EventsThe 5th International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session S7. Meteorology of the event The 5th International Electronic Conference on Atmospheric Sciences
Published date
01 Aug, 2022
Academic Editor
author-avatarAnthony Lupo
Citation
Krystine Naranjo, Israel Borrajero Montejo, Statistical correction of the distribution of solar radiation, estimated by the Heliosat method for Cuba, in Proceedings of The 5th International Electronic Conference on Atmospheric Sciences, 16 July–31 July 2022, MDPI: Basel, Switzerland, doi: 10.3390/ecas2022-12862
Share
Email
Facebook
Twitter
LinkedIn

Statistical correction of the distribution of solar radiation, estimated by the Heliosat method for Cuba

1. Atmospheric Physics Center, Cuban Institute of Meteorology
Abstract

In this work, a statistical correction of the distribution of solar radiation in Cuba is obtained, estimated by the Heliosat method, using the images collected from the GOES-13 satellite, for the period 2012-2017. The need arises for an improvement in the update of the distribution of solar radiation in the country, because taking into account that the last characterization for the national territory, of the distribution of this resource, refers to the research of the year 2018 and prior to this, to that of the 1986-1991 period; when the maps obtained are compared with the values ​​of the stations, a certain overestimation of the solar radiation values ​​is observed. An improvement in the estimation of said resource, is required as a result of the problem raised in question, given the importance of this information as a renewable source of energy and its use in the evaluation of the helioenergic potential of Cuba.

Keywords
Heliosat
solar radiation
statistical correction
satellite.
Manuscript
Comparison of Aerosol Optical Depth from Satellite based observation over Surat region
The early 20th century warming in the East-European Plain climate: extreme drought in 1920-1940, atmospheric circulation anomalies and links with the sea ice variability