2013
DOI: 10.1002/wrcr.20071
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Mapping evaporation and estimation of surface control of evaporation using remotely sensed land surface temperature from a constellation of satellites

Abstract: [1] A variational data assimilation model is developed to estimate surface energy fluxes from remotely sensed land surface temperature (LST). Components of the surface energy balance (sensible, latent, and ground heat fluxes) have different degrees of efficiency in dissipating available energy. LST is the state variable of the surface energy balance (SEB). Land surface models that capture the exchange and storage of energy in the soil and vegetation media use LST as a prognostic variable. Sequences of LST meas… Show more

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Cited by 45 publications
(61 citation statements)
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“…This advancement enables several global evapotranspiration products to be used. Extensive reviews of earth observation based (Anderson et al, 2012;Bateni et al, 2013;Li et al, 2013;Savoca et al, 2013;Senay et al, 2013;Nouri et al, 2015;Wang-Erlandsson et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…This advancement enables several global evapotranspiration products to be used. Extensive reviews of earth observation based (Anderson et al, 2012;Bateni et al, 2013;Li et al, 2013;Savoca et al, 2013;Senay et al, 2013;Nouri et al, 2015;Wang-Erlandsson et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…LST plays a key role in modeling the surface energy balance [1,2] and has a significant impact on analyzing the heat-related issues such as soil moisture [3,4], evapotranspiration [5][6][7], and urban heat islands [8,9]. Compared with traditional methods using data from weather stations, remote sensing satellite images provide a more effective and efficient method to estimate LST and offer a synoptic view of the study area.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, much work has been done in surface turbulent fluxes and partitioning among energy balance components [5][6][7]. As one fundamental parameter of surface heat fluxes, the evaporative fraction (EF, defined as the ratio of latent heat flux to available energy) represents the surface control on latent heat and sensible heat fluxes portioning [8,9]. Considering the spatial and temporal variability of the EF characteristic, satellite remote sensing is recognized as a promising technique to provide reasonable EF estimates over large areas and continents [10].…”
Section: Introductionmentioning
confidence: 99%