Improving accuracy in land surface heat and water fluxes estimation by multiparameterizations and multi-source satellite observations

Processes that control water vapor exchanges with terrestrial objects include evaporation from bare soil or water, transpiration from plants, and sublimation from snow and ice. Under different conditions the dominant process is different as well as the specific state variables for each process. Among various algorithms for estimating evapotranspiration using satellite observations, none of them describes correctly all targets under all environmental conditions. In this context, multi-parameterization might be a solution to deal with multiple processes involved in water vapour exchange with the land surface. In this paper, we carried out an experimental study to evaluate a few parameterization algorithms for land surface evapotranspiration using remote sensing data under different conditions. Such evaluation is helpful for further development of a multi-parameterization algorithm applicable to broader conditions.