Evaluation of an Artificial Neural Network based method for surface heat flux estimates over heterogeneous landscapes

A new Artificial Neural Network (ANN)-based method for measuring surface-layer fluxes at low cost without compromising accuracy is presented. It is based on a one-year dataset of surface sensible and latent heat fluxes from eddy-covariance stations, along with classical meteorological variables from...

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Bibliografske podrobnosti

Principais autores:	Mathilde Jomé, Fabienne Lohou, Marie Lothon, Lilan Fautrez, Antoine Vial, Solène Derrien, Antoine Royer, Maurin Zouzoua, Eric Pardyjak, Jason Kelley, Sophie Bastin
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-12-01
Serija:	Journal of the European Meteorological Society
Teme:	Artificial Neural Network Eddy-Covariance Surface Turbulent Heat Fluxes Surface Heterogeneity
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2950630125000158
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