Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration

Wu, Jie1,2; Feng, Yu1,3,4; Zheng, Chunmiao1,4; Zeng, Zhenzhong1

2023-07-01

10.1016/j.jhydrol.2023.129743

JOURNAL OF HYDROLOGY   影响因子和分区

0022-1694

1879-2707

Accurate terrestrial evapotranspiration (ET) estimation over complex surfaces with spatial heterogeneity is crucial for local, regional, and global applications. Currently, a variety of global ET products with different spatiotemporal resolutions have been developed and evaluated. However, little is known about their perfor-mance in capturing the heterogeneity of ET over complex surfaces. Focusing on the Heihe River Basin (HRB), a typical arid and semi-arid region that is hydrologically vulnerable, this study compared ET from eleven global ET products (six remotely-sensed ET, two land surface model ET, one hydrological model-based ET, one reanalysis ET, and one synthesis ET) and one regional ET dataset against dense eddy covariance observations in terms of the magnitude, seasonal cycle, and spatial pattern. In general, the remotely-sensed ET and synthesis ET out-performed other categories, with the operational Simplified Surface Energy Balance (SSEBop), Penman-Mon-teith-Leuning (PML), Moderate Resolution Imaging Spectroradiometer (MOD16) and Global LAnd Surface Satellite (GLASS) performing relatively better (root mean square error ranging from 1.22 to 1.57 mm d-1). Across all the land cover types, ET products reproduced a relatively feasible ET over the desert steppe, meadow, and barren, but substantially underestimated ET over ecosystems with high ET values but a low land area fraction over HRB (cropland, wetland, and forest). This highlights the importance of accurately representing the het-erogeneity and local climates in the complex land surfaces for ET quantification in regional water resource management.

Eddy covariance Arid regions Land cover types Remote sensing

SCI ; EI

英语

第一 ; 通讯

National Natural Science Foundation of China["42071022","41861124003"] ; Southern University of Science and Technology[29/Y01296122]

Engineering ; Geology ; Water Resources

Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources

WOS:001014714700001

ELSEVIER

20232614322808

Evapotranspiration ; Forestry ; Mean square error ; Radiometers ; Remote sensing ; Satellite imagery ; Surface measurement ; Water management

Meteorology:443 ; Water Resources:444 ; Satellites:655.2 ; Agricultural Equipment and Methods; Vegetation and Pest Control:821 ; Mathematical Statistics:922.2 ; Mechanical Variables Measurements:943.2 ; Radiation Measuring Instruments:944.7

ENGINEERING

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
2.Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark
3.CNRS, Lab Sci Climat & Environm, UMR 1572, CEA,UVSQ, F-91191 Gif Sur Yvette, France
4.EIT Inst Adv Study, Ningbo, Peoples R China

Wu, Jie,Feng, Yu,Zheng, Chunmiao,et al. Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration[J]. JOURNAL OF HYDROLOGY,2023,622.

Wu, Jie,Feng, Yu,Zheng, Chunmiao,&Zeng, Zhenzhong.(2023).Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration.JOURNAL OF HYDROLOGY,622.

Wu, Jie,et al."Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration".JOURNAL OF HYDROLOGY 622(2023).