Analysis of the evaporative fraction using eddy covariance and remote sensing techniques

Detalhes bibliográficos
Autor(a) principal: Santos,Carlos Antonio Costa dos
Data de Publicação: 2010
Outros Autores: Silva,Bernardo Barbosa da, Rao,Tantravahi Venkata Ramana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400002
Resumo: The main objective of this study was to demonstrate the ability of the instantaneous measurements of the evaporative fraction (EF) to estimate the average daily EF and apply the remote sensing algorithm (SEBAL - Surface Energy Balance Algorithms for Land) to obtain the regional distribution of the instantaneous EF in the Semi-arid region of Brazil. The results show that cloudiness is not related to stability of EF and that the correlation between the diurnal stability of EF and the meteorological parameters have shown weak correlation on cloudy days, and strong correlation with the vapor pressure deficit (VPD) on cloud free days. The EF derived from remote sensing data were compared with the field measurements and presented absolute percent difference less than 12%, evidencing the agreement between the SEBAL algorithm results and measured data, and showing that it is a promising tool to provide estimates of the EF to obtain the evapotranspiration.
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spelling Analysis of the evaporative fraction using eddy covariance and remote sensing techniquesEvapotranspirationbanana cropsemi-aridSEBALThe main objective of this study was to demonstrate the ability of the instantaneous measurements of the evaporative fraction (EF) to estimate the average daily EF and apply the remote sensing algorithm (SEBAL - Surface Energy Balance Algorithms for Land) to obtain the regional distribution of the instantaneous EF in the Semi-arid region of Brazil. The results show that cloudiness is not related to stability of EF and that the correlation between the diurnal stability of EF and the meteorological parameters have shown weak correlation on cloudy days, and strong correlation with the vapor pressure deficit (VPD) on cloud free days. The EF derived from remote sensing data were compared with the field measurements and presented absolute percent difference less than 12%, evidencing the agreement between the SEBAL algorithm results and measured data, and showing that it is a promising tool to provide estimates of the EF to obtain the evapotranspiration.Sociedade Brasileira de Meteorologia2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400002Revista Brasileira de Meteorologia v.25 n.4 2010reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/S0102-77862010000400002info:eu-repo/semantics/openAccessSantos,Carlos Antonio Costa dosSilva,Bernardo Barbosa daRao,Tantravahi Venkata Ramanaeng2011-03-15T00:00:00Zoai:scielo:S0102-77862010000400002Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2011-03-15T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
title Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
spellingShingle Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
Santos,Carlos Antonio Costa dos
Evapotranspiration
banana crop
semi-arid
SEBAL
title_short Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
title_full Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
title_fullStr Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
title_full_unstemmed Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
title_sort Analysis of the evaporative fraction using eddy covariance and remote sensing techniques
author Santos,Carlos Antonio Costa dos
author_facet Santos,Carlos Antonio Costa dos
Silva,Bernardo Barbosa da
Rao,Tantravahi Venkata Ramana
author_role author
author2 Silva,Bernardo Barbosa da
Rao,Tantravahi Venkata Ramana
author2_role author
author
dc.contributor.author.fl_str_mv Santos,Carlos Antonio Costa dos
Silva,Bernardo Barbosa da
Rao,Tantravahi Venkata Ramana
dc.subject.por.fl_str_mv Evapotranspiration
banana crop
semi-arid
SEBAL
topic Evapotranspiration
banana crop
semi-arid
SEBAL
description The main objective of this study was to demonstrate the ability of the instantaneous measurements of the evaporative fraction (EF) to estimate the average daily EF and apply the remote sensing algorithm (SEBAL - Surface Energy Balance Algorithms for Land) to obtain the regional distribution of the instantaneous EF in the Semi-arid region of Brazil. The results show that cloudiness is not related to stability of EF and that the correlation between the diurnal stability of EF and the meteorological parameters have shown weak correlation on cloudy days, and strong correlation with the vapor pressure deficit (VPD) on cloud free days. The EF derived from remote sensing data were compared with the field measurements and presented absolute percent difference less than 12%, evidencing the agreement between the SEBAL algorithm results and measured data, and showing that it is a promising tool to provide estimates of the EF to obtain the evapotranspiration.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0102-77862010000400002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.25 n.4 2010
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
instacron_str SBMET
institution SBMET
reponame_str Revista Brasileira de Meteorologia (Online)
collection Revista Brasileira de Meteorologia (Online)
repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
repository.mail.fl_str_mv ||rbmet@rbmet.org.br
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