Impact of stallite ddrived clould data on model proedictions of surface heat flux and temperature; a lake eire example

摘要

Accurate information on clound cover and surface heat flux is critical to be success of surface ater model predictions. To predict temperature, a numerical model requires surrface heat flux values which are clauclated based on cloud cover, wind speed and other meteorological variables. Existing s urface heat flux formulations overestimate the values due to the underestimation of clound cover and predicted surface water temperatures are correspondingly higher than that observed from measured data. lack of adequate spatial and temporal resolution of clould data and improper representation of clud cover in the interpolation scheme are the two major sources hypothesized to cause the heat flux over-preiction.