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Abstract
Tropospheric ozone (TO) has been derived from the Aura/Ozone Monitoring Instrument (OMI) and the Aura/Microwave Limb Sounder (MLS) over the Indian sub-continent region using a tropospheric ozone residual (TOR) technique. The TO was initially retrieved at a horizontal spatial resolution following that of the Aura/MLS (300 km), which has a lower horizontal spatial resolution than that of the Aura/OMI (25 km). To overcome the limitations imposed by data at a lower spatial resolution, we have introduced a 2D rectangular interpolation (RI) algorithm for effective resampling of data to higher horizontal spatial resolutions. The performance of this algorithm has been evaluated by comparison against existing standard techniques such as nearest neighbourhood (NN) and kriging interpolation as well as comparison against in situ ozonesonde observations. Gridded TO estimates were subsequently generated for the region of interest at 25, 50, and 100 km horizontal spatial resolutions for further study.
Acknowledgements
The authors would like to thank Director NRSC, Dr. V.K Dadhwal and Dr P.V.N Rao Group Director ACSG for their kind support to carry out this study. We also greatly acknowledge SHADOZ for making Ozonesonde data network access free. The authors also acknowledge the COSMIC Data Analysis and Archive Centre (CDAAC) for the COSMIC 1-DVAR wet profiles of temperature. We also acknowledge the editor and anonymous referees for their comments/suggestions, which have certainly improved the quality of manuscript. The authors sincerely acknowledge Mr S.V. S Sai Krishna, ACSG, for editing the manuscript.