Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal-Based Evaporation Modeling
AU - Mallick, Kaniska
AU - Baldocchi, Dennis
AU - Jarvis, Andrew
AU - Hu, Tian
AU - Trebs, Ivonne
AU - Sulis, Mauro
AU - Bhattarai, Nishan
AU - Bossung, Christian
AU - Eid, Yomna
AU - Cleverly, Jamie
AU - Beringer, Jason
AU - Woodgate, William
AU - Silberstein, Richard
AU - Hinko-Najera, Nina
AU - Meyer, Wayne S.
AU - Ghent, Darren
AU - Szantoi, Zoltan
AU - Boulet, Gilles
AU - Kustas, William P.
N1 - Publisher Copyright: © 2022 The Authors.
PY - 2022/8/16
Y1 - 2022/8/16
N2 - Global evaporation monitoring from Earth observation thermal infrared satellite missions is historically challenged due to the unavailability of any direct measurements of aerodynamic temperature. State-of-the-art one-source evaporation models use remotely sensed radiometric surface temperature as a substitute for the aerodynamic temperature and apply empirical corrections to accommodate for their inequality. This introduces substantial uncertainty in operational drought mapping over complex landscapes. By employing a non-parametric model, we show that evaporation can be directly retrieved from thermal satellite data without the need of any empirical correction. Independent evaluation of evaporation in a broad spectrum of biome and aridity yielded statistically significant results when compared with eddy covariance observations. While our simplified model provides a new perspective to advance spatio-temporal evaporation mapping from any thermal remote sensing mission, the direct retrieval of aerodynamic temperature also generates the highly required insight on the critical role of biophysical interactions in global evaporation research.
AB - Global evaporation monitoring from Earth observation thermal infrared satellite missions is historically challenged due to the unavailability of any direct measurements of aerodynamic temperature. State-of-the-art one-source evaporation models use remotely sensed radiometric surface temperature as a substitute for the aerodynamic temperature and apply empirical corrections to accommodate for their inequality. This introduces substantial uncertainty in operational drought mapping over complex landscapes. By employing a non-parametric model, we show that evaporation can be directly retrieved from thermal satellite data without the need of any empirical correction. Independent evaluation of evaporation in a broad spectrum of biome and aridity yielded statistically significant results when compared with eddy covariance observations. While our simplified model provides a new perspective to advance spatio-temporal evaporation mapping from any thermal remote sensing mission, the direct retrieval of aerodynamic temperature also generates the highly required insight on the critical role of biophysical interactions in global evaporation research.
KW - aerodynamic temperature
KW - canopy conductance
KW - evaporation
KW - thermal remote sensing
KW - VPD
KW - water stress
U2 - 10.1029/2021GL097568
DO - 10.1029/2021GL097568
M3 - Journal article
AN - SCOPUS:85135793723
VL - 49
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 15
M1 - e2021GL097568
ER -