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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
03/11/2023 |
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Data da última atualização: |
25/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MATSUNAGA, W. K.; SALES, E. S. G.; ASSIS JÚNIOR, G. C.; SILVA, M. T.; LACERDA, F. F.; LIMA, E. de P.; SANTOS, C. A. C. dos; BRITO, J. I. B. de. |
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Afiliação: |
WENDY KAORI MATSUNAGA, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; ELITON SANCLER GOMES SALES, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; GERVÁSIO COSTA ASSIS JÚNIOR, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; MADSON TAVARES SILVA, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; FRANCINETE FRANCIS LACERDA, INSTITUTO AGRONÔMICO DE PERNAMBUCO; EVALDO DE PAIVA LIMA, CNPS; CARLOS ANTONIO COSTA DOS SANTOS, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; JOSÉ IVALDO BARBOSA DE BRITO, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE. |
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Título: |
Application of ERA5-Land reanalysis data in zoning of climate risk for corn in the state of Bahia-Brazil. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Theoretical and Applied Climatology, v. 155, p. 945-963, 2024. |
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DOI: |
https://doi.org/10.1007/s00704-023-04670-3 |
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Idioma: |
Inglês |
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Conteúdo: |
The agricultural zoning of climate risk (AZCR) is a fundamental tool for agricultural activities, as it identifies regions and times of lower climatic risk for planting and sowing crops. An AZCR representative of large areas requires a network of meteorological stations with dense spatial distribution, routine, and accurate observations. In Brazil, there is a good spatial distribution of rain gauges, but there is a scarcity in the spatial distribution of meteorological stations necessary to conduct an AZCR. One way to overcome the lack of data observed in situ is to use reanalysis data. However, it is necessary to show that it is possible to perform a reliable AZCR using it. Therefore, the objective of this research is to elaborate an AZCR for corn in the state of Bahia using reanalysis data and quantifying its viability. The ERA5-Land reanalysis database was chosen. When performing the validation of the ERA5-Land reanalysis data, it was verified that rainfall was the only meteorological variable needed for an AZCR that did not present seasonal and interannual values and variability similar to those already observed. Therefore, it was decided to validate the rainfall data from the CPC/NOAA Precipitation Project. With data from the ERA5-Land and CPC/NOAA Precipitation Project reanalysis validated, the AZCR for corn was performed in the state of Bahia, leading to the conclusion that it is possible to develop a reliable and robust AZCR with reanalysis data. |
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Palavras-Chave: |
ZARC. |
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Thesagro: |
Milho; Risco Climático; Zoneamento Agrícola. |
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Thesaurus Nal: |
Agricultural zoning; Corn. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02361naa a2200289 a 4500
001 2157712
005 2024-01-25
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00704-023-04670-3$2DOI
100 1 $aMATSUNAGA, W. K.
245 $aApplication of ERA5-Land reanalysis data in zoning of climate risk for corn in the state of Bahia-Brazil.$h[electronic resource]
260 $c2024
520 $aThe agricultural zoning of climate risk (AZCR) is a fundamental tool for agricultural activities, as it identifies regions and times of lower climatic risk for planting and sowing crops. An AZCR representative of large areas requires a network of meteorological stations with dense spatial distribution, routine, and accurate observations. In Brazil, there is a good spatial distribution of rain gauges, but there is a scarcity in the spatial distribution of meteorological stations necessary to conduct an AZCR. One way to overcome the lack of data observed in situ is to use reanalysis data. However, it is necessary to show that it is possible to perform a reliable AZCR using it. Therefore, the objective of this research is to elaborate an AZCR for corn in the state of Bahia using reanalysis data and quantifying its viability. The ERA5-Land reanalysis database was chosen. When performing the validation of the ERA5-Land reanalysis data, it was verified that rainfall was the only meteorological variable needed for an AZCR that did not present seasonal and interannual values and variability similar to those already observed. Therefore, it was decided to validate the rainfall data from the CPC/NOAA Precipitation Project. With data from the ERA5-Land and CPC/NOAA Precipitation Project reanalysis validated, the AZCR for corn was performed in the state of Bahia, leading to the conclusion that it is possible to develop a reliable and robust AZCR with reanalysis data.
