| description abstract | nalysis of multiple global satellite products identifies distinctive weather states of the atmosphere from the mesoscale pattern of cloud properties and quantifies the associated diabatic heating/cooling by radiative flux divergence, precipitation, and surface sensible heat flux. The results show that the forcing for the atmospheric general circulation is a very dynamic process, varying strongly at weather space?time scales, comprising relatively infrequent, strong heating events by ?stormy? weather and more nearly continuous, weak cooling by ?fair? weather. Such behavior undercuts the value of analyses of time-averaged energy exchanges in observations or numerical models. It is proposed that an analysis of the joint time-related variations of the global weather states and the general circulation on weather space?time scales might be used to establish useful ?feedback like? relationships between cloud processes and the large-scale circulation. | |
