Global radiation by simplified models for the state of Mato Grosso, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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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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 |