A comparison of experimental energy balance components data and SEBAL model results in Dourados, Brazil

Paiva, Célia Maria; França, Gutemberg Borges; Liu, William Tse Horng; Filho, Otto Corrêa Rotunno

doi:10.1080/01431161003623425

Cited by 15 publications

(10 citation statements)

References 35 publications

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“…SEBAL has been applied and validated in different regions (Bhattarai et al, 2012;Paiva, Franca, Liu, & Rotunno Filho, 2011;Tang et al, 2013;Yang et al, 2015). …”

Section: Estimation Of Surface Energy and Water Fluxesmentioning

confidence: 99%

Effects of land‐cover changes on the partitioning of surface energy and water fluxes in Amazonia using high‐resolution satellite imagery

et al. 2019

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Spatial variability of surface energy and water fluxes at local scales is strongly controlled by soil and micrometeorological conditions. Thus, the accurate estimation of these fluxes from space at high spatial resolution has the potential to improve prediction of the impact of land-use changes on the local environment. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) data were used to examine the partitioning of surface energy and water fluxes over different landcover types in one wet year (2004) and one drought year (2005) in eastern Rondonia state, Brazil. The spatial variation of albedo, net radiation (Rn), soil (G) and sensible (H) heat fluxes, evapotranspiration (ET), and evaporative fraction (EF) were primarily related to the lower presence of forest (primary [PF] or secondary [SF]) in the western side of the Ji-Parana River in comparison with the eastern side, located within the Jaru Biological Reserve protected area. Water limitation in this part of Amazonia tends to affect anthropic (pasture [PA] and agriculture [AG]) ecosystems more than the natural land covers (PF and SF). We found statistically significant differences on the surface fluxes prior to and~1 year after the deforestation. Rn over forested areas is~10% greater in comparison with PA and AG. Deforestation and consequent transition to PA or AG increased the total energy (~200-400%) used to heat the soil subsurface and raise air temperatures. These differences in energy partitioning contributed to approximately three times higher ET over forested areas in comparison with nonforested areas. The conversion of PF to AG is likely to have a higher impact in the local climate in this part of Amazonia when compared with the change to PA and SF, respectively. These results illustrate the importance of conserving secondary forest areas in Amazonia.

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“…SEBAL has been applied and validated in different regions (Bhattarai et al, 2012;Paiva, Franca, Liu, & Rotunno Filho, 2011;Tang et al, 2013;Yang et al, 2015). …”

Section: Estimation Of Surface Energy and Water Fluxesmentioning

confidence: 99%

Effects of land‐cover changes on the partitioning of surface energy and water fluxes in Amazonia using high‐resolution satellite imagery

et al. 2019

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“…A parametrização do algoritmo é aplicada em imagens digitais de qualquer sensor orbital que efetue medidas de radiância no visível, infravermelho próximo e termal, tais como o Landsat 5 -TM (Santos, 2011;Bezerra et al, 2012b); NOAA-AVHRR (Zwart & Bastiaanssen, 2007;Paiva et al, 2011); Terra/MODIS (Andrade et al, 2012;Ruhoff et al, 2012) e Terra/ ASTER (Santos et al, 2010).…”

Section: Introductionunclassified

Evapotranspiração real em bacia hidrográfica do Nordeste brasileiro por meio do SEBAL e produtos MODIS

Oliveira¹,

Montenegro²,

Silva³

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OObjetivou-se, com este trabalho, avaliar a evapotranspiração real diária -ETr por sensoriamento remoto e comparar os resultados com a ETr obtida segundo o balanço de energia com a técnica da razão de Bowen, na Bacia Hidrográfica do Rio Tapacurá, Pernambuco, Brasil. . It was concluded that, despite the intense presence of clouds in the region, it was possible to obtain the real daily evapotranspiration in Tapacurá River basin based on MODIS images with good precision. Palavras IntroduçãoA gestão eficaz dos recursos hídricos é de grande relevância social e ambiental e a sua inobservância pode comprometer a sustentabilidade do uso dos recursos naturais de uma bacia hidrográfica. De fato, para a efetivação de medidas eficazes de gestão dos recursos hídricos faz-se necessário o monitoramento dos principais componentes do ciclo hidrológico, dentre os quais se destaca a evapotranspiração, considerada como o indicador de perda da água da superfície terrestre pela interface solo, planta e atmosfera.Ao longo dos anos vários métodos diretos e indiretos foram desenvolvidos para estimar a evapotranspiração (i.e. Thornthwaite, Penman-Monteith, Balanço de Energia baseado na Razão de Bowen, Correlação de Vórtices Turbulentos, dentre outros); no entanto, todos esses métodos falham quando o interesse é a obtenção da evapotranspiração em grandes áreas com acentuada heterogeneidade. Neste sentido, os métodos de obtenção da evapotranspiração real diária (ETr) baseados em técnicas de sensoriamento remoto se apresentam com uma opção de baixo custo e com boa precisão não obstante suas limitações quanto à exigência da ausência de nuvens por ocasião

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“…Net surface radiation refers to the net surface energy produced in the process of short wave radiation and long wave radiation, which controls the sensible heat and latent heat flux emitted into the atmosphere, and it is a significant component of surface energy budget [1][2][3][4][5]. Therefore, it is the driving force for the transport and exchange of ground energy and material and plays a key role in the earth-atmosphere system.…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Variation in Energy Balance in the Semiarid Grassland Area of China

Jiang

Zhan

et al. 2015

Advances in Meteorology

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Near surface energy budget changes have been proved to be induced by the land cover conversion through changing the surface physical properties, which can further impact the regional climate change. This study applies the DLS model to simulate the land cover under the business as usual (BAU) scenario and then analyses the seasonal and interannual variation of energy balance in the semiarid grassland area of China based on the simulated land cover with the Weather Research and Forecasting (WRF) model. The results indicate that the grassland will show a growing trend under the BAU scenario. Downward long wave radiation and downward short wave radiation will all have small-scale increase with time going by, while the surface net radiation will decrease from 2030 to 2050. However, there is obvious seasonal variation. Summer has the highest downward long wave radiation and downward short wave radiation, followed by spring and autumn. The lowest are in winter. As for the net surface radiation, there is obvious decrease in southeast of study area due to returning cropland to grassland. Those research conclusions can offer valuable information for the land use planning and relieving the effects of land cover change on climate change at the semiarid grassland area.

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A comparison of experimental energy balance components data and SEBAL model results in Dourados, Brazil

Cited by 15 publications

References 35 publications

Effects of land‐cover changes on the partitioning of surface energy and water fluxes in Amazonia using high‐resolution satellite imagery

Effects of land‐cover changes on the partitioning of surface energy and water fluxes in Amazonia using high‐resolution satellite imagery

Evapotranspiração real em bacia hidrográfica do Nordeste brasileiro por meio do SEBAL e produtos MODIS

Seasonal and Interannual Variation in Energy Balance in the Semiarid Grassland Area of China

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