Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-4751-2020
© Author(s) 2020. 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-13-4751-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Sep 2020
Research article |
| 09 Sep 2020
| 09 Sep 2020
Intercomparison of atmospheric CO2 and CH4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations
Qiansi Tu
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe, Germany
Frank Hase
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe, Germany
Thomas Blumenstock
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe, Germany
Rigel Kivi
Finnish Meteorological Institute, Sodankylä, Finland
Pauli Heikkinen
Finnish Meteorological Institute, Sodankylä, Finland
Mahesh Kumar Sha
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels,
Belgium
Uwe Raffalski
Swedish Institute of Space Physics, Kiruna, Sweden
Jochen Landgraf
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Alba Lorente
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Huilin Chen
Centre for Isotope Research, University of Groningen, Groningen, the Netherlands
Florian Dietrich
Environmental Sensing and Modeling, Technical University of Munich,
Munich, Germany
Environmental Sensing and Modeling, Technical University of Munich,
Munich, Germany
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Cited
20 citations as recorded by crossref.
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- Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
- Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg Y. Timofeyev et al. 10.1134/S0001433822030100
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- Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software P. Aigner et al. 10.21105/joss.05131
- Spatiotemporal Variations of XCH4 across China during 2003–2021 Based on Observations from Multiple Satellites J. Qin et al. 10.3390/atmos13091362
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
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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 C. Alberti et al. 10.5194/amt-15-2199-2022
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- Testing the altitude attribution and vertical resolution of AirCore measurements with a new spiking method T. Wagenhäuser et al. 10.5194/amt-14-3923-2021
- Theoretically predicted CO2 lines near 700 nm not observed A. Balashov et al. 10.1016/j.jqsrt.2024.108978
20 citations as recorded by crossref.
- CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
- Intercomparison of arctic XH<sub>2</sub>O observations from three ground-based Fourier transform infrared networks and application for satellite validation Q. Tu et al. 10.5194/amt-14-1993-2021
- Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
- Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg Y. Timofeyev et al. 10.1134/S0001433822030100
- MUCCnet: Munich Urban Carbon Column network F. Dietrich et al. 10.5194/amt-14-1111-2021
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
- Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations M. Zhou et al. 10.1007/s00376-022-2116-0
- Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
- Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software P. Aigner et al. 10.21105/joss.05131
- Spatiotemporal Variations of XCH4 across China during 2003–2021 Based on Observations from Multiple Satellites J. Qin et al. 10.3390/atmos13091362
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Validation of XCO<sub>2</sub> and XCH<sub>4</sub> retrieved from a portable Fourier transform spectrometer with those from in situ profiles from aircraft-borne instruments H. Ohyama et al. 10.5194/amt-13-5149-2020
- Atmospheric N2O and CH4 total columns retrieved from low-resolution Fourier transform infrared (FTIR) spectra (Bruker VERTEX 70) in the mid-infrared region M. Zhou et al. 10.5194/amt-16-5593-2023
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
- Testing the altitude attribution and vertical resolution of AirCore measurements with a new spiking method T. Wagenhäuser et al. 10.5194/amt-14-3923-2021
- Theoretically predicted CO2 lines near 700 nm not observed A. Balashov et al. 10.1016/j.jqsrt.2024.108978
Latest update: 19 Apr 2024
Short summary
Two COCCON instruments are used to observe multiyear greenhouse gases in boreal areas and are compared with the CAMS analysis and S5P satellite data. These three datasets predict greenhouse gas gradients with reasonable agreement. The results indicate that the COCCON instrument has the capability of measuring gradients on regional scales, and observations performed with the portable spectrometers can contribute to inferring sources and sinks and to validating spaceborne greenhouse gases.
Two COCCON instruments are used to observe multiyear greenhouse gases in boreal areas and are...
