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

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Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. / Wu, Jie; Feng, Yu; Zheng, Chunmiao; Zeng, Zhenzhong.

I: Journal of Hydrology, Bind 622, 129743, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wu, J, Feng, Y, Zheng, C & Zeng, Z 2023, 'Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration', Journal of Hydrology, bind 622, 129743. https://doi.org/10.1016/j.jhydrol.2023.129743

APA

Wu, J., Feng, Y., Zheng, C., & Zeng, Z. (2023). Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. Journal of Hydrology, 622, [129743]. https://doi.org/10.1016/j.jhydrol.2023.129743

Vancouver

Wu J, Feng Y, Zheng C, Zeng Z. Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. Journal of Hydrology. 2023;622. 129743. https://doi.org/10.1016/j.jhydrol.2023.129743

Author

Wu, Jie ; Feng, Yu ; Zheng, Chunmiao ; Zeng, Zhenzhong. / Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration. I: Journal of Hydrology. 2023 ; Bind 622.

Bibtex

@article{d07c29d024e1491f8c328e5ad553178b,
title = "Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration",
abstract = "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 performance 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 outperformed other categories, with the operational Simplified Surface Energy Balance (SSEBop), Penman-Monteith–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 heterogeneity and local climates in the complex land surfaces for ET quantification in regional water resource management.",
keywords = "Arid regions, Eddy covariance, Land cover types, Remote sensing",
author = "Jie Wu and Yu Feng and Chunmiao Zheng and Zhenzhong Zeng",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
doi = "10.1016/j.jhydrol.2023.129743",
language = "English",
volume = "622",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration

AU - Wu, Jie

AU - Feng, Yu

AU - Zheng, Chunmiao

AU - Zeng, Zhenzhong

N1 - Publisher Copyright: © 2023 Elsevier B.V.

PY - 2023

Y1 - 2023

N2 - 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 performance 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 outperformed other categories, with the operational Simplified Surface Energy Balance (SSEBop), Penman-Monteith–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 heterogeneity and local climates in the complex land surfaces for ET quantification in regional water resource management.

AB - 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 performance 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 outperformed other categories, with the operational Simplified Surface Energy Balance (SSEBop), Penman-Monteith–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 heterogeneity and local climates in the complex land surfaces for ET quantification in regional water resource management.

KW - Arid regions

KW - Eddy covariance

KW - Land cover types

KW - Remote sensing

U2 - 10.1016/j.jhydrol.2023.129743

DO - 10.1016/j.jhydrol.2023.129743

M3 - Journal article

AN - SCOPUS:85163369028

VL - 622

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

M1 - 129743

ER -

ID: 361839538