Atmospheric dust detection using WRF-Chem model and remote sensing data (Case study: West and southwest of Iran)

Aerosols play an important role in balancing Earth and atmosphere energy. In the last two decades, aerosols have been recognized as one of the key factors in the global climate change assessment. The purpose of this study, Determine the nature of atmospheric aerosols and simulation of the concentration of these particles in order to detect the sources of their emissions to the west and southwest regions of Iran. In order to, two types of information, including horizontal visibility of data from meteorological stations and the optical depth (AOD) MODIS were used Two dust events July 5, 2009 and July 1, 2008.In order to determine the nature of atmospheric aerosols, in the software of the 〖ENVI〗^(@ ) 5.3 , the atmospheric aerosol particle size was calculated using the Deep Blue Aerosol Angstrom Exponent Land algorithm and mapped to the Arc GIS and Then they were analyzed. In order to detect the particle emission sources and Simulation of their concentration was performed using the WRF-Chem coupled numerical model, using the advanced MADE-SORGAM scheme. The results of the remote sensing method showed that the aerosol particles in the western and southwestern regions of Iran have a dusty nature. According to the output of the WRF-Chem numerical model in the both of the dust events, the northwestern regions of Iraq and its center were identified as the main sources of dust emissions.