Accounting for Turbulence-Induced Canopy Heat Transfer in the Simulation of Sensible Heat Flux in SEBS Model

Surface turbulent heat fluxes are crucial for monitoring drought, waves, urban islands, agricultural water management, and other hydrological applications. Energy Balance Models (EBMs) widely used to simulate surface from a combination of remote sensing-derived variables meteorological data. Single-source EBMs, in particular, preferred mapping due their relative simplicity. However, most single-source EBMs suffer uncertainties inherent the parameter kB−1, which is account differences source sink momentum when representing aerodynamic resistance EBMs. For instance, parameterization kB−1 commonly System (SEBS) model uses constant value foliage transfer coefficient (Ct), vegetation component (kBv−1). Thus, SEBS ignores effect turbulence on canopy transfer. As result, has been found greatly underestimate sensible flux tall forest canopies, where key contributor This study presents revised kBv−1 model. A physically based formulation Ct, considers deriving parameterization. Simulation results across 15 eddy covariance (EC) tower sites show that significantly reduces underestimation compared original under canopies. The relatively simple does not require additional information structure some more complex parameterizations proposed literature. such, suitable fluxes, especially