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Derivation of the carbon dioxide total column in the atmosphere from satellite-based infrared fourier-transform spectrometer IKFS–2 measurements: analysis and application experience
- Authors: Rublev A.N.1, Golomolzin V.V.1, Uspensky А.B.1, Kiseleva Y.V.1, Kozlov D.A.2, Belan B.D.3, Arshinov M.Y.3, Timofeev Y.M.4, Panov А.V.5, Prokushkin A.S.5
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Affiliations:
- State Research Centre “Planeta”
- Federal State Unitary Enterprise Keldysh Research Center
- V.E. Zuev Institute of Atmospheric Optics
- Saint Petersburg State University
- Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences
- Issue: No 4 (2024)
- Pages: 56-68
- Section: ФИЗИЧЕСКИЕ ОСНОВЫ ИССЛЕДОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА
- URL: https://journal-vniispk.ru/0205-9614/article/view/272403
- DOI: https://doi.org/10.31857/S0205961424040051
- EDN: https://elibrary.ru/EMDUPJ
- ID: 272403
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Abstract
The paper discusses the use of a new version of the regression technique for derivation the total content of carbon dioxide in the atmosphere XCO2 (column-averaged dry-air mole fraction) from measurements of the infrared Fourier-transform spectrometer IKFS–2 installed on board Russian meteorological satellite Meteor-M No. 2. To evaluate the accuracy of satellite-based XCO2 estimates the retrospective comparison was made with data from ground-based spectroscopic measurements at Peterhof site of St. Petersburg State University as well as with aircraft measurements of the V. E. Zuev Institute of Atmospheric Optics (IOA) in the area of the Novosibirsk Reservoir conducted in 2019-2022. A brief description of the regression technique modifications is given made to improve the accuracy of satellite – based XCO2 estimates. In particular, to compensate for the effect of changes in the IKFS-2 characteristics during a long flight, the XCO2 estimates calibration is realized using ground - based XCO2 measurements at the NOAA Observatory on Mauna Loa volcano (island of Hawaii). After calibration and cloud scenes filtering, the discrepancy between satellite estimates and ground-based / aircraft measurements is characterized by root mean square deviation of ~4 ppm or 1% of the CO2 total content. In order to accelerate the adjustment of the regression technique, used for estimating XCO2, to IKFS-2 data on new satellites, it is reasonable to use XCO2 observations at the TCCON terrestrial network in addition to conventional contact measurements of CO2 concentrations. Along with this, it seems rational to use the cryogenic film thickness on the glass of the IKFS-2 photodetector, characterizing the state of the instrument, as additional predictor in the regression model.
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About the authors
A. N. Rublev
State Research Centre “Planeta”
Author for correspondence.
Email: alex.rublev@mail.ru
Russian Federation, Moscow
V. V. Golomolzin
State Research Centre “Planeta”
Email: alex.rublev@mail.ru
Russian Federation, Moscow
А. B. Uspensky
State Research Centre “Planeta”
Email: alex.rublev@mail.ru
Russian Federation, Moscow
Yu. V. Kiseleva
State Research Centre “Planeta”
Email: alex.rublev@mail.ru
Russian Federation, Moscow
D. A. Kozlov
Federal State Unitary Enterprise Keldysh Research Center
Email: alex.rublev@mail.ru
Russian Federation, Moscow
B. D. Belan
V.E. Zuev Institute of Atmospheric Optics
Email: alex.rublev@mail.ru
Russian Federation, Tomsk
M. Y. Arshinov
V.E. Zuev Institute of Atmospheric Optics
Email: alex.rublev@mail.ru
Russian Federation, Tomsk
Yu. M. Timofeev
Saint Petersburg State University
Email: alex.rublev@mail.ru
Russian Federation, Saint Petersburg
А. V. Panov
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences
Email: alex.rublev@mail.ru
Russian Federation, Krasnoyarsk
A. S. Prokushkin
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences
Email: alex.rublev@mail.ru
Russian Federation, Krasnoyarsk
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