Quantitative assessment of the impact of biomass burning episodes on surface solar radiation using machine learning technology: A case study of a pollution event in Beijing-Reference-Cited by-同舟云学术

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Quantitative assessment of the impact of biomass burning episodes on surface solar radiation using machine learning technology: A case study of a pollution event in Beijing

Published:2023-02 Issue: Volume:243 Page:106022
ISSN:1364-6826
Container-title:Journal of Atmospheric and Solar-Terrestrial Physics
language:en
Short-container-title:Journal of Atmospheric and Solar-Terrestrial Physics

Author:

Li Zhigang,Yang Xin,Tang Hong,Yang Shili

Publisher

Elsevier BV

Subject

Space and Planetary Science,Atmospheric Science,Geophysics

Reference57 articles.

1. Seasonal analyses of SSR on flat ground for different stat of sky: case of Nouakchott, Mauritania;Abdi;Int. J. Phys. Sci.,2019

2. FAO Irrigation and drainage paper No. 56;Allen;Food and Agriculture Organization of the United Nations,1998

3. A case study on biomass burning aerosols: effects on aerosol optical properties and surface radiation levels;Arola;Atmos. Chem. Phys.,2007

4. Biomass burning aerosols in most climate models are too absorbing;Brown;Nat. Commun.,2021

5. Physics-guided machine learning for improved accuracy of the National SSR Database;Buster;Sol. Energy,2022

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