Testing ncep operational surface layer parameterizations for stable conditions using CASES-99 data

The National Center for Environmental Prediction (NCEP) operational surface layer parameterization for stable conditions using CASES-99 data, was studied. Results for four nights during CASES-99 study shows NCEP enhanced parameterizations, with limits on L employed in the ETA model L equalling to surface layer depth h, and stability functions for momentum and heat, when applied to GFS, results in improved biases for the nights. A standard deviation in the nights demonstrates a scatter among the individual measurement inputs and an average uncertainty on arriving observed surface and two-meter temperature, used for comparison. The enhanced parameterization can be used only for two meter temperature, while maintaining Monin-Obukhov theory for fluxes.