Open AccessAdaptive model predictions of daily total column ozone over the Amazon Inter-Tropical Confluence Zone
Author(s) -
Julio César González-Navarrete,
J. Salamanca
Publication year - 2019
Publication title -
universitas scientiarum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 10
eISSN - 2027-1352
pISSN - 0122-7483
DOI - 10.11144/javeriana.sc24-3.ampo
Subject(s) - intertropical convergence zone , tropics , equator , amazon rainforest , environmental science , climatology , confluence , column (typography) , atmospheric sciences , satellite , tropical atlantic , sunspot , geography , meteorology , latitude , geology , mathematics , physics , biology , ecology , geodesy , computer science , precipitation , geometry , sea surface temperature , connection (principal bundle) , astronomy , quantum mechanics , magnetic field , programming language
The aim of this paper is to broaden the scope of a recent adaptive model in order to obtain predictions of total column ozone (TCO) trends over the Amazon Inter-Tropical Confluence Zone (ITCZ). The adaptive model makes daily TCO predictions over the tropical equator-Andes-Region, relying on seasonal patterns and the solar cycle. This study uses daily observations of the sunspot number cycle, given by the World Data Center for the production, preservation and dissemination of the international sunspot number (Royal Observatory of Belgium), and satellite total-column ozone data, collected by NASA (January 1979 to April 2018), for two Colombian locations: one in and one adjacent to the ITCZ. The agreement between daily total-column predictions by the adaptive model and satellite observations is excellent. Daily averaged relative errors around of 3.7 % and 2.8 % for both locations are reported herein.