Evaluation of ECOSTRESS evapotranspiration estimates over heterogeneous landscapes in the continental US

Lili Liang, Yu Feng, Jie Wu, Xinyue He, Shijing Liang, Xin Jiang, Gabriel de Oliveira, Jianxiu Qiu, Zhenzhong Zeng*

*Corresponding author af dette arbejde

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    Abstract

    Remote sensing has become a data source long ago for estimating evapotranspiration (ET), but often with a dilemma between temporal and spatial resolution. The recent ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) reaches a satisfactory compromise. It provides 70 m spatial resolution and an average 4-day revisit cycle at different times of a day, making granular analysis of ET in diurnal changes and field-scale a reality. In this study, we assessed one instantaneous ET and two daily ECOSTRESS ET products (ECO3ETPTJPL & ECO3ETALEXI) at site scale, using 31 AmeriFlux towers in six regions spanning the continental US, during the period from July 2018 to September 2021. Assuming that eddy covariance sites within a region share similar climate features, we evaluated the capacity of ECOTSRESS to quantify the ET over heterogeneous landscapes. Generally, DisALEXI-JPL daily ET (R2 = 0.45) have stronger correlations with in-situ ET than both PT-JPL instantaneous ET (R2 = 0.23) and daily ET (R2 = 0.11), while they all tend to overestimate ET in most regions. The diurnal cycles of PT-JPL instantaneous ET and seasonal cycles of two daily ET were visualized site by site; all can show temporal variations of ET. Comparing ECOSTRESS ET across and within the six regions, we found that ECOSTRESS ET accuracy varies by region, regardless of their biomes. Understanding the mechanisms controlling ET and how different data sets are able to capture ET is essential for assessing how land cover changes and human-induced disturbances influence plant water use and stress. In this regard, our study provides a deep evaluation of ECOSTRESS ET, paving the ground for future studies aiming to describe ET across heterogeneous landscapes at a finer scale.

    OriginalsprogEngelsk
    Artikelnummer128470
    TidsskriftJournal of Hydrology
    Vol/bind613
    Antal sider12
    ISSN0022-1694
    DOI
    StatusUdgivet - 2022

    Bibliografisk note

    Funding Information:
    This study was supported by the National Natural Science Foundation of China ( 42071022 ) and the startup fund provided by the Southern University of Science and Technology ( 29/Y01296122 ). We thank all the principal researchers and teams for all the datasets and data-processing tools used in this study. And we thank the reviewers for their careful work and suggestions that helped improve this paper substantially.

    Publisher Copyright:
    © 2022 Elsevier B.V.

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