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Sensitivity of meteorological input and soil properties in simulating aerosols (dust,PM10, and BC) using CHIMERE chemistry transport model
Authors:Nishi Srivastava  S K Satheesh  Nadège Blond
Institution:1. Centre of Excellence in Climatology, Birla Institute of Technology, Mesra, Ranchi, 835 215, India
2. Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, 560 012, India
3. Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, 560 012, India
4. Laboratoire Image Ville Environnement, UMR 7362CNRS/UDS, 3, rue de l’Argonne, 67000, Strasbourg, France
Abstract:The objective of this study is to evaluate the ability of a European chemistry transport model, ‘CHIMERE’ driven by the US meteorological model MM5, in simulating aerosol concentrations dust, PM10 and black carbon (BC)] over the Indian region. An evaluation of a meteorological event (dust storm); impact of change in soil related parameters and meteorological input grid resolution on these aerosol concentrations has been performed. Dust storm simulation over Indo-Gangetic basin indicates ability of the model to capture dust storm events. Measured (AERONET data) and simulated parameters such as aerosol optical depth (AOD) and Angstrom exponent are used to evaluate the performance of the model to capture the dust storm event. A sensitivity study is performed to investigate the impact of change in soil characteristics (thickness of the soil layer in contact with air, volumetric water, and air content of the soil) and meteorological input grid resolution on the aerosol (dust, PM10, BC) distribution. Results show that soil parameters and meteorological input grid resolution have an important impact on spatial distribution of aerosol (dust, PM10, BC) concentrations.
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