An improved parameterization of the mean monthly precipitation in the Northern Hemisphere

A mean monthly precipitation parameterization is given. It is developed by a multiple linear regression equation in terms of the temperature and the h orizontal wind. Using a period of eleven years, from January 1982 to December 1992, for the anomalies of the mean monthly precipitation, temperature, zonal and meridi onal wind, and vorticity of the wind as variable data, we have obtained a s kill above 80% in the estimation of the mean monthly precipitation anomalie s in the Northern Hemisphere. The parameterization may be used to predict monthly precipitation anomalies with the Adem's Thermodynamic Model, or with any others energy balance or general circulation models, as well as to compute monthly precipitation ano malies from observed anomalies of temperature and horizontal wind data.