Global radiation by simplified models for the state of Mato Grosso, Brazil

Detalhes bibliográficos
Autor(a) principal: Souza, Adilson Pacheco de
Data de Publicação: 2017
Outros Autores: Silva, Andréa Carvalho da, Tanaka, Adriana Aki, Uliana, Eduardo Morgan, Almeida, Frederico Terra de, Klar, Antônio Evaldo, Gomes, Anthony Wellington Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/23563
Resumo: The objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater than 65%.
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spelling Global radiation by simplified models for the state of Mato Grosso, BrazilRadiação global por modelos simplificados para o Estado de Mato Grossoair temperature; Amazon; Cerrado; parameterized coefficients; solar radiationtemperatura do ar; Amazônia; Cerrado; coeficientes parametrizados; radiação solarThe objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater than 65%.O objetivo deste trabalho foi estimar a radiação global por modelos simplificados para o Estado de Mato Grosso. Os coeficientes parametrizados de 15 modelos simplificados foram regionalmente calibrados para estimativa da radiação global diária, com base apenas na temperatura do ar, a partir de dados de 28 estações meteorológicas automáticas (EMAs) da rede do Instituto Nacional de Meteorologia, distribuídas nos diferentes biomas do Estado de Mato Grosso. Os modelos simplificados avaliados foram derivados principalmente dos métodos de Hargreaves e Bristow & Campbell, com diferentes coeficientes parametrizados a serem calibrados. Para a avaliação do desempenho estatístico, foram empregados o coeficiente de determinação (R2), o erro absoluto médio (MBE), a raiz quadrada do erro quadrático médio (RMSE) e o índice d de Willmott. Para a recomendação de modelos por estação e/ou bioma, os modelos foram classificados numericamente (valores de posição), de acordo com o desempenho específico em cada indicativo estatístico. Os modelos simplificados derivados de Bristow & Campbell apresentaram melhores desempenhos estatísticos para estimativa da radiação global diária. Os valores dos coeficientes calibrados de um mesmo modelo variaram grandemente entre as EMAs e os biomas. Os valores do R2 variaram de 0,60 a 0,75, o que indica resultados satisfatórios nas calibrações obtidas. São indicados o modelo de Bristow & Campbell para a Amazônia e o Cerrado e o de Goodin para o Cerrado, com espalhamentos que variam entre 1,52 e 4,33 MJ m-2 por dia e ajustamentos superiores a 65%.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraInstituto Nacional de Meteorologia (Inmet)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process No. 142210/2009-9)Instituto Nacional de Meteorologia (Inmet)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process No. 142210/2009-9)Souza, Adilson Pacheco deSilva, Andréa Carvalho daTanaka, Adriana AkiUliana, Eduardo MorganAlmeida, Frederico Terra deKlar, Antônio EvaldoGomes, Anthony Wellington Almeida2017-05-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/23563Pesquisa Agropecuaria Brasileira; v.52, n.4, abr. 2017; 215-227Pesquisa Agropecuária Brasileira; v.52, n.4, abr. 2017; 215-2271678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/23563/13730https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/23563/15503Direitos autorais 2017 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2017-05-08T12:18:29Zoai:ojs.seer.sct.embrapa.br:article/23563Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2017-05-08T12:18:29Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Global radiation by simplified models for the state of Mato Grosso, Brazil
Radiação global por modelos simplificados para o Estado de Mato Grosso
title Global radiation by simplified models for the state of Mato Grosso, Brazil
spellingShingle Global radiation by simplified models for the state of Mato Grosso, Brazil
Souza, Adilson Pacheco de
air temperature; Amazon; Cerrado; parameterized coefficients; solar radiation
temperatura do ar; Amazônia; Cerrado; coeficientes parametrizados; radiação solar
title_short Global radiation by simplified models for the state of Mato Grosso, Brazil
title_full Global radiation by simplified models for the state of Mato Grosso, Brazil
title_fullStr Global radiation by simplified models for the state of Mato Grosso, Brazil
title_full_unstemmed Global radiation by simplified models for the state of Mato Grosso, Brazil
title_sort Global radiation by simplified models for the state of Mato Grosso, Brazil
author Souza, Adilson Pacheco de
author_facet Souza, Adilson Pacheco de
Silva, Andréa Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antônio Evaldo
Gomes, Anthony Wellington Almeida
author_role author
author2 Silva, Andréa Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antônio Evaldo
Gomes, Anthony Wellington Almeida
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto Nacional de Meteorologia (Inmet)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process No. 142210/2009-9)
Instituto Nacional de Meteorologia (Inmet)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, process No. 142210/2009-9)
dc.contributor.author.fl_str_mv Souza, Adilson Pacheco de
Silva, Andréa Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antônio Evaldo
Gomes, Anthony Wellington Almeida
dc.subject.por.fl_str_mv air temperature; Amazon; Cerrado; parameterized coefficients; solar radiation
temperatura do ar; Amazônia; Cerrado; coeficientes parametrizados; radiação solar
topic air temperature; Amazon; Cerrado; parameterized coefficients; solar radiation
temperatura do ar; Amazônia; Cerrado; coeficientes parametrizados; radiação solar
description The objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater than 65%.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-08
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/23563
url https://seer.sct.embrapa.br/index.php/pab/article/view/23563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/23563/13730
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/23563/15503
dc.rights.driver.fl_str_mv Direitos autorais 2017 Pesquisa Agropecuária Brasileira
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2017 Pesquisa Agropecuária Brasileira
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.52, n.4, abr. 2017; 215-227
Pesquisa Agropecuária Brasileira; v.52, n.4, abr. 2017; 215-227
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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