Abstract
Meteorology plays a key role in regional aerosol concentration and distribution. Microphysics and cloud formation processes in the atmosphere is interlinked with aerosol and their removal processes. To characterize their role in modulating the aerosols/pollutants concentration simulation by a chemical transport model (CTM, here we have taken CHIMERE model); we have performed this study with different microphysical (MP) schemes (Kessler Scheme/Lin Scheme/WRF single Moment 3-class (WSM3) scheme) and cumulus cloud parameterization (CU) schemes (Kain-Fritsch Scheme/Betts-Miller-Janjic Scheme/Grell 3D) of Weather Research and Forecasting Model (WRF). We have used the WRF model over a domain (3°S-41.8°N; 59.5°-102.5°E) with the resolution of (0.25° × 0.25°) while CHIMERE model simulations are performed over the domain (6°-37.5°N; 67°-95.5°E) with the similar resolution for a selected period of monsoon. In total nine combinations are framed with MP and CU schemes to observe the sensitivity of CTM to these schemes. Simulated results are compared with the satellite (TRMM/MODIS) and reanalysis data (MERRA-2) to appraise the model's performance with various parameterization scheme combinations. Results indicate that despite the same initial and boundary conditions and model configuration, notable differences occurred in the simulated meteorological parameters with different scheme combinations. Results suggested that CTM performed in a reliable range with cumulus scheme Betts-Miller-Janjic Scheme (BMJ) and Grell 3D scheme with microphysical parameterization scheme Purdue Lin Scheme over Indian continent. The study also suggests that a single set may not produce good results for all the parameters/pollutants; thus, we have to choose the parameterization schemes which give optimal results for all the parameters/pollutants. These results also infer that ensemble modeling could also lead to a better option than using single simulations.
Published Version
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