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Communication Dans Un Congrès Année : 2023

Probabilistic post-processing of CAMS radiation services

Résumé

This study examines the feasibility of ML-based probabilistic post-processing of the Copernicus Atmospheric Services (CAMS) Surface Solar Irradiance (SSI) satellite retrieval model. We develop a probabilistic neural netowrk framework that not only produces a best estimate of SSI, but also a full probability distribution. The resulting model appeared slightly more consistent that its deterministic equivalent and, most importantly, proved its ability to deliver a condition-dependent estimate of the estimate uncertainty.
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Dates et versions

hal-04302662 , version 1 (23-11-2023)

Identifiants

  • HAL Id : hal-04302662 , version 1

Citer

Hadrien Verbois, Vadim Becquet, Yves-Marie Saint-Drenan, Benoît Gschwind, Philippe Blanc, et al.. Probabilistic post-processing of CAMS radiation services. PVPS IE task 16 expert meeting, Oct 2023, Adelaide, Australia. ⟨hal-04302662⟩
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