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Global distribution of tropospheric ozone and its precursors: a view from space

IR@NPL: CSIR-National Physical Laboratory, New Delhi

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Title Global distribution of tropospheric ozone and its precursors: a view from space
 
Creator Ghude, Sachin D.
Kulkarni, Pavan S.
Beig, G.
Jain, S. L.
Arya, B. C.
 
Subject Imaging Science & Photographic Technology
Remote Sensing
 
Description Satellite-borne tropospheric ozone measurements obtained from the tropospheric ozone residual (TOR) method, CO from the MOPITT (at 850 hPa level) measurements and NO2 from the SCIAMACHY measurements for the three-year period 2003–2005 have been utilized to examine the distribution of the pollutant sources and long-range transport on a global scale. Elevated tropospheric ozone columns have been observed over regions of high NO2 and CO concentrations in the northern and southern hemispheres. High levels of the tropospheric ozone column have been observed below about 5°S in the vicinity of the biomass burning regions and extend from continents out over the Atlantic during October. The seasonal distribution of tropospheric O3 and its precursors in the southern hemisphere shows the strong correlation with the seasonal variation of biomass burning in Africa and South America. Northern hemisphere summer shows the widespread ozone and CO pollution throughout the middle latitudes. The inter-hemispheric gradient of ozone and CO found to be decreased during October. Large-scale transport of the ozone and CO over the Atlantic and Pacific Oceans has been clearly identified. Strong inter-continental transport has been observed to occur from west to east along with the mid-latitude winds in the northern hemisphere.
 
Publisher Taylor & Francis
 
Date 2010-01-20
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://npl.csircentral.net/172/1/142.pdf
Ghude, Sachin D. and Kulkarni, Pavan S. and Beig, G. and Jain, S. L. and Arya, B. C. (2010) Global distribution of tropospheric ozone and its precursors: a view from space. International Journal of Remote Sensing , 31 (2). pp. 485-495. ISSN 0143-1161
 
Relation http://dx.doi.org/10.1080/01431160902893519
http://npl.csircentral.net/172/