Research On Aerosol Type Recognition Model Based On Multi-source Remote Sensing Data

Due to the lack of sufficient understanding of the characteristics of different types of aerosols and their temporal and spatial changes,aerosols has become the most important uncertainties in global climate change research.Therefore,the study of the characteristics of different types of aerosols and the law of spatiotemporal variation have become global hot issues in the field of climate change.In this background,the K-MOA aerosol classification model is proposed and validated based on multi-source remote sensing satellite aerosol products.The temporal and spatial variation of different aerosol types and the influence on the cloud are studied.The main contents of the paper have been divided into the following four aspects:(1)We combined the aerosol classification in typical regions via threshold method from Kaufman(2005)with the MODIS-OMI(MOA)aerosol classification model proposed by Kim(2007),building a classification model(K-MOA)which based on aerosol multi-source satellite remote sensing product.The model divides the aerosols into sulfate,carbon,dust and sea salt aerosols in typical regions over the global ocean.For the atmospheric aerosol data used,aerosol optical thickness(AOD)and aerosol fine particle model fraction(FMF)come from the MODerate-resolution Imaging Spectroradiometer(MODIS),and the UV aerosol absorption index(AI)retrieved by the Ozone Monitoring Instrument(OMI).(2)The classification results of this model are validated by the aerosol type reanalysis data provided by the European Mesoscale Forecast Center.The aerosol classification results in the four typical regions over the global ocean(the South Pacific,the tropical South Atlantic,the tropical North Atlantic and the East Pacific of the East Asia)are compared with the aerosol types classified by the reanalysis data,which proved reliability of the K-MOA model.(3)Based on the aerosol characteristics of multi-source remote sensing data set over the global marine area from 2006 to 2015,we used the K-MOA model to study thespatiotemporal variation of different types of aerosols over the global marine areas.We found that aerosol types over the global ocean area are the most complex from June to August.Among them,North American marine areas are mainly carbon aerosols under the impact of North American summer forest fires.In the marine area between 30 ° N and 60 ° N,sulfate aerosols account for the major part.And the tropical North Atlantic region is affected by the desert of the Sahara sand,forming a dust aerosol strip.In September-November,the carbon-aerosol space coverage in the tropical Southern Atlantic region reached the peak in the year due to the impact of biomass burning in South Africa.In December-May,different types of aerosols over the global oceanic area were relatively simple.(4)Based on the spatial and temporal distribution data sets of different aerosol types over the global ocean,we have quantitatively analyzed the influence of different aerosol types on the microphysical and optical properties of the cloud.It was found that the Tommy effect of sea salt aerosol on cloud droplet effective radius(CER)is the most obvious when AOD is less than 0.3,and the Tommy effect of all types of aerosols is weakened when AOD is greater than 0.3.In studying the effect of aerosol on cloud optical thickness(COD),we found that the corresponding COD of sea salt aerosol is the smallest,but the slope between COD and AOD is the largest.