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| 1. |  | CARVALHAIS, M. C.; BRESSANIN, L. A.; RABÊLO, V. M.; MAGALHAES, P. C.; SOUZA, K. R. D.; SOUZA, T. C. de. Quitosana e seus derivados promovem o crescimento inicial de plântulas de milho sob déficit hídrico. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 105.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 2. | | REIS, C. O. dos; MAGALHAES, P. C.; AVILA, R. G.; ALMEIDA, L. G.; RABELO, V. M.; CARVALHO, D. T.; CABRAL, D. F.; KARAM, D.; SOUZA, T. C. de. Action of N-succinyl and N,O-dicarboxymethyl chitosan derivatives on chlorophyll photosynthesis and fluorescence in drought-sensitive maize. Journal of Plant Growth Regulation, v. 38, p. 619-630, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 3. | | RABELO, V. M.; MAGALHAES, P. C.; BRESSANIN, L. A.; CARVALHO, D. T.; REIS, C. O.; KARAM, D.; DORIGUETTO, A. C.; SANTOS, M. H. dos; SANTOS FILHO, P. R. dos; SOUZA, T. C. de. The foliar application of a mixture of semisynthetic chitosan derivatives induces tolerance to water deficit in maize, improving the antioxidant system and increasing photosynthesis and grain yield. Scientific Reports, v. 9, article n. 8164, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | BRESSANIN, L. A.; RABÊLO, V. M.; MAGALHAES, P. C.; CARVALHAIS, M. C.; GOMES JÚNIOR, C. C.; SANTOS FILHO, P. R. dos; SOUZA, K. R. D.; SOUZA, T. C. de. Derivados de quitosana promovem a atividade das enzimas antioxidantes em milho sob estresse salino. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 95.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 5. | | BRESSANIN, L. A.; RABÊLO, V. M.; MAGALHAES, P. C.; CARVALHAIS, M. C.; GOMES JÚNIOR, C. C.; SANTOS FILHO, P. R. dos; SOUZA, K. R. D.; SOUZA, T. C. de. Morfofisiologia de dois híbridos de milho tratados com derivados de quitosana e submetidos ao estresse salino. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 103.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 5 | |
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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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