Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate

ABSTRACT This study evaluated the adequacy of the One-Source Energy Balance (OSEB) and Surface Energy Balance Algorithm for Land (SEBAL) models to estimate evapotranspiration in grain growing areas with humid subtropical climate in Rio Grande do Sul, southern Brazil. The dataset was obtained from a...

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Main Authors: Juliano Schirmbeck, Denise Cybis Fontana, Débora Regina Roberti
Format: Article
Language:English
Published: Instituto Agronômico de Campinas 2018-11-01
Series:Bragantia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018005013101&lng=en&tlng=en
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spelling doaj-1f64ef7e755047e4821af59cea5a86762020-11-24T22:36:32ZengInstituto Agronômico de CampinasBragantia1678-44992018-11-01010.1590/1678-4499.2017208S0006-87052018005013101Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climateJuliano SchirmbeckDenise Cybis FontanaDébora Regina RobertiABSTRACT This study evaluated the adequacy of the One-Source Energy Balance (OSEB) and Surface Energy Balance Algorithm for Land (SEBAL) models to estimate evapotranspiration in grain growing areas with humid subtropical climate in Rio Grande do Sul, southern Brazil. The dataset was obtained from a micrometeorological station (Eddy Covariance) and MODIS (Moderate Resolution Imaging Spectroradiometer) products during 84 observation days between 2009 and 2011. The OSEB and SEBAL models were used to estimate the partition of net radiation (Rn) into the components latent heat flux (LE), sensible heat flux (H), and ground heat flux (G) estimated from the MODIS images while the experimental data measured in situ were used to compare the results. Analyses indicated that the Energy Balance (EB) components were estimated from the MODIS images satisfactorily despite the spatial resolution limitations. Furthermore, the SEBAL model estimated the EB components satisfactorily only for summer crops. There are uncertainties associated with determining the hot and cold pixels due to the region humid subtropical climate and the spatial resolution of the sensor used in the other periods. The OSEB model has the lowest errors and the most adequate partitioning of the EB components throughout the year, and therefore, it is the most suitable for the climatic conditions of Rio Grande do Sul.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018005013101&lng=en&tlng=enlatent heat fluxEddy covarianceMODIS images
collection DOAJ
language English
format Article
sources DOAJ
author Juliano Schirmbeck
Denise Cybis Fontana
Débora Regina Roberti
spellingShingle Juliano Schirmbeck
Denise Cybis Fontana
Débora Regina Roberti
Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
Bragantia
latent heat flux
Eddy covariance
MODIS images
author_facet Juliano Schirmbeck
Denise Cybis Fontana
Débora Regina Roberti
author_sort Juliano Schirmbeck
title Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
title_short Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
title_full Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
title_fullStr Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
title_full_unstemmed Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate
title_sort evaluation of oseb and sebal models for energy balance of a crop area in a humid subtropical climate
publisher Instituto Agronômico de Campinas
series Bragantia
issn 1678-4499
publishDate 2018-11-01
description ABSTRACT This study evaluated the adequacy of the One-Source Energy Balance (OSEB) and Surface Energy Balance Algorithm for Land (SEBAL) models to estimate evapotranspiration in grain growing areas with humid subtropical climate in Rio Grande do Sul, southern Brazil. The dataset was obtained from a micrometeorological station (Eddy Covariance) and MODIS (Moderate Resolution Imaging Spectroradiometer) products during 84 observation days between 2009 and 2011. The OSEB and SEBAL models were used to estimate the partition of net radiation (Rn) into the components latent heat flux (LE), sensible heat flux (H), and ground heat flux (G) estimated from the MODIS images while the experimental data measured in situ were used to compare the results. Analyses indicated that the Energy Balance (EB) components were estimated from the MODIS images satisfactorily despite the spatial resolution limitations. Furthermore, the SEBAL model estimated the EB components satisfactorily only for summer crops. There are uncertainties associated with determining the hot and cold pixels due to the region humid subtropical climate and the spatial resolution of the sensor used in the other periods. The OSEB model has the lowest errors and the most adequate partitioning of the EB components throughout the year, and therefore, it is the most suitable for the climatic conditions of Rio Grande do Sul.
topic latent heat flux
Eddy covariance
MODIS images
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018005013101&lng=en&tlng=en
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AT denisecybisfontana evaluationofosebandsebalmodelsforenergybalanceofacropareainahumidsubtropicalclimate
AT deborareginaroberti evaluationofosebandsebalmodelsforenergybalanceofacropareainahumidsubtropicalclimate
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