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Une methode utilisant les techniques neuronales pour le calcul rapide de la distribution verticale du bilan radiatif thermique terrestre

Translated title of the contribution: A fast method using neural networks for computing the vertical distribution of the thermal component of the Earth radiative budget
  • F. Cheruy
  • , F. Chevallier
  • , J. J. Morcrette
  • , N. A. Scott
  • , A. Chedin

Research output: Contribution to journalArticlepeer-review

Abstract

A new method for computing the longwave radiative budget from the top of the atmosphere to the surface is presented. This approach, relying on multi-layer neural networks, is very efficient and should allow for benefiting from the best achievable accuracy in the longwave radiative transfer computations needed either by the numerical weather prediction or by the climate models.

Translated title of the contributionA fast method using neural networks for computing the vertical distribution of the thermal component of the Earth radiative budget
Original languageFrench
Pages (from-to)665-672
Number of pages8
JournalComptes Rendus - Academie des Sciences, Serie II: Mecanique, Physique, Chimie, Astronomie
Volume322
Issue number9
Publication statusPublished - 1 Dec 1996

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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