A GLOBAL MULTILEVEL ATMOSPHERIC MODEL USING A VECTOR SEMI-LAGRANGIAN FINITE-DIFFERENCE SCHEME .2. VERSION WITH PHYSICS

Full physical parameterizations have been incorporated into the global model using a two-time-level, semi-Lagrangian, semi-implicit finite-d ifference integration scheme that was described in Part I of this work . Virtual temperature effects have also been incorporated into the adi abatic part of the model. The diurnal and seasonal cycles have been in cluded, with prescribed seasonally varying climatological surface boun dary conditions. The model has been integrated in both forecast and cl imate mode, at a resolution of 2 degrees x 2.5 degrees in latitude/lon gitude, 20 levels in the vertical, and a time step of 45 min for the d ynamics: Medium-range forecasts using January and July initial conditi ons give highly encouraging anomaly correlation skill scores. Two para llel 17-month climate simulations, one without and one with mass resto ration, show that the model successfully simulates many features of th e observed climate. Mass restoration is shown to have no significant i mpact on the seasonally averaged climate statistics.