Abstract

Abstract. Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.

Highlights

  • The physical, chemical and biological processes responsible for life on Earth depend practically on solar energy

  • 2.2.1 Land Surface Temperature (LST): In order to analyze the influence that possible uncertainties in the estimation of LST may have on the estimates of latent heat flux (LET), a noise was applied to the LST images, with a Gaussian variation of -2 K and + 2 K

  • In order to analyze the influence that the uncertainties in the estimation of LST may have on the estimates of latent heat flux (LET), a Gaussian noise was applied to the LST images

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Summary

Introduction

The physical, chemical and biological processes responsible for life on Earth depend practically on solar energy. Monitoring energy and soil-vegetation-atmosphere mass transfers is a key step in the management of water and agricultural resources. It is useful for a better understanding and prediction of climate evolution (Olioso et al, 1999). The energy balance is obtained by determining the magnitude of radioactive and non-radiative fluxes. The radiation balance of the radiative fluxes represents the energy absorbed by the system. Its magnitude is shared by the energy used in the evaporation of water latent heat flux (LE), or evapotranspiration on vegetated surfaces, sensible heat flux (H) and soil heat flux (G)

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