ; ALGORITHM
资助项目National Natural Science Foundation of China[42071332] ; National Natural Science Foundation of China[42271378] ; National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41922009] ; Key Project of Innovation LREIS[KPI007]
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001197409900001
出版者ELSEVIER SCIENCE INC
资助机构National Natural Science Foundation of China ; Key Project of Innovation LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/204143]  
专题中国科学院地理科学与资源研究所
通讯作者Peng, Zhong; Li, Zhao-Liang
作者单位1.Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
7.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210098, Jiangsu, Peoples R China
8.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
9.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
10.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Environm, Land Atmosphere Interact & its Climat Effects Grp, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Tang, Ronglin,Peng, Zhong,Liu, Meng,et al. Spatial-temporal patterns of land surface evapotranspiration from global products[J]. REMOTE SENSING OF ENVIRONMENT,2024,304:28.
APA Tang, Ronglin.,Peng, Zhong.,Liu, Meng.,Li, Zhao-Liang.,Jiang, Yazhen.,...&Fisher, Joshua B..(2024).Spatial-temporal patterns of land surface evapotranspiration from global products.REMOTE SENSING OF ENVIRONMENT,304,28.
MLA Tang, Ronglin,et al."Spatial-temporal patterns of land surface evapotranspiration from global products".REMOTE SENSING OF ENVIRONMENT 304(2024):28.

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来源:地理科学与资源研究所

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