Probabilistic post-processing of CAMS radiation services - Université de Lorraine
Conference Papers Year : 2023

Probabilistic post-processing of CAMS radiation services

Abstract

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.
05-Probabilistic_Postprocessing.pdf (1.58 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

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

Identifiers

  • HAL Id : hal-04302662 , version 1

Cite

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⟩
80 View
7 Download

Share

More