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| Registros recuperados : 17 | |
| 3. |  | OLIVEIRA JÚNIOR, G. G. de; SILVA, A. B. da; LIMA, M. A. de; SILVA, J. C. T. R. da; FLORENTINO, L. A.; APARECIDO, L. E. de O. Estimativa da emissão de CO2 equivalente em operações mecanizadas na cultura do cafeeiro. Revista em Agronegócio e Meio Ambiente, v. 13, n. 1, p. 301-316, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 4. | | MARTORANO, L. G.; MORAES, J. R. da S. C. de; LISBOA, L. S. S.; GOMES JUNIOR, R. A.; AMARAL, V. P. do; APARECIDO, L. E. de O. Expansion of palm oil (Elaeis guineensis Jacq.) in the state of Maranhão and soil water deficit limitations in the Brazilian Amazon. Australian Journal of Crop Science, v. 11, n. 11, p. 1386-1391, Nov. 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 6. | | MARTORANO, L. G.; SOARES, W. B.; MORAES, J. R. da S. C. de; NASCIMENTO, W.; APARECIDO, L. E. de O.; VILLA, P. M. Climatology of air temperature in Belterra: thermal regulation ecosystem services provided by the Tapajós National Forest in the Amazon. Revista Brasileira de Meteorologia, v. 36, n. 2, 327-337, 2021.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 8. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 10. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 12. | | PIMENTEL, M. S.; MARTORANO, L. G.; MARTINS, A. C. C. T.; WATRIN, O. dos S.; PONTES, A. N.; BARBOSA, A. M. da S.; MORAES, J. R. da S. C. de; APARECIDO, L. E. de O. Expressões fenológicas de palmeiras em coleções botânicas associadas às condições pluviais na Floresta Tapajós. Revista Ibero Americana de Ciências Ambientais, v. 9, n. 5, p. 39-50, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 13. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 14. | | ALVES, D. M. R.; MARTORANO, L. G.; MORAES, J. R. da S. C. de; NASCIMENTO, W.; APARECIDO, L. E. de O.; MELLO, K. K. de S.; SOUSA, E. D. V. de. Produtividade de cultivares de soja associada a graus-dia acumulados sob condição agrometeorológicas em Belterra (PA). Revista Ibero-Americana de Ciências Ambientais, v. 9, n. 6, p. 46-53, 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 15. | | MARTORANO, L. G.; MORAES, J. R. da S. C. de; SILVA, L. K. X.; FERNANDES, P. C. C.; AMARAL JÚNIOR, J. M. do; LISBOA, L. S.; NEVES, K. A. L.; PACHECO, A.; BELDINI, T. P.; APARECIDO, L. E. de O.; SILVA, W. C. da; GODINHO, V. de P. C. Agricultural and livestock production in the Amazon: a reflection on the necessity of adoption of integrated production strategies in the western region of the state of Pará. Australian Journal of Crop Science, v. 15, n. 08, p. 1102-1109, 2021.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Rondônia. |
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| 16. | | 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.| Biblioteca(s): Embrapa Acre; Embrapa Amazônia Oriental. |
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| 17. | | MARTORANO, L. G.; GUEDES, M. C.; LISBOA, L. S.; MORAES, J. R. da S. C. de; NASCIMENTO, N. C. C. do; SALOMÃO, R. de P.; MARTORANO, P. G.; APARECIDO, L. E. de O.; TOURNE, D. C. M.; DIAS, C. T. dos S.; LIRA-GUEDES, A. C.; REALE, F. C. G.; OLIVEIRA JUNIOR, R. C. de; SILVA, L. M. da; PEREIRA, M. G.; WADT, L. H. de O.; SILVA, K. E. da. Condições topoclimáticas e serviços ecossistêmicos prestados pelas castanheiras no Bioma Amazônia. In: WADT, L. H. de O.; MAROCCOLO, J. F.; GUEDES, M. C.; SILVA, K. E. da (ed.). Castanha-da-amazônia: estudos sobre a espécie e sua cadeia de valor. Brasília, DF: Embrapa, 2023. v. 1. cap. 12, p. 315-352. ODS 2, ODS 3, ODS 8, ODS 11, ODS 12, ODS 13, ODS 17.| Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Rondônia. |
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| Registros recuperados : 17 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
12/06/2023 |
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Data da última atualização: |
12/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
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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. |
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Título: |
Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Theoretical and Applied Climatology, v. 141, p. 803-816, 2020. |
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DOI: |
https://doi.org/10.1007/s00704-020-03231-2 |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Precipitação Pluvial; Temperatura. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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