An improved approach to determine aerosol properties from all-sky camera imagery: Sensitivity to the partially cloud scenes

Author:

Scarlatti F.ORCID,Gómez-Amo J.L.,Valdelomar P.C.,Estellés V.ORCID,Utrillas M.P.ORCID

Funder

Spain Ministry of Science and Innovation

Ministerio de Economía y Competitividad

Government of Valencia

Publisher

Elsevier BV

Reference40 articles.

1. Climate change 2013: The physical science basis, in contribution of working group I (WGI) to the fifth assessment report (AR5) of the intergovernmental panel on climate change (IPCC);Alexander,2013

2. The retrieval of aerosol optical properties based on a random forest machine learning approach: Exploration of geostationary satellite images;Bao;Remote Sens. Environ.,2023

3. The thin border between cloud and aerosol: Sensitivity of several ground based observation techniques;Calbó;Atmos. Res.,2017

4. Using a sky imager for aerosol characterization;Cazorla;Atmos. Environ.,2008

5. Technical note: Determination of aerosol optical properties by a calibrated sky imager;Cazorla;Atmos. Chem. Phys.,2009

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