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Evaluation of ECOSTRESS Collection 2 Evapotranspiration Products: strengths and uncertainties for evapotranspiration modeling
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  • Zoe Amie Pierrat,
  • Adam J Purdy,
  • Gregory H Halverson,
  • Joshua B Fisher,
  • Kaniska Mallick,
  • Madeleine Pascolini-Campbell,
  • Youngryel RYU,
  • Martha C. Anderson,
  • Claire Villanueva-Weeks,
  • Margaret C Johnson,
  • Brenna Hatch,
  • Yun Yang,
  • Kerry Cawse-Nicholson
Zoe Amie Pierrat
Jet Propulsion Laboratory

Corresponding Author:[email protected]

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Adam J Purdy
University of San Francisco
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Gregory H Halverson
Jet Propulsion Laboratory, California Institute of Technology
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Joshua B Fisher
Chapman University
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Kaniska Mallick
Luxembourg Institute of Science and Technology
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Madeleine Pascolini-Campbell
NASA Jet Propulsion Laboratory
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Youngryel RYU
Seoul National University
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Martha C. Anderson
USDA-ARS
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Claire Villanueva-Weeks
Jet Propulsion Laboratory
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Margaret C Johnson
Jet Propulsion Laboratory
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Brenna Hatch
Jet Propulsion Laboratory
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Yun Yang
Cornell University
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Kerry Cawse-Nicholson
Jet Propulsion Laboratory, California Institute of Technology
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Abstract

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) collects thermal observations from the International Space Station to support evapotranspiration (ET) research at fine spatial resolutions (70 m x 70 m). Initial ET estimates from ECOSTRESS Collection 1 have been used in a wide range of scientific studies and applications, though subsequent analyses identified areas for improvement. This study provides an overview of updates to ECOSTRESS Collection 2 ET and presents an accuracy assessment of ET and auxiliary variables against in situ data from AmeriFlux. Key updates in Collection 2 include: four independent model estimates of ET and improved auxiliary forcing data. We find the multi-model ensemble ET estimate achieves a root mean square error (RMSE) of 109 Wm-2 for instantaneous observations and 1.5 mm/day for daily retrievals. When considering uncertainty in energy balance closure approaches for site-level data, the RMSE improves to 48 Wm-2 for instantaneous ET. We observe variable performance based on time of day of ECOSTRESS image acquisition, climate and vegetation type. Evaluation of auxiliary data highlight limitations in down-scaled net radiation and relative humidity, contributing to a diurnal hysteresis in ET estimates. We provide accuracy metrics and model sensitivity to auxiliary data to facilitate user confidence, data adoption, interpretation, and applications. ECOSTRESS is the only instrument capable of providing ET at different times of day at high spatial scales; thus, this work is an important step toward enhancing the capabilities of satellite-driven ET models in resolving diurnal ET variations and guiding directions for future improvements.
15 Nov 2024Submitted to ESS Open Archive
18 Nov 2024Published in ESS Open Archive