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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 6, pp. 33-47

Estimation of drift in the quality of orbital observations and application of correction methods to long-term series using the example of AIRS measurements of methane total content

V.S. Rakitin 1 , E.I. Fedorova 1 , N.S. Kirillova 1 , N.V. Pankratova 1 , N.F. Elansky 1 
1 A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia
Accepted: 07.10.2024
DOI: 10.21046/2070-7401-2024-21-6-33-47
The work is dedicated to the validation of the satellite product AIRS v6 (Atmospheric InfraRed Sounder, version 6, data type IR AIRS Only) on methane total content (TC) by observations from 12 ground-based spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC) for the period 2003–2022. The aim of the work was to develop a universal method of orbital data correction, to improve the consistency of orbital measurements with ground-based data, and to increase the accuracy of estimates of trends in atmospheric composition and parameters. It was found that for methane TC the differential linear trend between satellite and ground-based measurements is negative at all stations. The observed effect indicates the presence of a drift in the parameters of the satellite spectrometer. For methane TC, the average coefficient of linear trend difference (1,72·1014 molec/cm2 per day) was calculated on the basis of the data sets of all statistically sufficiently supported stations and synchronized measurement series AIRS v6. A satellite data dynamic correction was then performed using the obtained average coefficient. The average daily methane TC correlation parameters and methane TC trend estimates based on observations from the AIRS orbital instrument and NDACC ground-based spectrometers were compared before and after correction. A significant improvement in the fit of both parameters was obtained using the developed methodology. The correlation coefficient for each site increased substantially. Before correction, trend estimates based on the initial synchronised series were systematically underestimated by the satellite (on average by ~1.5 times compared to estimates based on ground-based data). After applying the dynamic correction, the satellite trend values became significantly closer to the ground-based estimates at most measurement sites. After correction, the averaged methane TC trend for 2003–2022 for 12 sites according to satellite measurements was 0,45±0,03 %·yr–1, which is in good agreement with estimates based on ground-based observations (0,43±0,02 %·yr–1). The developed methodology is applicable to any long-term satellite observations.
Keywords: atmospheric composition, atmospheric remote sensing, validation, total content, methane, ground measurements, drift
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