Articles | Volume 15, issue 7
https://doi.org/10.5194/amt-15-2199-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2199-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Apr 2022
Research article |
| 13 Apr 2022
| 13 Apr 2022
Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Qiansi Tu
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Frank Hase
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Maria V. Makarova
Department of Atmospheric Physics, Faculty of Physics, Saint Petersburg State University, St Petersburg, 199034, Russia
Konstantin Gribanov
Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, 620000, Russia
Stefani C. Foka
Department of Atmospheric Physics, Faculty of Physics, Saint Petersburg State University, St Petersburg, 199034, Russia
Vyacheslav Zakharov
Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, 620000, Russia
Thomas Blumenstock
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Michael Buchwitz
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Christopher Diekmann
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Benjamin Ertl
Karlsruhe Institute of Technology, Steinbuch Centre for Computing (SCC), 76344 Eggenstein-Leopoldshafen, Germany
Matthias M. Frey
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
now at: National Institute for Environmental Studies (NIES), 305-8506, Tsukuba, Japan
Hamud Kh. Imhasin
Department of Atmospheric Physics, Faculty of Physics, Saint Petersburg State University, St Petersburg, 199034, Russia
Dmitry V. Ionov
Department of Atmospheric Physics, Faculty of Physics, Saint Petersburg State University, St Petersburg, 199034, Russia
Farahnaz Khosrawi
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Sergey I. Osipov
Department of Atmospheric Physics, Faculty of Physics, Saint Petersburg State University, St Petersburg, 199034, Russia
Maximilian Reuter
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
Matthias Schneider
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
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Cited
9 citations as recorded by crossref.
- Russian Investigations in the Field of Atmospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.1134/S0001433823150124
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
- Russian Investigations in the Field of Amtospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.31857/S000235152307012X
- Trends of Key Greenhouse Gases as Measured in 2009–2022 at the FTIR Station of St. Petersburg State University M. Makarova et al. 10.3390/rs16111996
- PROFFASTpylot: Running PROFFAST with Python L. Feld et al. 10.21105/joss.06481
- Ground solar absorption observations of total column CO, CO2, CH4, and aerosol optical depth from California's Sequoia Lightning Complex Fire: emission factors and modified combustion efficiency at regional scales I. Frausto-Vicencio et al. 10.5194/acp-23-4521-2023
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al. 10.1134/S0001433823020056
- Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard B. Herkommer et al. 10.5194/amt-17-3467-2024
- Complex Validation of Weather Research and Forecasting—Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland G. Nerobelov et al. 10.3390/rs15245757
9 citations as recorded by crossref.
- Russian Investigations in the Field of Atmospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.1134/S0001433823150124
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
- Russian Investigations in the Field of Amtospheric Radiation in 2019–2022 Y. Timofeyev et al. 10.31857/S000235152307012X
- Trends of Key Greenhouse Gases as Measured in 2009–2022 at the FTIR Station of St. Petersburg State University M. Makarova et al. 10.3390/rs16111996
- PROFFASTpylot: Running PROFFAST with Python L. Feld et al. 10.21105/joss.06481
- Ground solar absorption observations of total column CO, CO2, CH4, and aerosol optical depth from California's Sequoia Lightning Complex Fire: emission factors and modified combustion efficiency at regional scales I. Frausto-Vicencio et al. 10.5194/acp-23-4521-2023
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al. 10.1134/S0001433823020056
- Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard B. Herkommer et al. 10.5194/amt-17-3467-2024
- Complex Validation of Weather Research and Forecasting—Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland G. Nerobelov et al. 10.3390/rs15245757
Latest update: 29 Jun 2024
Short summary
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 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 inter-comparison, showing good agreement in both Peterhof and Yekaterinburg cities.
Satellite and ground-based observations at high latitudes are much sparser than at low or mid...
