ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO
This work aimed to determine over the Brazilian territory extreme air temperatures: maximum (Tx) and minimum (Tn) absolute, using multiple regression techniques, orbital data and climatological. The data of Tx and Tn were observed between the years of 1961 and 1990 in 204 meteorological stations by...
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| Format: | Article |
| Language: | English |
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Universidade Federal Rural do Semi-Árido
2011-01-01
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| Series: | Revista Caatinga |
| Online Access: | http://www.redalyc.org/articulo.oa?id=237119874016 |
| _version_ | 1818481546868293632 |
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| author | PABRÍCIO MARCOS OLIVEIRA LOPES MARCOS ADAMI ENIO BUENO PEREIRA GEBER BARBOSA DE ALBUQUERQUE MOURA MAURÍCIO ALVES MOREIRA |
| author_facet | PABRÍCIO MARCOS OLIVEIRA LOPES MARCOS ADAMI ENIO BUENO PEREIRA GEBER BARBOSA DE ALBUQUERQUE MOURA MAURÍCIO ALVES MOREIRA |
| author_sort | PABRÍCIO MARCOS OLIVEIRA LOPES |
| collection | DOAJ |
| description | This work aimed to determine over the Brazilian territory extreme air temperatures: maximum (Tx) and minimum (Tn) absolute, using multiple regression techniques, orbital data and climatological. The data of Tx and Tn were observed between the years of 1961 and 1990 in 204 meteorological stations by the National Institute of Meteorology (INMET), and topography information was obtained from the program Shuttle Radar Topography Mission (SRTM). The multiple regression models were validated with the observational data of 30 meteorological stations in different locations than those generated. The statistical analysis was performed using bootstrap techniques. The results showed that the multiple regression model for Tn presented good agreement with the observed data (R² = 0.86) showing no tendencies to overestimate or underestimate Tn. The Tn varied between -12 to 25 °C and the Tx between 31 and 42 °C. For the Tx the results were not as satisfactory. In a first approach, the limits of the Tn can be used for data quality control of the meteorological station. The map of Tn can be used to subsidize research in agroclimatic zoning in the region where these data are not available. |
| first_indexed | 2024-12-10T11:36:26Z |
| format | Article |
| id | doaj.art-2ab0ee8286d74254b0d32ab43f3f4210 |
| institution | Directory Open Access Journal |
| issn | 0100-316X 1983-2125 |
| language | English |
| last_indexed | 2024-12-10T11:36:26Z |
| publishDate | 2011-01-01 |
| publisher | Universidade Federal Rural do Semi-Árido |
| record_format | Article |
| series | Revista Caatinga |
| spelling | doaj.art-2ab0ee8286d74254b0d32ab43f3f42102022-12-22T01:50:24ZengUniversidade Federal Rural do Semi-ÁridoRevista Caatinga0100-316X1983-21252011-01-01243120127ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIROPABRÍCIO MARCOS OLIVEIRA LOPESMARCOS ADAMIENIO BUENO PEREIRAGEBER BARBOSA DE ALBUQUERQUE MOURAMAURÍCIO ALVES MOREIRAThis work aimed to determine over the Brazilian territory extreme air temperatures: maximum (Tx) and minimum (Tn) absolute, using multiple regression techniques, orbital data and climatological. The data of Tx and Tn were observed between the years of 1961 and 1990 in 204 meteorological stations by the National Institute of Meteorology (INMET), and topography information was obtained from the program Shuttle Radar Topography Mission (SRTM). The multiple regression models were validated with the observational data of 30 meteorological stations in different locations than those generated. The statistical analysis was performed using bootstrap techniques. The results showed that the multiple regression model for Tn presented good agreement with the observed data (R² = 0.86) showing no tendencies to overestimate or underestimate Tn. The Tn varied between -12 to 25 °C and the Tx between 31 and 42 °C. For the Tx the results were not as satisfactory. In a first approach, the limits of the Tn can be used for data quality control of the meteorological station. The map of Tn can be used to subsidize research in agroclimatic zoning in the region where these data are not available.http://www.redalyc.org/articulo.oa?id=237119874016 |
| spellingShingle | PABRÍCIO MARCOS OLIVEIRA LOPES MARCOS ADAMI ENIO BUENO PEREIRA GEBER BARBOSA DE ALBUQUERQUE MOURA MAURÍCIO ALVES MOREIRA ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO Revista Caatinga |
| title | ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO |
| title_full | ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO |
| title_fullStr | ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO |
| title_full_unstemmed | ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO |
| title_short | ESTIMATIVA DE TEMPERATURAS ABSOLUTAS USANDO DADOS CLIMÁTICOS E ORBITAIS SOBRE O TERRITÓRIO BRASILEIRO |
| title_sort | estimativa de temperaturas absolutas usando dados climaticos e orbitais sobre o territorio brasileiro |
| url | http://www.redalyc.org/articulo.oa?id=237119874016 |
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