Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1415-43662011000900012 http://hdl.handle.net/11449/219739 |
Resumo: | The air temperature is a climatic element of interest for several agricultural related studies. Hence, daily air temperature from two locations in Brazil (Botucatu and Petrolina, with different climate classification), hourly recorded from January 2004 to December 2005, were analysed to verify if 24 h long air temperature variation can be predicted with 6 h interval records. Three data set were selected, with different first time record of air temperature, and analyses performed using geoestatistics to confirm the temporal dependency of records. Then, ordinary krigging was used to model air temperature variation within 1 h interval, and spherical model presented the best approach, with range of 11.6 h for Botucatu and 12.7 for Petrolina. For both locations, the time of air temperature recording was the most importnat factor on accuracy of estimation of air temperature variation. Records at 2, 8, 14 and 20 h and at 4, 10, 16 and 22 h presented the best approaches, but for records at 9, 15 and 21 h, the approach was worst. |
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Modeling the hourly variation of air temperature at Petrolina and Botucatu, BrazilModelagem da variação horária da temperature do ar em Petrolina, PE, e Botucatu, SPClimatic elementGeoestatisticsTemporal dependencyThe air temperature is a climatic element of interest for several agricultural related studies. Hence, daily air temperature from two locations in Brazil (Botucatu and Petrolina, with different climate classification), hourly recorded from January 2004 to December 2005, were analysed to verify if 24 h long air temperature variation can be predicted with 6 h interval records. Three data set were selected, with different first time record of air temperature, and analyses performed using geoestatistics to confirm the temporal dependency of records. Then, ordinary krigging was used to model air temperature variation within 1 h interval, and spherical model presented the best approach, with range of 11.6 h for Botucatu and 12.7 for Petrolina. For both locations, the time of air temperature recording was the most importnat factor on accuracy of estimation of air temperature variation. Records at 2, 8, 14 and 20 h and at 4, 10, 16 and 22 h presented the best approaches, but for records at 9, 15 and 21 h, the approach was worst.FCA-UNESP, CP 237, CEP 18610-307, Botucatu, SPEmbrapa - Semiárido, CP 23, CEP 56302-970, Petrolina, PEFCA-UNESP, CP 237, CEP 18610-307, Botucatu, SPUniversidade Estadual Paulista (UNESP)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Ramos, Clóvis M.C. [UNESP]da Silva, Alessandra F. [UNESP]Sartori, Anderson A. da C. [UNESP]Zimback, Célia R.L. [UNESP]Bassoi, Luís H.2022-04-28T18:57:16Z2022-04-28T18:57:16Z2011-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article959-965http://dx.doi.org/10.1590/S1415-43662011000900012Revista Brasileira de Engenharia Agricola e Ambiental, v. 15, n. 9, p. 959-965, 2011.1807-19291415-4366http://hdl.handle.net/11449/21973910.1590/S1415-436620110009000122-s2.0-80054960938Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporRevista Brasileira de Engenharia Agricola e Ambientalinfo:eu-repo/semantics/openAccess2022-04-28T18:57:16Zoai:repositorio.unesp.br:11449/219739Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:49:22.219808Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil Modelagem da variação horária da temperature do ar em Petrolina, PE, e Botucatu, SP |
title |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
spellingShingle |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil Ramos, Clóvis M.C. [UNESP] Climatic element Geoestatistics Temporal dependency |
title_short |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
title_full |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
title_fullStr |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
title_full_unstemmed |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
title_sort |
Modeling the hourly variation of air temperature at Petrolina and Botucatu, Brazil |
author |
Ramos, Clóvis M.C. [UNESP] |
author_facet |
Ramos, Clóvis M.C. [UNESP] da Silva, Alessandra F. [UNESP] Sartori, Anderson A. da C. [UNESP] Zimback, Célia R.L. [UNESP] Bassoi, Luís H. |
author_role |
author |
author2 |
da Silva, Alessandra F. [UNESP] Sartori, Anderson A. da C. [UNESP] Zimback, Célia R.L. [UNESP] Bassoi, Luís H. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Ramos, Clóvis M.C. [UNESP] da Silva, Alessandra F. [UNESP] Sartori, Anderson A. da C. [UNESP] Zimback, Célia R.L. [UNESP] Bassoi, Luís H. |
dc.subject.por.fl_str_mv |
Climatic element Geoestatistics Temporal dependency |
topic |
Climatic element Geoestatistics Temporal dependency |
description |
The air temperature is a climatic element of interest for several agricultural related studies. Hence, daily air temperature from two locations in Brazil (Botucatu and Petrolina, with different climate classification), hourly recorded from January 2004 to December 2005, were analysed to verify if 24 h long air temperature variation can be predicted with 6 h interval records. Three data set were selected, with different first time record of air temperature, and analyses performed using geoestatistics to confirm the temporal dependency of records. Then, ordinary krigging was used to model air temperature variation within 1 h interval, and spherical model presented the best approach, with range of 11.6 h for Botucatu and 12.7 for Petrolina. For both locations, the time of air temperature recording was the most importnat factor on accuracy of estimation of air temperature variation. Records at 2, 8, 14 and 20 h and at 4, 10, 16 and 22 h presented the best approaches, but for records at 9, 15 and 21 h, the approach was worst. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 2022-04-28T18:57:16Z 2022-04-28T18:57:16Z |
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/S1415-43662011000900012 Revista Brasileira de Engenharia Agricola e Ambiental, v. 15, n. 9, p. 959-965, 2011. 1807-1929 1415-4366 http://hdl.handle.net/11449/219739 10.1590/S1415-43662011000900012 2-s2.0-80054960938 |
url |
http://dx.doi.org/10.1590/S1415-43662011000900012 http://hdl.handle.net/11449/219739 |
identifier_str_mv |
Revista Brasileira de Engenharia Agricola e Ambiental, v. 15, n. 9, p. 959-965, 2011. 1807-1929 1415-4366 10.1590/S1415-43662011000900012 2-s2.0-80054960938 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
Revista Brasileira de Engenharia Agricola e Ambiental |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
959-965 |
dc.source.none.fl_str_mv |
Scopus 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_ |
1808128984542609408 |