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Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations

Alberti, Carlos ORCID iD icon 1; Tu, Qiansi 1; Hase, Frank 1; Makarova, Maria V.; Gribanov, Konstantin; Foka, Stefani C.; Zakharov, Vyacheslav; Blumenstock, Thomas ORCID iD icon 1; Buchwitz, Michael; Diekmann, Christopher 1; Ertl, Benjamin 2; Frey, Matthias M. 1; Imhasin, Hamud Kh.; Ionov, Dmitry V.; Khosrawi, Farahnaz 1; Osipov, Sergey I.; Reuter, Maximilian; Schneider, Matthias 1; Warneke, Thorsten
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)
2 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

This work employs ground- and space-based observations, together with model data, to study columnar abundances of atmospheric trace gases (XH$_2$O, XCO$_2$, XCH$_4$ 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 latitudes are much sparser than at low or mid latitudes, which makes direct coincident comparisons between remote-sensing observations more difficult. Therefore, a method of scaling continuous Copernicus Atmosphere Monitoring Service (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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000146290
Veröffentlicht am 12.05.2022
Originalveröffentlichung
DOI: 10.5194/amt-15-2199-2022
Scopus
Zitationen: 9
Web of Science
Zitationen: 7
Dimensions
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000146290
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 15
Heft 7
Seiten 2199–2229
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 13.04.2022
Nachgewiesen in Dimensions
Web of Science
Scopus
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