| Journal: | Acta scientiarum. Agronomy |
| Database: | PERIÓDICA |
| System number: | 000460044 |
| ISSN: | 1679-9275 |
| Authors: | Farias, Vivian Dielly da Silva1 Costa, Deborah Luciany Pires2 Pinto, João Vitor de Novoa2 Souza, Paulo Jorge de Oliveira Ponte de2 Souza, Everaldo Barreiro de3 Ortega Farias, Samuel4 |
| Institutions: | 1Universidade Federal do Oeste do Para, Juruti, Para. Brasil 2Universidade Federal Rural da Amazonia, Belem, Para. Brasil 3Universidade Federal do Para, Belem, Para. Brasil 4Universidad de Talca, Centro de Investigacion y Transferencia en Riego y Agroclimatología, Talca. Chile |
| Year: | 2020 |
| Volumen: | 42 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | The use of empirical agrometeorological models that can be adjusted to the climatic conditions of different regions has become increasingly necessary to improve water management in grain-producing municipalities. The aim of this work is to examine the correlation between various reference evapotranspiration (ETo) estimation methods and the standard FAO 56 Penman-Monteith method, as well as to determine correction factors, when necessary, for crop-producing municipalities in the northeast of Pará, during both the rainy and dry seasons. We compared simpler methods of ETo estimation to the FAO 56 Penman-Monteith method. For this purpose, meteorological data from Tracuateua, Bragança, Capitão Poço and Castanhal, provided by the National Institute of Meteorology (INMET), were used. The calibration of equations was performed through linear regression. The accuracy of different estimation methods was examined. The Turc, FAO 24 Blaney-Criddle and regression methods presented the best results for all statistical criteria; the Priestley-Taylor, Makkink and FAO 24 Radiation methods presented excellent results after calibration. The methods of Camargo and Hargreaves-Samani produced the worst results for all the criteria |
| Disciplines: | Geociencias |
| Keyword: | Ciencias de la atmósfera, Evapotranspiración, Brasil, Modelo Penman-Monteith FAO 56, Modelos agrometeorológicos |
| Keyword: | Atmospheric sciences, Evapotranspiration, Brazil, FAO 56 Penman-Monteith method, Agrometeorological models |
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