Moorthy, K. Krishna and Beegum, S. Naseema and Srivastava, N. and Satheesh, S. K. and Chin, Mian and Blond, Nadege and Babu, S. Suresh and Singh, S. (2013) Performance evaluation of chemistry transport models over India. Atmospheric Environment, 71. pp. 210-225. ISSN 1352-2310
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Abstract
Using continuous and near-real time measurements of the mass concentrations of black carbon (BC) aerosols near the surface, for a period of 1 year (from January to December 2006) from a network of eight observatories spread over different environments of India, a space-time synthesis is generated. The strong seasonal variations observed, with a winter high and summer low, are attributed to the combined effects of changes in synoptic air mass types, modulated strongly by the atmospheric boundary layer dynamics. Spatial distribution shows much higher BC concentration over the Indo-Gangetic Plain (IGP) than the peninsular Indian stations. These were examined against the simulations using two chemical transport models, GOCART (Goddard Global Ozone Chemistry Aerosol Radiation and Transport) and CHIMERE for the first time over Indian region. Both the model simulations significantly deviated from the measurements at all the stations; more so during the winter and pre-monsoon seasons and over mega cities. However, the CHIMERE model simulations show better agreement compared with the measurements. Notwithstanding this, both the models captured the temporal variations; at seasonal and subseasonal timescales and the natural variabilities (intra-seasonal oscillations) fairly well, especially at the off-equatorial stations. It is hypothesized that an improvement in the atmospheric boundary layer (ABL) parameterization scheme for tropical environment might lead to better results with GOCART.
Item Type: | Article |
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Additional Information: | Copyright for this article belongs to M/s Elsevier. |
Subjects: | Earth Sciences |
Divisions: | UNSPECIFIED |
Depositing User: | Users 27 not found. |
Date Deposited: | 03 Jul 2020 11:09 |
Last Modified: | 03 Jul 2020 11:09 |
URI: | http://npl.csircentral.net/id/eprint/3098 |
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