Bridging physics and statistical learning methodologies for the accurate modeling of the radiative properties of non-uniform atmospheric paths-Reference-Cited by-同舟云学术

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Bridging physics and statistical learning methodologies for the accurate modeling of the radiative properties of non-uniform atmospheric paths

Published:2024-07 Issue: Volume:320 Page:108961
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

André F.^ORCID,Delage C.,Guilmard L.,Galtier M.,Cornet C.

Publisher

Elsevier BV

Reference28 articles.

1. Band model theory of radiation transport;Young,2013

2. Random Lorentz band model with exponential tailed S-1 line-intensity distribution function;Malkmus;J Opt Soc Am,1967

3. The spectral line based weighted-sum-of-gray-gases (SLW) model for prediction of radiative transfer in molecucular gases;Webb;Adv Heat Transf,2019

4. The elements of statistical learning: data mining, inference and prediction;Hastie,2017

5. A review of dimensionality reduction techniques for processing hyper-spectral optical signal;del Aguila;Light Eng,2019

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