Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

The process of evapotranspiration transfers liquid water from vegetation and soil surfaces to the atmosphere, the so-called latent heat flux ( ${Q_{{\text{LE}}}}$ ), and modulates the Earth’s energy, water, and carbon cycle. Vegetation controls ${Q_{{\text{LE}}}}$ by regulating leaf stomata opening...

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Bibliographic Details
Main Authors: Reda ElGhawi, Basil Kraft, Christian Reimers, Markus Reichstein, Marco Körner, Pierre Gentine, Alexander J Winkler
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
hybrid modeling
physics-constrained
machine learning
multi-task learning
evapotranspiration
surface resistance
Online Access:https://doi.org/10.1088/1748-9326/acbbe0

Internet

https://doi.org/10.1088/1748-9326/acbbe0

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