ALBERT

Description: An analysis of intraseasonal probability distribution functions (PDFs) of temperature is performed using the results of various numerical experiments based on the global three-dimensional climate model developed at the Institute of Atmospheric Physics, Russian Academy of Sciences. It is noted that the main contribution to the intraseasonal variability of-surface air temperature in different regions, in particular, in Eurasia, is made by meridional (longitudinal) periodic structures in the field of temperature that arise due to the spatial resonance between synoptic waves and a wave associated with inhomogeneous properties of the underlying surface (land and ocean alternation along latitudinal belts). A comparison between empirical and model PDFs in different seasons shows that the model PDFS are, on the whole, insufficiently good agreement with the empirical PDFs (except in the winter season). An analysis of the tendencies of change in both the properties of temperature disturbances generated in the model and the intraseasonal PDFs for different regions with a doubled content of atmospheric carbon dioxide-shows that significant changes in the PDFS are characteristic for transition seasons. Specifically, the tendency of enhanced-PDF maxima corresponding to rather large-temperature deviations is noticed.