Dati di copertura nuvolosa SEVIRI-MSG per i modelli di dispersione atmosferica degli inquinanti

The fraction of cloud cover is very important for the atmospheric turbulence parameterization schemes adopted by many models of atmospheric dispersion of pollutants. This information is required when there are no direct measurements of net flow of radiation at the surface. In these cases, the net radiation is estimated from measures of cloud cover and incident solar radiation flux, or it is calculated directly using semi empirical and astronomical relationships which, in turn, require cloud cover. This work evaluated the usability of the cloud cover Cloud Analysis Images (CLAI) extracted from the images obtained by the sensor SEVIRI - MSG as input data to software for simulation of the dispersion of pollutants in the atmosphere Air Industry. The primary assessment of this experiment is the comparison between the values of net radiation measured at the ground with those calculated using the cloud cover extracted from CLAI. As a further experiment, is shown an application of the dispersion model, set to use the cloud cover CLAI; the concentration maps obtained were compared with those obtained using similar measures of solar radiation. This study highlights that data from MSG-SEVIRI cloud cover can effectively compensate for the lack of measures of solar radiation on the ground, although by that parameter's importance in modeling the dispersion of pollutants has not yet been well investigated and is still under study.