Sentinel-5P TROPOMI data application and their comparison with OIAP spectroscopic datasets on CO and NO2 columns
- Obukhov Institute of Atmospheric Physics, RAS, Moscow, Russian Federation (vadim@ifaran.ru)
This study considers usage of high-resolution data on CO and NO2 of newest orbital spectrometer TROPOMI.
First, using our own software package Level 2 data (15 NetCdf files for every day) were converted to Level 3 (one daily mat-file) while maintaining spatial resolution. Then CO total content (CO TC) and NO2 tropospheric (NO2 TrC) and total content (NO2 TC) OFFL diurnal data were compared with OIAP ground-based measurements in Moscow and at Zvenigorod Scientific station (ZSS, Moscow province, 53 km West from Moscow) as well as with AIRS CO TC observations.
The character of dependence between ground-based and satellite data was chosen as linear:
Ugr = KUstl + A, were Ugr and Ustl are ground-based and satellite contents of an impurity, respectively; A is the constant.
High correlation between TROPOMI CO OFFL and ground-based CO TC measurements was obtained, with R~ 0.79-0.85, K~0.78-0.91, A~2.3-5.0*1017 molec/cm2 in dependence on orbital data resolution.
Correlation parameters depend on viewing azimuth angle VZA (the best correlation was obtained for VZA≤50º) and do not significantly depende on the Earth albedo.
For diurnal NO2 TrC OFFL for ZSS were obtained R~ 0.41-0.48, K~3.3-4.3, A~0.9-1.1*1015 molec/cm2and for NO2 TC OFFL R~0.59-0.61, K~6.7-7.0, A~ (-)0.76-0.86 *1015 molec/cm2.
Additional possibilities to calculate averaged spatial and trend distributions of different atmospheric species based on TROPOMI data using our original software are presented.
The study was supported by Russian Science Foundation under grant №21-17-00210. NO2 data comparison was supported by the Russian Foundation for Basic Research, grant №20-05-00274.
How to cite: Rakitin, V., Gruzdev, A., Skorokhod, A., Kirillova, N., Fedorova, E., and Kazakov, A.: Sentinel-5P TROPOMI data application and their comparison with OIAP spectroscopic datasets on CO and NO2 columns, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8820, https://doi.org/10.5194/egusphere-egu22-8820, 2022.
This abstract will not be presented.