Atmosphere aerosol modeling by GEOS-Chem for the “Aerosol-UA” space project validation

1Miatselskaya, NS, 1Kabashnikov, VP, 1Norka, HV, 1Chaikovsky, AP, Bril, AI, 2Milinevsky, GP, 3Danylevsky, VO
1B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus, Minsk, Belarus
2Main Astronomical Observatory of the National Academy of Sciences of Ukraine, Kyiv, Taras Shevchenko National University of Kyiv, Kyiv
3Taras Shevchenko National University of Kyiv, Kyiv
Space Science and Technology 2017, 23 ;(3):03-10
Section: Space and Atmospheric Physics
Publication Language: English
We used a global chemical transport model GEOS-Chem to compute monthly mean fine, coarse, and total aerosol volume concentration for Minsk and Kyiv in the period from 2010 to 2015. We compared results of the model simulation with sun-photometer observations at the ground-based AERONET network sites. We obtained that the aerosol volume concentrations retrieved from observations are in reasonably good agreement with model-simulated ones. However, the agreement is not good enough for the validation of the results of simulation with the satellite measurements in the future space mission Aerosol-UA.
                 To improve the accuracy of estimating the spatial-temporal distribution of the aerosol volume concentration we decided to apply the optimal interpolation method for assimilating AERONET data in GEOS-Chem model. The temporal correlation function for fine aerosol volume concentration is obtained on the basis of measurements at AERONET Minsk site over the 2002−2015 period and Kyiv site over the 2008−2015 period. We describe the analyzed values of fine aerosol volume concentration at all temporal grid points over the period of 2002 to 2015 for Minsk site and of 2008 to 2015 for Kyiv site, which were determined on the basis of the optimal interpolation method. We propose to use the optimal averaging method for AERONET data on the basis of the temporal optimization interpolation method.
Keywords: aerosol, chemical transport GEOS-Chem, data assimilation, sun photometer
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