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| Registros recuperados : 15 | |
| 8. |  | SILVA, J. X. da; MEDRONHO, R. A.; SAITO, C. H.; ABDO, O. E.; PINTO, C. A. L.; JURBERG, R. Mapeamento socio-economico com uso de geoprocessamento - estudo de caso - Parque Fluminense, Duque de Caxias - Rio de Janeiro. In: SEMANA ESTADUAL DE GEOPROCESSAMENTO, 1., 1996, Rio de Janeiro. Geoprocessamento: mitos e realidade. Rio de Janeiro: FGeo-RJ, 1996. p.120-130| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | LEITAO, R. C.; FREITAS, A. V.; SOUZA, F. J. de; SILVA, J. X. da; DANTAS, M. C.; BRÍGIDA, A. I. S.; CASSALES, A. R.; PINTO, G. A. S.; SANTAELLA, S. T. Produção de biogás a partir do líquido do pseudocaule da bananeira. Fortaleza: Embrapa Agroindústria Tropical, 2012. 8 P. (Embrapa Agroindústria Tropical. Comunicado técnico, 187).| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 10. | | GOES, M. H. de B.; SILVA, J. X. da; BERGAMO, R. B. A.; FERREIRA, A. L.; IEVOLINO, P.; ROCHA, E. do N.; PACHECO, E. A.; SILVEIRA, R. S. da; MACHADO, R. D.; COSTA, W. P. Uma contribuicao ao geoprocessamento para avaliacao ambiental da reserva biologica do macico do tingua e arredores: a base de dados geocodificada. In: SEMANA ESTADUAL DE GEOPROCESSAMENTO, 1., 1996, Rio de Janeiro. Geoprocessamento: mitos e realidade. Rio de Janeiro: FGeo-RJ, 1996. p.390-402| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | GÓES, M. H. de B.; SILVA, J. X. da; RODRIGUES, A. F.; CAVALCANTE, M. S. G.; RONCARATTI, H.; CRAVO, C. D.; MENEZES, L. F. T. de; ANJOS, L. H. C. dos; VALADARES, G. S.; PEREIRA, M. G. Modelo digital para a Restinga e Paleoilha da Marambaia, Rio de Janeiro. In: MENEZES, L. F. T. de; PEIXOTO, A. L.; ARAUJO, D. S. D. (Ed.). História natural da Marambaia. Seropédica: EDUR, 2005. p. 231-284, il. 54 p. folha avulsas| Biblioteca(s): Embrapa Territorial. |
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| 12. | | CARRARA, E. R.; LOPES, P. S.; REIS, A. C. Z.; SILVA, J. X.; DIAS, L. C. de C. M.; SCHULTZ, E. B.; MARQUES, D. B. D.; SILVA, D. A. da; VERONEZE, R.; ANDRADE, R. G.; PEIXOTO, M. G. C. D. NASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data. International Journal of Biometeorology, v. 67, n. 7, p. 1273-1277, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | LIMA, L. M. C. A.; SILVA, J. X. da; GOES, M. H. B.; CALHEIROS, S. Q.; COSTA, J. de A.; RAMOS, V. A.; GOES FILHO, J. P.; FERREIRA, A. L.; BERGAMO, R.; GUIMARAES JUNIOR, S. A.; SANTOS, L. R. dos; SANTOS, J. V. dos; LIMA, V. P. de. Maceio: potencial turistico com base na tecnologia de sistema geografico de informacao. In: SEMANA ESTADUAL DE GEOPROCESSAMENTO, 1., 1996, Rio de Janeiro. Geoprocessamento: mitos e realidade. Rio de Janeiro: FGeo-RJ, 1996. p.246-253| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | LIMA, L. M. C. A. de; GOES, M. H. de B.; SILVA, J. X. da; RAMOS, V. A.; COSTA, J. de A.; CALHEIROS, S. Q. C.; FERREIRA, A. L.; SILVA, A. P. L. da; SILVA, J. P.; BARROS, M. de S.; CAVALCANTE, M. S. G. Aplicacao da carta geoprocessada de proximidade no planejamento ambiental de Maceio-AL. In: SEMANA ESTADUAL DE GEOPROCESSAMENTO, 1., 1996, Rio de Janeiro. Geoprocessamento: mitos e realidade. Rio de Janeiro: FGeo-RJ, 1996. p.141-146| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | AQUINO, A. M. de; ABBOUD, A. C. de S.; ALMEIDA, D. L. de; TEIXEIRA, E. de A.; SILVA, J. X. da; ESPINDOLA, J. A. A.; GUERRA, J. G. M.; LEAL, M. A. de A.; NEVES, M. C. P.; GÓIS, M. H. B. de; UZEDA, M. C.; AZEVEDO, M. dos S. F. R. de; RIBEIRO, R. de L. D.; ASSIS, R. L. de; MARINO, T. B. Novas tendências. In: ABBOUD, A. C. de S.(Org). Introdução à agronomia. Rio de Janeiro: Interciência, 2013. 614 p. 575-613| Biblioteca(s): Embrapa Agrobiologia. |
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| Registros recuperados : 15 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
03/06/2023 |
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Data da última atualização: |
15/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARRARA, E. R.; LOPES, P. S.; REIS, A. C. Z.; SILVA, J. X.; DIAS, L. C. de C. M.; SCHULTZ, E. B.; MARQUES, D. B. D.; SILVA, D. A. da; VERONEZE, R.; ANDRADE, R. G.; PEIXOTO, M. G. C. D. |
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Afiliação: |
EULA REGINA CARRARA, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa; ARÍCIA CHAVES ZANETTI REIS, Universidade Federal de Viçosa; JÉSSICA XAVIER SILVA, Universidade Federal de Viçosa; LAYLA CRISTIEN DE CASSIA MIRANDA DIAS, Universidade Federal de Viçosa; ÉRICA BEATRIZ SCHULTZ, Universidade Federal de Viçosa; DANIELE BOTELHO DINIZ MARQUES, Universidade Federal de Viçosa; DELVAN ALVES DA SILVA, Universidade Federal de Viçosa; RENATA VERONEZE, Universidade Federal de Viçosa; RICARDO GUIMARAES ANDRADE, CNPGL; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL. |
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Título: |
NASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
International Journal of Biometeorology, v. 67, n. 7, p. 1273-1277, 2023. |
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Idioma: |
Inglês |
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Conteúdo: |
