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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
12/06/2023 |
Data da última atualização: |
12/06/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; BISPO, R. C.; VALERIANO, T. T. B.; ESTEVES, J. T. |
Afiliação: |
JOSÉ REINALDO DA SILVA CABRAL DE MORAES, UNESP; GLAUCO DE SOUZA ROLIM, UNESP; LUCIETA GUERREIRO MARTORANO, CPATU; LUCAS EDUARDO DE OLIVEIRA APARECIDO, UNESP; RAFAEL CARLOS BISPO, UNICAMP; TAYNARA TUANY BORGES VALERIANO, UNESP; JOÃO TREVIZOLI ESTEVES, UNESP. |
Título: |
Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Theoretical and Applied Climatology, v. 141, p. 803-816, 2020. |
DOI: |
https://doi.org/10.1007/s00704-020-03231-2 |
Idioma: |
Inglês |
Conteúdo: |
We evaluated the performance of general atmosphere circulation model (GCM) from the European Center for Medium Range Weather Forecasts (ECMWF) for estimating surface air temperature (T) and precipitation (P) in 55 locations in the Brazilian Amazon. We compared data from surface meteorological stations obtained by the Brazilian Institute of Meteorology (INMET) and ECMWF by linear regression analysis (LRA) using R2 and Willmott et al. (J Geophys Res C5:8995?9005,1985) index (d) as measurement of precision and accuracy, respectively. We applied the Fourier series analysis by extracting the trend and frequency components of P events with noise reduction in the time series. We used the multivariate K-means method to separate weather stations by Groups of Similar Performances (GSPs). The northwest region is characterized as the area with the highest precipitation supply but the lowest performances for T and P, with R2 lower than 0.18. ECMWF tend to overestimate P in dry season and to underestimate in rainy season. The proposed methodology of calibration of P data by the Fourier series was a good tool to predict an extreme event every 5 to 7 months in the region. ECMWF presented high performance (R2 > 0.60) when estimating P in a monthly scale and medium performance (R2 < 0.60) when estimating T in a monthly and 10-day period. The highest concentrations of surface meteorological stations in the eastern/southeastern portion of the Amazon region were decisive in the ECMWF performance expression, indicating an increased meteorological predictability in the anthropic areas, precisely where the agricultural areas of grain were established in the region. MenosWe evaluated the performance of general atmosphere circulation model (GCM) from the European Center for Medium Range Weather Forecasts (ECMWF) for estimating surface air temperature (T) and precipitation (P) in 55 locations in the Brazilian Amazon. We compared data from surface meteorological stations obtained by the Brazilian Institute of Meteorology (INMET) and ECMWF by linear regression analysis (LRA) using R2 and Willmott et al. (J Geophys Res C5:8995?9005,1985) index (d) as measurement of precision and accuracy, respectively. We applied the Fourier series analysis by extracting the trend and frequency components of P events with noise reduction in the time series. We used the multivariate K-means method to separate weather stations by Groups of Similar Performances (GSPs). The northwest region is characterized as the area with the highest precipitation supply but the lowest performances for T and P, with R2 lower than 0.18. ECMWF tend to overestimate P in dry season and to underestimate in rainy season. The proposed methodology of calibration of P data by the Fourier series was a good tool to predict an extreme event every 5 to 7 months in the region. ECMWF presented high performance (R2 > 0.60) when estimating P in a monthly scale and medium performance (R2 < 0.60) when estimating T in a monthly and 10-day period. The highest concentrations of surface meteorological stations in the eastern/southeastern portion of the Amazon region were decisive in the ECMWF performance... Mostrar Tudo |
Thesagro: |
Precipitação Pluvial; Temperatura. |
Thesaurus Nal: |
Amazonia. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02446naa a2200241 a 4500 001 2154379 005 2023-06-12 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s00704-020-03231-2$2DOI 100 1 $aMORAES, J. R. da S. C. de 245 $aPerformance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon.$h[electronic resource] 260 $c2020 520 $aWe evaluated the performance of general atmosphere circulation model (GCM) from the European Center for Medium Range Weather Forecasts (ECMWF) for estimating surface air temperature (T) and precipitation (P) in 55 locations in the Brazilian Amazon. We compared data from surface meteorological stations obtained by the Brazilian Institute of Meteorology (INMET) and ECMWF by linear regression analysis (LRA) using R2 and Willmott et al. (J Geophys Res C5:8995?9005,1985) index (d) as measurement of precision and accuracy, respectively. We applied the Fourier series analysis by extracting the trend and frequency components of P events with noise reduction in the time series. We used the multivariate K-means method to separate weather stations by Groups of Similar Performances (GSPs). The northwest region is characterized as the area with the highest precipitation supply but the lowest performances for T and P, with R2 lower than 0.18. ECMWF tend to overestimate P in dry season and to underestimate in rainy season. The proposed methodology of calibration of P data by the Fourier series was a good tool to predict an extreme event every 5 to 7 months in the region. ECMWF presented high performance (R2 > 0.60) when estimating P in a monthly scale and medium performance (R2 < 0.60) when estimating T in a monthly and 10-day period. The highest concentrations of surface meteorological stations in the eastern/southeastern portion of the Amazon region were decisive in the ECMWF performance expression, indicating an increased meteorological predictability in the anthropic areas, precisely where the agricultural areas of grain were established in the region. 