ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-10-12273-2010 Wintertime pollution over the Eastern Indo-Gangetic Plains as observed from MOPITT, CALIPSO and tropospheric ozone residual data Kar J. 1 Deeter M. N. 2 Fishman J. 3 Liu Z. 3 4 Omar A. 3 Creilson J. K. 1 3 5 Trepte C. R. 3 Vaughan M. A. 3 Winker D. M. 3 Science Systems and Applications Inc., Hampton, VA, 23666, USA National Center for Atmospheric Research, Boulder, CO, USA NASA Langley Research Center, Hampton, VA, 23681, USA National Institute of Aerospace, Hampton, VA, 23666, USA currently at: American Meteorological Society, Boston, MA 02108, USA 23 12 2010 10 24 12273 12283 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/10/12273/2010/acp-10-12273-2010.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/10/12273/2010/acp-10-12273-2010.pdf

A large wintertime increase in pollutants has been observed over the eastern parts of the Indo Gangetic Plains. We use improved version 4 carbon monoxide (CO) retrievals from the Measurements of Pollution in the Troposphere (MOPITT) along with latest version 3 aerosol data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar instrument and the tropospheric ozone residual products to characterize this pollution pool. The feature is seen primarily in the lower troposphere from about November to February with strong concomitant increases in CO and aerosol optical depth (AOD). The signature of the feature is also observed in tropospheric ozone column data. The height resolved aerosol data from CALIPSO confirm the trapping of the pollution pool at the lowest altitudes. The observations indicate that MOPITT can capture this low altitude phenomenon even in winter conditions as indicated by the averaging kernels.

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