Analysis of methane total column variations in the atmosphere near St. Petersburg using ground-based measurements and simulations

Makarova, Maria; Kirner, Oliver; Timofeev, Yu. M.; Поберовский, А. В.; Imkhasin, Kh. Kh.; Osipov, Sergey; Makarov, B. K.

doi:10.1134/s0001433815010089

Cited by 13 publications

(2 citation statements)

References 25 publications

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“…Compared to XCO2, XCH4 shows generally less seasonal variabilities with more short-term enhancements. The seasonal variation is comparable to the results of Gavrilov et al (2014), Makarova et al (2015aMakarova et al ( , 2015b and Timofeyev et al (2016). A slightly higher XCH4 is observed at the end of 2019 for all data products.…”

Section: Peterhofsupporting

confidence: 83%

Investigation of space-borne trace gas products over St. Petersburg and Yekaterinburg, Russia by using COCCON observations

Alberti

Hase

et al. 2021

Preprint

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Abstract. This work employs ground- and space-based observations, together with model data to study columnar abundances of atmospheric trace gases (XH2O, XCO2, XCH4, and XCO) in two high-latitude Russian cities, St. Petersburg and Yekaterinburg. Two portable COllaborative Column Carbon Observing Network (COCCON) spectrometers were used for continuous measurements at these locations during 2019 and 2020. Additionally, a subset of data of special interest (a strong gradient in XCH4 and XCO was detected) collected in the framework of a mobile city campaign performed in 2019 using both instruments is investigated. All studied satellite products (TROPOMI, OCO-2, GOSAT, MUSICA IASI) show generally good agreement with COCCON observations. Satellite and ground-based observations at high latitude are much sparser than at low or mid latitude, which makes direct coincident comparisons between remote-sensing observations more difficult. Therefore, a method of scaling continuous CAMS model data to the ground-based observations is developed and used for creating virtual COCCON observations. These adjusted CAMS data are then used for satellite validation, showing good agreement in both Peterhof and Yekaterinburg cities. The gradients between the two study sites (ΔXgas) are similar between CAMS and CAMS-COCCON data sets, indicating that the model gradients are in agreement with the gradients observed by COCCON. This is further supported by a few simultaneous COCCON and satellite ΔXgas measurements, which also agree with the model gradient. With respect to the city campaign observations recorded in St. Petersburg, the downwind COCCON station measured obvious enhancements for both XCH4 (10.6 ppb) and XCO (9.5 ppb), which is nicely reflected by TROPOMI observations, which detect city-scale gradients of the order 9.4 ppb for XCH4 and 12.5 ppb XCO, respectively.

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Section: Peterhofsupporting

confidence: 83%

Investigation of space-borne trace gas products over St. Petersburg and Yekaterinburg, Russia by using COCCON observations

Alberti

Hase

et al. 2021

Preprint

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“…The high spectral resolution FTIR system [26,27] replaced the low resolution (~0.4-0.6 cm −1 ) solar IR dispersive (grating) spectrometer used at the St. Petersburg site in 1991-2009 for total column (TC) measurements of CH 4 and CO [28,29].…”

Section: Spbu Ftir Systemmentioning

confidence: 99%

Trends of Key Greenhouse Gases as Measured in 2009–2022 at the FTIR Station of St. Petersburg State University

Makarova,

Poberovskii,

Polyakov

et al. 2024

Remote Sensing

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Key long-lived greenhouse gases (CO2, CH4, and N2O) are perhaps among the best-studied components of the Earth’s atmosphere today; however, attempts to predict or explain trends or even shorter-term variations of these trace gases are not always successful. Infrared spectroscopy is a recognized technique for the ground-based long-term monitoring of the gaseous composition of the atmosphere. The current paper is focused on the analysis of new data on CO2, CH4, and N2O total columns (TCs) retrieved from high resolution IR solar spectra acquired during 2009–2022 at the NDACC atmospheric monitoring station of St. Petersburg State University (STP station, 59.88°N, 29.83°E, 20 m asl.). The paper provides information on the FTIR system (Fourier-transform infrared) installed at the STP station, and an overview of techniques used for the CO2, CH4, and N2O retrievals. Trends of key greenhouse gases and their confidence levels were evaluated using an original approach which combines the Lomb–Scargle method with the cross-validation and bootstrapping techniques. As a result, the following fourteen-year (2009–2022) trends of TCs have been revealed: (0.56 ± 0.01) % yr−1 for CO2; (0.46 ± 0.02) % yr−1 for CH4; (0.28 ± 0.01) % yr−1 for N2O. A comparison with trends based on the EMAC numerical modeling data was carried out. The trends of greenhouse gases observed at the STP site are consistent with the results of the in situ monitoring performed at the same geographical location, and with the independent estimates of the global volume mixing ratio growth rates obtained by the GAW network and the NOAA Global Monitoring Laboratory. There is reasonable agreement between the CH4 and N2O TC trends for 2009–2019, which have been derived from FTIR measurements at three locations: the STP site, Izaña Observatory and the University of Toronto Atmospheric Observatory.

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Ground-based spectroscopic measurements of atmospheric gas composition near Saint Petersburg (Russia)

Timofeyev

Virolainen

Makarova

et al. 2016

Journal of Molecular Spectroscopy

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Analysis of methane total column variations in the atmosphere near St. Petersburg using ground-based measurements and simulations

Cited by 13 publications

References 25 publications

Investigation of space-borne trace gas products over St. Petersburg and Yekaterinburg, Russia by using COCCON observations

Investigation of space-borne trace gas products over St. Petersburg and Yekaterinburg, Russia by using COCCON observations

Trends of Key Greenhouse Gases as Measured in 2009–2022 at the FTIR Station of St. Petersburg State University

Ground-based spectroscopic measurements of atmospheric gas composition near Saint Petersburg (Russia)

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