Heat stress negatively afects livestock, with undesirable efects on animals? production and reproduction. Temperature and humidity index (THI) is a climatic variable used worldwide to study the efect of heat stress on farm animals. Temperature and humidity data can be obtained in Brazil through the National Institute of Meteorology (INMET), but complete data may not be available due to temporary failures on weather stations. An alternative to obtaining meteorological data is the National Aeronautics and Space Administration Prediction of Worldwide Energy Resources (NASA POWER) satellite-based weather system. We aimed to compare THI estimates obtained from INMET weather stations and NASA POWER meteorological information sources using Pearson correlation and linear regression. After quality check, data from 489 INMET weather stations were used. The hourly, average daily and maximum daily THI were evaluated. We found greater correlations and better regression evaluation metrics when average daily THI values were considered, followed by maximum daily THI, and hourly THI. NASA POWER satellite-based weather system is a suitable tool for obtaining the average and maximum THI values using information collected from Brazil, showing high correlations with THI estimates from INMET and good regression evaluation metrics, and can assist studies that aim to analyze the impact of heat stress on livestock production in Brazil, providing additional data to complement the existing information available in the INMET database. MenosHeat stress negatively afects livestock, with undesirable efects on animals? production and reproduction. Temperature and humidity index (THI) is a climatic variable used worldwide to study the efect of heat stress on farm animals. Temperature and humidity data can be obtained in Brazil through the National Institute of Meteorology (INMET), but complete data may not be available due to temporary failures on weather stations. An alternative to obtaining meteorological data is the National Aeronautics and Space Administration Prediction of Worldwide Energy Resources (NASA POWER) satellite-based weather system. We aimed to compare THI estimates obtained from INMET weather stations and NASA POWER meteorological information sources using Pearson correlation and linear regression. After quality check, data from 489 INMET weather stations were used. The hourly, average daily and maximum daily THI were evaluated. We found greater correlations and better regression evaluation metrics when average daily THI values were considered, followed by maximum daily THI, and hourly THI. NASA POWER satellite-based weather system is a suitable tool for obtaining the average and maximum THI values using information collected from Brazil, showing high correlations with THI estimates from INMET and good regression evaluation metrics, and can assist studies that aim to analyze the impact of heat stress on livestock production in Brazil, providing additional data to complement the existing information... Mostrar Tudo |
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Palavras-Chave: |
Classificação de Köppen; Estresse térmico; Köppen classifcation; Linear regression; Pearson correlation; Tropical climate. |
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Thesagro: |
Clima Tropical; Regressão Linear; Satélite. |
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Thesaurus NAL: |
Heat stress. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/253590/1/NASA-POWER-satellite-meteorological-system.pdf
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Marc: |
LEADER 02693naa a2200361 a 4500
001 2154205
005 2023-07-15
008 2023 bl uuuu u00u1 u #d
100 1 $aCARRARA, E. R.
245 $aNASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data.$h[electronic resource]
260 $c2023
520 $aHeat stress negatively afects livestock, with undesirable efects on animals? production and reproduction. Temperature and humidity index (THI) is a climatic variable used worldwide to study the efect of heat stress on farm animals. Temperature and humidity data can be obtained in Brazil through the National Institute of Meteorology (INMET), but complete data may not be available due to temporary failures on weather stations. An alternative to obtaining meteorological data is the National Aeronautics and Space Administration Prediction of Worldwide Energy Resources (NASA POWER) satellite-based weather system. We aimed to compare THI estimates obtained from INMET weather stations and NASA POWER meteorological information sources using Pearson correlation and linear regression. After quality check, data from 489 INMET weather stations were used. The hourly, average daily and maximum daily THI were evaluated. We found greater correlations and better regression evaluation metrics when average daily THI values were considered, followed by maximum daily THI, and hourly THI. NASA POWER satellite-based weather system is a suitable tool for obtaining the average and maximum THI values using information collected from Brazil, showing high correlations with THI estimates from INMET and good regression evaluation metrics, and can assist studies that aim to analyze the impact of heat stress on livestock production in Brazil, providing additional data to complement the existing information available in the INMET database.
650 $aHeat stress
650 $aClima Tropical
650 $aRegressão Linear
650 $aSatélite
653 $aClassificação de Köppen
653 $aEstresse térmico
653 $aKöppen classifcation
653 $aLinear regression
653 $aPearson correlation
653 $aTropical climate
700 1 $aLOPES, P. S.
700 1 $aREIS, A. C. Z.
700 1 $aSILVA, J. X.
700 1 $aDIAS, L. C. de C. M.
700 1 $aSCHULTZ, E. B.
700 1 $aMARQUES, D. B. D.
700 1 $aSILVA, D. A. da
700 1 $aVERONEZE, R.
700 1 $aANDRADE, R. G.
700 1 $aPEIXOTO, M. G. C. D.
773 $tInternational Journal of Biometeorology$gv. 67, n. 7, p. 1273-1277, 2023.
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Embrapa Gado de Leite (CNPGL) |
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