Hydrology and earth system sciences · 2002 · 2K citations · 46 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceHeat TransferRemote SensingAtmospheric Surface LayerLand Surface ModelingSatellite SensorsSurface Energy BalanceThermal Remote SensingTurbulent FluxesEarth Observation SensorsEnergy Balance ModelsLand Surface Energy FluxesSurface Energy Balance EstimationSurface Heat BudgetSurface Roughness LengthTurbulent Heat FluxesTurbulent Heat Transport
A Surface Energy Balance System (SEBS) is proposed to estimate atmospheric turbulent fluxes and evaporative fraction using satellite observations and meteorological data at appropriate scales. SEBS comprises tools to derive land surface parameters from spectral data, a model for roughness length, and a new evaporative fraction formulation based on energy balance, and its reliability was evaluated with four experimental datasets. Case studies show SEBS can estimate turbulent heat fluxes and evaporative fraction at various scales with acceptable accuracy, with uncertainties comparable to in‑situ measurements. Abstract and keywords: surface energy balance, turbulent heat flux, evaporation, remote sensing.
Abstract. A Surface Energy Balance System (SEBS) is proposed for the estimation of atmospheric turbulent fluxes and evaporative fraction using satellite earth observation data, in combination with meteorological information at proper scales. SEBS consists of: a set of tools for the determination of the land surface physical parameters, such as albedo, emissivity, temperature, vegetation coverage etc., from spectral reflectance and radiance measurements; a model for the determination of the roughness length for heat transfer; and a new formulation for the determination of the evaporative fraction on the basis of energy balance at limiting cases. Four experimental data sets are used to assess the reliabilities of SEBS. Based on these case studies, SEBS has proven to be capable to estimate turbulent heat fluxes and evaporative fraction at various scales with acceptable accuracy. The uncertainties in the estimated heat fluxes are comparable to in-situ measurement uncertainties. Keywords: Surface energy balance, turbulent heat flux, evaporation, remote sensing
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Numerical recipes in C: the art of scientific computing
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