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Multi-scale analysis of six evapotranspiration products across China: Accuracy, uncertainty and spatiotemporal pattern

文献类型：期刊论文

作者Zuo, Lingfeng1,2; Zou, Lei1; Xia, Jun1,3; Zhang, Liping3; Cao, Hui4; She, Dunxian3
刊名JOURNAL OF HYDROLOGY
出版日期2025-04-01
卷号650页码:132516
关键词Associate Editor Evapotranspiration Spatiotemporal pattern Uncertainty Remote sensing China
ISSN号0022-1694
DOI10.1016/j.jhydrol.2024.132516
产权排序1
文献子类Article
英文摘要Evapotranspiration (ET) is an essential variable in the global water cycle. With the development of remote sensing techniques, multiple large-scale ET products based on different algorithms have been developed to accurately estimate ET. However, the performance of these products suffers from various factors, including input datasets, algorithms, and environmental factors. It is critical to analyze the accuracy, uncertainty and spatiotemporal pattern of various ET products for selecting the optimal product and understanding the ET process. In this study, we systematically compared the performance of six ET products, including ERA5-LAND, GLASS, GLDAS, GLEAM, PMLV2, and SSEBop, from 2005 to 2020 across China. The comparison was conducted at the monthly scale, utilizing eddy covariance observations from eight flux tower stations for point-scale evaluation, and employing the water balance method to derive ET in 24 basins for basin-scale assessment. The threecornered hat (TCH) method was then utilized to quantify the uncertainty of these products at basin-scale. Furthermore, we analyzed the spatiotemporal distribution of ET and its seasonal variation across China. The results revealed that all products effectively captured the ET variations across China at point and basin scales, particularly in semi-humid and semi-arid climate regions covered by forest, but with significant variability in metrics among these products. Generally, GLEAM and PMLV2 demonstrated the best correlation coefficient (r) and root mean squared deviation (RMSD), outperforming the others. The uncertainty analysis indicated that GLASS achieved the lowest uncertainty at 5.53 mm/month while SSEBop showed the highest uncertainty at 11.45 mm/month. Regarding the spatiotemporal pattern of ET, these products consistently displayed an ascending trend from northwest to southeast, with the annual ET ranging from 395.18 mm in SSEBop to 504.04 mm in ERA5-LAND. However, substantial interannual and seasonal discrepancies of ET were observed widespread throughout China. This research provides a reference for selecting and applying the suitable ET product in China to facilitate the sustainable water resource management.
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WOS关键词BALANCE SSEBOP MODEL ; LATENT-HEAT FLUX ; TERRESTRIAL EVAPOTRANSPIRATION ; SATELLITE ; EVAPORATION ; REANALYSIS ; SENSITIVITY ; DATASETS ; IMPACT
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
WOS记录号WOS:001390998300001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/211376]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Zou, Lei
作者单位1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan 430000, Peoples R China;
4.China Yangtze Power Co Ltd, Hubei Key Lab Intelligent Yangtze & Hydroelect Sci, Yichang 443000, Hubei, Peoples R China
推荐引用方式
GB/T 7714		 Zuo, Lingfeng,Zou, Lei,Xia, Jun,et al. Multi-scale analysis of six evapotranspiration products across China: Accuracy, uncertainty and spatiotemporal pattern[J]. JOURNAL OF HYDROLOGY,2025,650:132516.
APA Zuo, Lingfeng,Zou, Lei,Xia, Jun,Zhang, Liping,Cao, Hui,&She, Dunxian.(2025).Multi-scale analysis of six evapotranspiration products across China: Accuracy, uncertainty and spatiotemporal pattern.JOURNAL OF HYDROLOGY,650,132516.
MLA Zuo, Lingfeng,et al."Multi-scale analysis of six evapotranspiration products across China: Accuracy, uncertainty and spatiotemporal pattern".JOURNAL OF HYDROLOGY 650(2025):132516.

入库方式： OAI收割

来源：地理科学与资源研究所

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