Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10 and BC) using CHIMERE chemistry transport model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Earth System Science Année : 2014

Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10 and BC) using CHIMERE chemistry transport model

Résumé

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.

Dates et versions

hal-01231745 , version 1 (20-11-2015)

Identifiants

Citer

Nishi Srivastava, S K Satheesh, Nadège Blond. Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10 and BC) using CHIMERE chemistry transport model. Journal of Earth System Science, 2014, 123 (6), pp.1249-1264. ⟨10.1007/s12040-014-0466-4⟩. ⟨hal-01231745⟩

Collections

CNRS SITE-ALSACE
65 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More