Machine learning-driven characterization and prescription of aerosol optical properties for atmospheric models
Nilton E. Rosário, Karla Maria Longo, Pedro H. Toso, Saulo R. Freitas et autres
Abstract. Accurate modeling of aerosol optical properties is critical to simulate aerosol radiative effects. However, uncertainties regarding the simulation aerosol intensive optical properties are still significant. Therefore, the use of observations to constrain aerosol optical properties in models has been indicated as …
br, cu, pt (code pays fourni par la source)
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Geoscientific model development