| Volumes and Issues Contents of Issue 1 |
www.atmos-meas-tech-discuss.net/5/979/2012/
doi:10.5194/amtd-5-979-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
Improved retrieval of SO2 from Ozone Monitoring Instrument: residual analysis and data noise correction
1State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing, China
2Graduate University of the Chinese Academy of Sciences, Beijing, China
Abstract. In this study, based on Ozone Monitoring Instrument (OMI) observation data and considering the shortage of current Band Residual Difference algorithm (BRD) algorithm in data noise correction since late 2008, we make a detailed analysis of OMI SO2 main noise sources and determine the best residual adjustment area by analyzing the different residual correction effects. After such modification, the OMI SO2 PBL results noise which use BRD retrieval algorithm is largely reduced, the precision of the SO2 results is improved, and the optimization of the BRD algorithm for data noise is realized. We select China as our study area and compare the results between the optimized results and the OMI SO2 PBL products. Results show that they are consistent with each other in January 2008; however, our modified algorithm results have higher precision and more reliable SO2 spatial distribution in January 2009. Finally, other current retrieval error sources are discussed, and further research is needed on these areas.
Discussion Paper (PDF, 16764 KB) Interactive Discussion (Final Response, 2 Comments) Manuscript under review for AMT
Citation: Yan, H., Chen, L., Tao, J., Su, L., and Han, D.: Improved retrieval of SO2 from Ozone Monitoring Instrument: residual analysis and data noise correction, Atmos. Meas. Tech. Discuss., 5, 979-1001, doi:10.5194/amtd-5-979-2012, 2012. Bibtex EndNote Reference Manager XML
