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Leading Satellite-Based Evapotranspiration Products Insufficiently Capture Interannual Variability: Evidence From GRACE/FO and In Situ Observations

Zhao, Yanni, Hoeltgebaum, Lucas Emilio B., Kukal, Meetpal S., and Zhao, Meng, 2025. Leading Satellite-Based Evapotranspiration Products Insufficiently Capture Interannual Variability: Evidence From GRACE/FO and In Situ Observations. Geophysical Research Letters, 52(19):e2025GL116784, doi:10.1029/2025GL116784.

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BibTeX

@ARTICLE{2025GeoRL..5216784Z,
       author = {{Zhao}, Yanni and {Hoeltgebaum}, Lucas Emilio B. and {Kukal}, Meetpal S. and {Zhao}, Meng},
        title = "{Leading Satellite-Based Evapotranspiration Products Insufficiently Capture Interannual Variability: Evidence From GRACE/FO and In Situ Observations}",
      journal = {\grl},
     keywords = {evapotranspiration, GRACE, GLEAM, OpenET, water balance, AmeriFlux},
         year = 2025,
        month = oct,
       volume = {52},
       number = {19},
          eid = {e2025GL116784},
        pages = {e2025GL116784},
     abstract = "{Satellite-based evapotranspiration (ET) products such as OpenET and
        GLEAM are widely used for drought monitoring and ecosystem-
        climate studies. However, their ability to accurately capture
        interannual variability (IAV), a key requirement for such
        applications, remains under-evaluated. Here, we assessed IAV in
        OpenET and GLEAM using an independent water balance approach
        that combined precipitation, discharge, and GRACE/FO total water
        storage anomalies across nine river basins in the western United
        States. Even after accounting for observational uncertainty
        through a Monte Carlo approach, both products systematically
        underestimate IAV relative to water balance-based ET, by more
        than 60\% on average. This result is further supported by long-
        term tower measurements from AmeriFlux. We also demonstrated
        that ET sensitivity to climate and vegetation drivers in OpenET
        and GLEAM differ substantially from water balance-based
        estimates. These findings reveal important limitations in
        satellite-based ET products and highlight the need for improved
        IAV representation to support ecosystem and climate
        applications.}",
          doi = {10.1029/2025GL116784},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5216784Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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