Adaptive model predictions of daily total column ozone over the Amazon Inter-Tropical Confluence Zone
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 seas...
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| Formato: | article |
| Lenguaje: | EN ES |
| Publicado: |
Pontificia Universidad Javeriana
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f14bf569be974479ac071db26c39a6e6 |
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| Sumario: | 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.
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