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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
01/12/2015 |
Data da última atualização: |
26/09/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
STEIDLE NETO, A. J.; BORGES JÚNIOR, J. C. F.; ANDRADE, C. L. T.; LOPES, D. C.; NASCIMENTO, P. T. |
Afiliação: |
CAMILO DE LELIS TEIXEIRA DE ANDRADE, CNPMS. |
Título: |
Reference evapotranspiration estimates based on minimum meteorological variable requirements of historical weather data. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Chilean Journal of Agricultural Research, Santiago, v. 75, n. 3, p. 366-374, 2015. |
DOI: |
10.4067/S0718-58392015000400014 |
Idioma: |
Inglês |
Conteúdo: |
Reference evapotranspiration (ET0) is critical for agricultural and urban planning, irrigation scheduling, regional water balance studies, and agroclimatological zoning. The objective of this study was to estimate ET0 based on methods with minimum meteorological variable requirements and on empirical models to predict solar radiation. These alternative methods were compared to the FAO Penman-Monteith method by using more than 80 yr of historical weather data. Alternative methods were adapted from the standard FAO Penman-Monteith or Priestley-Taylor methods, which allow estimating ET0 when fewer meteorological variables are available. The Hargreaves-Samani method was also analyzed. The mean absolute error, index of agreement, correlation coefficient, and confidence index were used to compare the alternative methods. Results showed that alternative methods based on the maximum and minimum temperatures, sunshine hours, and/or wind speed are appropriate for estimating ET0 in the region under study. |
Palavras-Chave: |
Modelagem. |
Thesagro: |
Evapotranspiração. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01717naa a2200205 a 4500 001 2030165 005 2017-09-26 008 2015 bl uuuu u00u1 u #d 024 7 $a10.4067/S0718-58392015000400014$2DOI 100 1 $aSTEIDLE NETO, A. J. 245 $aReference evapotranspiration estimates based on minimum meteorological variable requirements of historical weather data.$h[electronic resource] 260 $c2015 520 $aReference evapotranspiration (ET0) is critical for agricultural and urban planning, irrigation scheduling, regional water balance studies, and agroclimatological zoning. The objective of this study was to estimate ET0 based on methods with minimum meteorological variable requirements and on empirical models to predict solar radiation. These alternative methods were compared to the FAO Penman-Monteith method by using more than 80 yr of historical weather data. Alternative methods were adapted from the standard FAO Penman-Monteith or Priestley-Taylor methods, which allow estimating ET0 when fewer meteorological variables are available. The Hargreaves-Samani method was also analyzed. The mean absolute error, index of agreement, correlation coefficient, and confidence index were used to compare the alternative methods. Results showed that alternative methods based on the maximum and minimum temperatures, sunshine hours, and/or wind speed are appropriate for estimating ET0 in the region under study. 650 $aEvapotranspiração 653 $aModelagem 700 1 $aBORGES JÚNIOR, J. C. F. 700 1 $aANDRADE, C. L. T. 700 1 $aLOPES, D. C. 700 1 $aNASCIMENTO, P. T. 773 $tChilean Journal of Agricultural Research, Santiago$gv. 75, n. 3, p. 366-374, 2015.
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