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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
16/10/2012 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MEDEIROS, S. R. de; PINTO, H. M. S.; MARIN, F. R. |
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Afiliação: |
SÉRGIO RICARDO R. DE MEDEIROS; HELENA MARIA S. PINTO; FÁBIO RICARDO MARIN, CNPTIA. |
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Título: |
Evaluation of the model NASA/POWER for the estimate daily radiation data versus radiation daily observed data of the weather stations in Brazil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE METEOROLOGIA, 17.; ENCONTRO DE METEOROLOGIA DOS PAÍSES DO MERCOSUL E ASSOCIADOS, 1.; ENCONTRO SUL AMERICANO DE APLICAÇÕES DO SISTEMA EUMETCast PARA O MONITORAMENTO METEOROLÓGICO E AMBIENTAL, 4.; ENCONTRO DE METEOROLOGIA OPERACIONAL, 2., 2012, Gramado. Anais: programa. Gramado: UFRGS, 2012. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
SUMMARY: The meteorological data have always served as tools for decision support for agriculture, but data availability and quality are often a problem. This reality is very present in the data acquisition of daily solar radiation (SRAD), due to the process of acquisition of such data requires electronic integrators, sensors, and accurate calibration standards, which are rarely available. The NASA Office of Energy Resources World Forecast and estimated daily data of solar radiation based on satellite observations and atmospheric parameters derived from satellite observations and mathematical models. The data are available for a grid, worldwide, in 1 ° × 1 ° in geographic coordinates. In Brazil, the daily solar radiation data were generated from atmospheric attenuation extraterrestrial radiation (Q0). We compared data from NASA's daily solar radiation (SRADNP) with the data generated and available through the INPE of 18 stations (observed values of daily solar radiation, SRADOB). It was found that the observed versus estimated daily solar radiation showed a good correlation between the models, indicating that the model NASA / POWER is effective to estimate daily radiation data. |
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Palavras-Chave: |
Modelo NASA/POWER. |
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Thesagro: |
Radiação Solar. |
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Thesaurus Nal: |
Models; Solar radiation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02104nam a2200193 a 4500
001 1936857
005 2020-01-08
008 2012 bl uuuu u00u1 u #d
100 1 $aMEDEIROS, S. R. de
245 $aEvaluation of the model NASA/POWER for the estimate daily radiation data versus radiation daily observed data of the weather stations in Brazil.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE METEOROLOGIA, 17.; ENCONTRO DE METEOROLOGIA DOS PAÍSES DO MERCOSUL E ASSOCIADOS, 1.; ENCONTRO SUL AMERICANO DE APLICAÇÕES DO SISTEMA EUMETCast PARA O MONITORAMENTO METEOROLÓGICO E AMBIENTAL, 4.; ENCONTRO DE METEOROLOGIA OPERACIONAL, 2., 2012, Gramado. Anais: programa. Gramado: UFRGS$c2012
300 $c1 CD-ROM.
520 $aSUMMARY: The meteorological data have always served as tools for decision support for agriculture, but data availability and quality are often a problem. This reality is very present in the data acquisition of daily solar radiation (SRAD), due to the process of acquisition of such data requires electronic integrators, sensors, and accurate calibration standards, which are rarely available. The NASA Office of Energy Resources World Forecast and estimated daily data of solar radiation based on satellite observations and atmospheric parameters derived from satellite observations and mathematical models. The data are available for a grid, worldwide, in 1 ° × 1 ° in geographic coordinates. In Brazil, the daily solar radiation data were generated from atmospheric attenuation extraterrestrial radiation (Q0). We compared data from NASA's daily solar radiation (SRADNP) with the data generated and available through the INPE of 18 stations (observed values of daily solar radiation, SRADOB). It was found that the observed versus estimated daily solar radiation showed a good correlation between the models, indicating that the model NASA / POWER is effective to estimate daily radiation data.
650 $aModels
650 $aSolar radiation
650 $aRadiação Solar
653 $aModelo NASA/POWER
700 1 $aPINTO, H. M. S.
700 1 $aMARIN, F. R.
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Embrapa Agricultura Digital (CNPTIA) |
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| 1. |  | DIB, H. X.; OLIVEIRA, D. G. L. de; OLIVEIRA, C. F. R. de; TAVEIRA, G. B.; MELLO, E. de O.; VERBISCK, N. V.; CHANG, M. R.; CORRÊA JUNIOR, D.; GOMES, V. M.; MACEDO, M. L. R. Biochemical characterization of a Kunitz inhibitor from Inga edulis seeds with antifungal activity against Candida spp. Archives of Microbiology, v. 201, n. 2, p. 223?233, March 2019| Tipo: Artigo em Periódico Indexado |
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