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, Andrea Carvalho da, Tanaka, Adriana Aki, Uliana, Eduardo Morgan, Almeida, Frederico Terra de, Klar, Antonio Evaldo [UNESP], Almeida Gomes, Anthony Wellington
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S0100-204X2017000400001
http://hdl.handle.net/11449/162805
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 (R-2), 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 R-2 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, Brazilair temperatureAmazonCerradoparameterized coefficientssolar radiationThe 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 (R-2), 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 R-2 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%.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Fed Mato Grosso, Inst Ciencias Agr & Ambientais, Setor Ind, Campus Sinop,Ave Alexandre Ferronato 1-200, BR-78557267 Sinop, MT, BrazilUniv Estadual Paulista, Fac Ciencias Agron Botucatu, Dept Engn Rural, Fazenda Lageado, Rua Jose Barbosa de Barros 1-780, BR-18610307 Botucatu, SP, BrazilUniv Fed Rural Pernambuco, Unidade Acad Garanhuns, Ave Bom Pastor S-N, BR-55292270 Garanhuns, PE, BrazilUniv Estadual Paulista, Fac Ciencias Agron Botucatu, Dept Engn Rural, Fazenda Lageado, Rua Jose Barbosa de Barros 1-780, BR-18610307 Botucatu, SP, BrazilCNPq: 142210/2009-9Empresa Brasil Pesq AgropecUniversidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Univ Fed Rural PernambucoSouza, Adilson Pacheco deSilva, Andrea Carvalho daTanaka, Adriana AkiUliana, Eduardo MorganAlmeida, Frederico Terra deKlar, Antonio Evaldo [UNESP]Almeida Gomes, Anthony Wellington2018-11-26T17:31:27Z2018-11-26T17:31:27Z2017-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article215-227application/pdfhttp://dx.doi.org/10.1590/S0100-204X2017000400001Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 4, p. 215-227, 2017.0100-204Xhttp://hdl.handle.net/11449/16280510.1590/S0100-204X2017000400001S0100-204X2017000400215WOS:000401540800001S0100-204X2017000400215.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPesquisa Agropecuaria Brasileirainfo:eu-repo/semantics/openAccess2024-04-30T14:01:53Zoai:repositorio.unesp.br:11449/162805Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T14:01:53Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Global radiation by simplified models for the state of Mato Grosso, Brazil
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
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, Andrea Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antonio Evaldo [UNESP]
Almeida Gomes, Anthony Wellington
author_role author
author2 Silva, Andrea Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antonio Evaldo [UNESP]
Almeida Gomes, Anthony Wellington
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade Estadual Paulista (Unesp)
Univ Fed Rural Pernambuco
dc.contributor.author.fl_str_mv Souza, Adilson Pacheco de
Silva, Andrea Carvalho da
Tanaka, Adriana Aki
Uliana, Eduardo Morgan
Almeida, Frederico Terra de
Klar, Antonio Evaldo [UNESP]
Almeida Gomes, Anthony Wellington
dc.subject.por.fl_str_mv air temperature
Amazon
Cerrado
parameterized coefficients
solar radiation
topic air temperature
Amazon
Cerrado
parameterized coefficients
solar radiation
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 (R-2), 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 R-2 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 2017-04-01
2018-11-26T17:31:27Z
2018-11-26T17:31:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/S0100-204X2017000400001
Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 4, p. 215-227, 2017.
0100-204X
http://hdl.handle.net/11449/162805
10.1590/S0100-204X2017000400001
S0100-204X2017000400215
WOS:000401540800001
S0100-204X2017000400215.pdf
url http://dx.doi.org/10.1590/S0100-204X2017000400001
http://hdl.handle.net/11449/162805
identifier_str_mv Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 4, p. 215-227, 2017.
0100-204X
10.1590/S0100-204X2017000400001
S0100-204X2017000400215
WOS:000401540800001
S0100-204X2017000400215.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pesquisa Agropecuaria Brasileira
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 215-227
application/pdf
dc.publisher.none.fl_str_mv Empresa Brasil Pesq Agropec
publisher.none.fl_str_mv Empresa Brasil Pesq Agropec
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965272420909056