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Atmospheric and Oceanic Optics

2015 year, number 9

Results of comparison of satellite and ground-based spectroscopic CO, CH4, and CO2 columns measurements

V.S. Rakitin, Yu.A. Shtabkin, N.F. Elansky, N.V. Pankratova, A.I. Skorokhod, E.I. Grechko, A.N. Safronov
A.M. Obukhov Institute of Atmospheric Physics Russian Academy of Sciences, Pyzhevsky per., 3, 119017, Moscow, Russia
Keywords: окись углерода, метан, углекислый газ, атмосферная спектроскопия, дистанционное зондирование, спутниковые методы, фоновые и загрязненные районы, пограничный слой атмосферы, carbon monoxide, methane, carbon dioxide, atmospheric spectroscopy, remote sensing, satellite sensing, background and polluted regions, atmospheric boundary layer


A significant amount of satellite and ground data of the CO, CO2, CH4 total content in the atmosphere in 2010−2013 was collected, organized and analyzed. Transition relations between satellite and ground-based data on the content of impurities investigated in different measuring points (stations NDACC/GAW, as well as the OIAP RAS stations) with different spatial and temporal resolutions has been obtained. High correlation of diurnal satellite CO contents, products of AIRS v6 (R2 = 0.48-0.96), IASI MetOp-A (R2 = 0.25-0.86) and MOPITT v6 Joint (R2 = 0.30−0.83), averaging 1° x 1°, with the ground data of solar spectrometers was established for background conditions. In the case of high pollution of the mixing layer, a significant underestimation of CO total content (from 1.7 to 4.7 times, depending on the sensor, and the spatial point of observation) was seen. Representative transition relations and correlation coefficients (R2 ≥ 0.5) between the average daily data on CH4 and ground data diffraction spectrometers IAP RAS and Fourier spectrometers of GAW stations were obtained only for sensor AIRS. The best correlation with ground data on CO2 (R2 = 0.25 for diurnal values, averaging 1° x 1°) was obtained for the sensor IASI. Diurnal CH4 total contents of sensor IASI MetOp-A poorly correlated with ground-based data as well as AIRS data.