The GISS global general circulation model has been used to simulate July conditions, in a manner analogous to the previously described January simulation. Sea surface temperatures, ice cover, snow line and soil moisture were assigned values based on climatological data for July, and the integration was started from real data for 18 June 1973. Because of the realistic initial condition, the model rapidly approached a quasi-steady state. Mean statistics were computed for the simulated calendar month of July, and compared with climatological data, mainly for the Northern Hemisphere troposphere. Qualitatively, the model-generated energy cycle, distributions of winds, temperature, humidity and pressure, dynamical transports, diabatic heating, evaporation, precipitation and cloud cover are all realistic. Quantitatively, the July simulation, like the January simulation, tends to underestimate the strength of the mean meridional circulations, the eddy activity and some of the associated transports. The J... Abstract The GISS global general circulation model has been used to simulate July conditions, in a manner analogous to the previously described January simulation. Sea surface temperatures, ice cover, snow line and soil moisture were assigned values based on climatological data for July, and the integration was started from real data for 18 June 1973. Because of the realistic initial condition, the model rapidly approached a quasi-steady state. Mean statistics were computed for the simulated calendar month of July, and compared with climatological data, mainly for the Northern Hemisphere troposphere. Qualitatively, the model-generated energy cycle, distributions of winds, temperature, humidity and pressure, dynamical transports, diabatic heating, evaporation, precipitation and cloud cover are all realistic. Quantitatively, the July simulation, like the January simulation, tends to underestimate the strength of the mean meridional circulations, the eddy activity and some of the associated transports. The J...