650 $aAmazonia 650 $aPrecipitação Pluvial 650 $aTemperatura 700 1 $aROLIM, G. de S. 700 1 $aMARTORANO, L. G. 700 1 $aAPARECIDO, L. E. de O. 700 1 $aBISPO, R. C. 700 1 $aVALERIANO, T. T. B. 700 1 $aESTEVES, J. T. 773 $tTheoretical and Applied Climatology$gv. 141, p. 803-816, 2020.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
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Registros recuperados : 11 | |
3. | | NUNES, F. L.; CAMARGO, M. B. P. de; FAZUOLI, L. C.; ROLIM, G. de S.; PEZZOPANE, J. R. M. Modelos agrometereológicos de estimativa da duração do estádio floração-maturação para três cultivares de café arábica. Bragantia, Campinas, v.69, n. 4, p.1011-1018, 2010.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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4. | | MEIRELES, E. J. L.; CAMARGO, M. B P. de; ROLIM, G. de S.; FAHL, J. I.; THOMAZIELLO, R. A.; VOLPATO, M. M. L. Condições agrometeorológicas e fenológicas do cafeeiro arábica em Guaxupé, MG, no ano agrícola 2007-2008. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais... Vitória: Consórcio Pesquisa Café, 2009.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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5. | | APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; MENESES, K. C. de; VALERIANO, T. T. B. Neural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates. Archives of Agronomy and Soil Science, v. 65, n. 11, p. 1477-1492, 2019.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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6. | | MORAES, J. R. da S. C.; MARTORANO, L. G.; BARBOSA, A. M. da S.; APARECIDO, L. E. de O.; ROLIM, G. de S. Performance do modelo ECMWF nas estimações de chuva e temperatura do ar no município de Belterra, Pará. In: SEMINÁRIO DE PESQUISA DA FLORESTA NACIONAL DO TAPAJÓS, 3.; SEMINÁRIO DE PESQUISA DA RESERVA EXTRATIVISTA TAPAJÓS ARAPIUNS, 1., 2017, Santarém. Anais... Santarém: Instituto Chico Mendes de Conservação da Biodiversidade: ICMBio, 2018. p. 171.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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7. | | PERUZZI, N. J.; MEYER, A. da S.; ROLIM, G. de S.; NATALE, W.; SOUZA, H. A. de; GABRIEL FILHO, L. R. A.; ROZANE, D. E.; CHAVARETTE, F. R. Modelagem fuzzy para previsão da produtividade de goiabeira 'Paluma' em sistema agroindustrial em função da época de poda e do estado nutricional. In: CONGRESSO BRASILEIRO DE SISTEMAS FUZZY, 2., 2012, Natal. Recentes avancos em sistemas "Fuzzy". Natal: Sociedade Brasileira de Matematica Aplicada e Computacional, 2012. p. 735-744.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Caprinos e Ovinos. |
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8. | | MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; OLIVEIRA, M. do S. P. de; FARIAS NETO, J. T. de. Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon. Journal of the Science of Food and Agriculture, v. 100, n. 4, p. 1558-1569, Mar. 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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9. | | MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; BISPO, R. C.; VALERIANO, T. T. B.; ESTEVES, J. T. Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon. Theoretical and Applied Climatology, v. 141, p. 803-816, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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10. | | VILLA, P. M.; MORAES, J. R. da S. C. de; MARTORANO, L. G.; MARTINS, S. V.; RODRIGUES, A. L.; GONZÁLES, B.; ROLIM, G. de S.; SILVA, A. S. da. Spatio-temporal variability of precipitation in the venezuelan Amazon. Revista Brasileira de Climatologia, Dourados, MS, v. 29, p. 626-649, jul./dez. 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 3 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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11. | | APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; SOARES, S. dos S.; MENESES, K. C. de; COSTA, C. T. S.; MESQUITA, D. Z.; BARBOSA, A. M. da S.; AMARAL, E. F. do; BARDALES, N. G. Neural networks in spatialization of meteorological elements and their application in the climatic agricultural zoning of bamboo. International Journal of Biometeorology, v. 62, n. 11, p. 1955-1962, Nov. 2018.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Acre; Embrapa Amazônia Oriental. |
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Registros recuperados : 11 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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