650 $aAgricultural zoning
650 $aCorn
650 $aMilho
650 $aRisco Climático
650 $aZoneamento Agrícola
653 $aZARC
700 1 $aSALES, E. S. G.
700 1 $aASSIS JÚNIOR, G. C.
700 1 $aSILVA, M. T.
700 1 $aLACERDA, F. F.
700 1 $aLIMA, E. de P.
700 1 $aSANTOS, C. A. C. dos
700 1 $aBRITO, J. I. B. de
773 $tTheoretical and Applied Climatology$gv. 155, p. 945-963, 2024.
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| Registros recuperados : 2 | |
| 1. |  | BERTIOLI, S. C. de M. L.; GODOY, I. J.; SANTOS, J. F.; DOYLE, J. J.; GUIMARAES, P. M.; ABERNATHY, B. L.; JACKSON, S. A.; MORETZSOHN, M. de C.; BERTIOLI, D. J. Segmental allopolyploidy in action: Increasing diversity through polyploid hybridization and homoeologous recombination. American Journal of Botany, v. 105, n. 6, p. 1053-1066, 2018. Na publicação: Soraya C. M. Leal-Bertioli; Márcio C. Moretzsohn.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 2. | | AZANI, N.; BABINEAU, M.; BAILEY, C. D.; BANKS, H.; BARBOSA, A. R.; PINTO, R. B.; BOATWRIGHT, J. S.; BORGES, L. M.; BROWN, G. K.; BRUNEAU, A.; CANDIDO, E.; CARDOSO, D.; CHUNG, K.-F.; CLARK, R. P.; CONCEIÇÃO, A. de S.; CRISP, M.; CUBAS, P.; DELGADO-SALINAS, A.; DEXTER, K. G.; DOYLE, J. J.; DUMINIL, J.; EGAN, A. N.; ESTRELLA, M. de la; FALCÃO, M. J.; FILATOV, D. A.; FORTUNA-PEREZ, A. P.; FORTUNATO, R. H.; GAGNON, E.; GASSON, P.; RANDO, J. G.; TOZZI, A. M. G. de A.; GUNN, B.; HARRIS, D.; HASTON, E.; HAWKINS, J. A.; HERENDEEN, P. S.; HUGHES, C. E.; IGANCI, J. R. V.; JAVADI, F.; KANU, S. A.; KAZEMPOUR-OSALOO, S.; KITE, G. C.; KLITGAARD, B. B.; KOCHANOVSKI, F. J.; KOENEN, E. J. M.; KOVAR, L.; LAVIN, M.; ROUX, M. LE; LEWIS, G. P.; LIMA, H. C. DE; LÓPEZ-ROBERTS, M. C.; MACKINDER, B.; MAIA, V. H.; MALÉCOT, V.; MANSANO, V. F.; MARAZZI, B.; MATTAPHA, S.; MILLER, J. T.; MITSUYUKI, C.; MOURA, T.; MURPHY, D. J.; NAGESWARA-RAO, M.; NEVADO, B.; NEVES, D.; OJEDA, D. I.; PENNINGTON, R. T.; PRADO, D. E.; PRENNER, G.; QUEIROZ, L. P. de; RAMOS, G.; FILARDI, F. L. R.; RIBEIRO, P. G.; RICO-ARCE, M. DE L.; SANDERSON, M. J.; SANTOS-SILVA, J.; SÃO-MATEUS, W. M. B.; SILVA, M. J. S.; SIMON, M. F.; SINOU, C.; SNAK, C.; SOUZA, É. R. DE; SPRENT, J.; STEELE, K. P.; STEIER, J. E.; STEEVES, R.; STIRTON, C. H.; TAGANE, S.; TORKE, B. M.; TOYAMA, H.; CRUZ, D. T. da; VATANPARAST, M.; WIERINGA, J. J.; WINK, M.; WOJCIECHOWSKI, M. F.; YAHARA, T.; YI, T.; ZIMMERMAN, E. A new subfamily classification of the Leguminosae based on a taxonomically comprehensive phylogeny. Taxon, v. 66, n. 1, p. 44-77, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 2 | |
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