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

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

ElGhawi, R., Kraft, B., Reimers, C., Reichstein, M., Körner, M., Gentine, P., et al. (2022). Hybrid modeling of evapotranspiration: Inferring stomatal and aerodynamic resistances using combined physics-based and machine learning. ESSOAr. doi:10.1002/essoar.10512258.1.

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Date of Discard: 2023-03-07

Comment: Doppeleintrag

Creators:
ElGhawi, Reda^{1, 2}
Kraft, Basil³
Reimers, Christian²
Reichstein, Markus⁴
Körner, Marco
Gentine, Pierre
Winkler, Alexander²

Affiliations:
1IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497757
2Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3405368
3Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938311
4Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139

Dates: Submitted: 2022-08Accepted: 2022-08-30Published Online: 2022-09

Files: 1 File

Locators: 1 Locator

version ID: item_3404297_7

Item State: Discarded

Name of Context: Publications of the MPI for Biogeochemistry, Affiliated to: Max Planck Institute for Biogeochemistry