Russian Federation
Russian Federation
This work is a continuation of previous studies on the relation between surface methane concentration with meteorological parameters and data on gray tone in 12 spectral bands of Sentinel-2 in the vicinity of Tiksi station. Almost similar analysis was carried out using a sample of daily observations and satellite imagery in summer months for the period from 2016 until 2022 year. It is shown that the regression models, calculated using sample of data for winter period are not applicable to predict surface methane concentration in summer months: determination coefficient for all models was less than 0,5, application of nonlinear models resulted in negative methane concentration. Regression analysis revealed a relation of Sentinel-2 spectral bands, or indices which inclusion together with wind speed in single statistical model caused the highest increase of determination coefficient. Two regression models were developed to evaluate surface methane concentration, which include relations between 2, 4, 7, 8, 9, 10 and 11 Sentinel-2 MSI bands and data on wind speed. After comparison of given MSI spectral bands with absorption lines of atmospheric gas components, it was found, that developed models for summer period are describing same effects as models for winter period: methane concentrations variability in atmosphere and sink of methane due to its reaction with hydroxyl radical OH.
methane, satellite, Sentinel-2, greenhouse gases, monitoring, observations, concentrations, Tiksi, Arctic summer season
1. Zelenova M.S., Ginzburg V.A., Maksimova O.V. i dr. Obzor deystvuyuschih i planiruemyh sistem sputnikovogo monitoringa parnikovyh gazov i vozmozhnosti ih primeneniya dlya resheniya prikladnyh klimaticheskih zadach // Ekologicheskiy monitoring i modelirovanie ekosistem. 2022. T. 33, № 1-2. S. 108–130. DOIhttps://doi.org/10.21513/0207-2564-2022-1-2-108-130.
2. Uspenskiy A.B. Izmereniya raspredeleniya soderzhaniya parnikovyh gazov v atmosfere so sputnikov // Fundamental'naya i prikladnaya klimatologiya. 2022. T. 8, № 1. S. 122–144. DOIhttps://doi.org/10.21513/2410-8758-2022-1-122-144.
3. Jiang Y., Zhang L., Zhang X., et al. Methane Retrieval Algorithms Based on Satellite: A Review // Atmosphere. 2024. Vol. 15. No. 4. P. 449. DOIhttps://doi.org/10.3390/atmos15040449.
4. Jacob D.J., Varon D.J., Cusworth D.H., et al. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane // Atmospheric Chemistry and Physics. 2022. Vol. 22. No. 14. P. 9617–9646. DOIhttps://doi.org/10.5194/acp-22-9617-2022.
5. Koshelev D. First ground based FTIR-TCCON measurements of CO2 in a European megacity: comparison with a rural site and validation of satellite measurements: dissertation. Paris, 2018. 129 p.
6. Nikitenko A.A., Timofeev Yu.M., Berezin I.A. i dr. Analiz soderzhaniya CO2 vblizi rossiyskih gorodov po sputnikovym izmereniyam OCO-2 // Optika atmosfery i okeana. 2020. T. 33, № 7. S. 538–543. DOIhttps://doi.org/10.15372/AOO20200706.
7. Schultz M., Akimoto H., Bottenheim J., et al. The Global Atmosphere Watch reactive gases measurement network // Elementa: Science of the Anthropocene. 2015. Vol. 3. P. 000067. DOIhttps://doi.org/10.12952/journal.elementa.000067.
8. Lorente A., Borsdorff T., Martinez-Velarte M.C., et al. Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements // Atmospheric Measurement Techniques. 2022. Vol. 15. No. 22. P. 6585–6603. DOIhttps://doi.org/10.5194/amt-15-6585-2022.
9. Cooper J., Dubey L., Hawkes A. Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting // Environmental Science: Atmospheres. 2022. Vol. 2. P. 9–23. DOIhttps://doi.org/10.1039/D1EA00046B.
10. Popov N.V., Malinnikov V.A. Razrabotka statisticheskih modeley ocenki koncentracii metana v prizemnom sloe atmosfery po materialam kosmicheskoy s'emki v zimniy period // Vestnik SGUGiT. 2025. T. 30, № 3. S. 77–85. DOIhttps://doi.org/10.33764/2411-1759-2025-30-3-77-85.
11. Kochetkova E.D. Nablyudeniya za koncentraciey parnikovyh gazov v GMO Tiksi // Materialy Vserossiyskoy nauchno-prakticheskoy konferencii «Gidrometeorologiya i fizika atmosfery: sovremennye dostizheniya i tendencii razvitiya», Sankt-Peterburg, 21–23 marta 2023 g. SPb.: Izdatel'sko-poligraficheskaya associaciya vysshih uchebnyh zavedeniy, 2023. S. 506–510.
12. Rodionova N.V. Korrelyaciya nazemnyh i sputnikovyh izmereniy koncentracii metana v prizemnom sloe atmosfery v rayone Tiksi // Issledovanie Zemli iz kosmosa. 2022. № 4. S. 3–11. DOIhttps://doi.org/10.31857/S0205961422040054.
13. Gordon I.E., Rothman L.S., Hargreaves R.J., et al. The HITRAN2020 molecular spectroscopic database // Journal of Quantitative Spectroscopy and Radiative Transfer. 2022. Vol. 277. P. 107949. DOIhttps://doi.org/10.1016/j.jqsrt.2021.107949.
