Data-driven combination of METAR observations and CAMS reanalysis aerosols to enhance satellite retrieval of surface solar irradiance

Abstract Accurate solar irradiance forecasts are vital for photovoltaic (PV) power prediction, especially in tropical and subtropical regions affected by dust, wildfire smoke, and pollution. Yet, aerosol detection from satellites is often obstructed by clouds, AErosol RObotic NETwork (AERONET) stati...

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Bibliografiske detaljer

Principais autores:	Arindam Roy, Detlev Heinemann, Marion Schroedter-Homscheidt, Jorge Enrique Lezaca Galeano
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-02-01
Serier:	Scientific Reports
Fag:	Satellite-estimated solar irradiance Aerosol Classical and quantum learning CAMS McClear METAR
Online adgang:	https://doi.org/10.1038/s41598-026-39971-w
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