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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-19
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-19
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 12 Feb 2020

Submitted as: research article | 12 Feb 2020

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This preprint is currently under review for the journal AMT.

Atmospheric CO2 and CH4 abundances on regional scales in boreal areas using CAMS reanalysis, COCCON spectrometers and Sentinel-5 Precursor satellite observations

Qiansi Tu1, Frank Hase1, Thomas Blumenstock1, Rigel Kivi2, Pauli Heikkinen2, Mahesh Kumar Sha3, Uwe Raffalski4, Jochen Landgraf5, Alba Lorente5, Tobias Borsdorff5, and Huilin Chen6 Qiansi Tu et al.
  • 1Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
  • 2Finnish Meteorological Institute, Sodankylä, Finland
  • 3Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
  • 4Swedish Institute of Space Physics, Kiruna, Sweden
  • 5SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
  • 6Centre for Isotope Research, University of Groningen, Groningen, the Netherlands

Abstract. We compare the atmospheric column-averaged dry-air mole fractions of carbon dioxide (XCO2) and methane (XCH4) measured with a pair of COCCON spectrometers at Kiruna and Sodankylä sites in boreal areas with model data provided by the Copernicus Atmosphere Monitoring Service (CAMS) and with XCH4 from the recently launched Sentinel-5 Precursor (S5P) satellite. Both sites show a similar and very good correlation between COCCON retrievals and the modeled CAMS XCO2 and XCH4 data. CAMS data are biased high with respect to COCCON in both XCO2 and XCH4, while the S5P satellite generally measures lower atmospheric XCH4 than the COCCON spectrometers. The gradients of XCO2 and XCH4 (ΔXCO2 and ΔXCH4) between Kiruna and Sodankylä derived from CAMS reanalysis and COCCON and S5P measurements are investigated to study the capability of detecting sources and sinks on regional scales. CAMS, COCCON and S5P predict gradients in reasonable agreement. However, the small number of observations coinciding with S5P limits our ability to verify the performance of this sensor. Overall, the results indicate that the COCCON instrument has the capability of measuring greenhouse gas (GHG) gradients on regional scales and observations performed with the portable spectrometers can contribute to inferring sources and sinks and to validating space borne greenhouse gas sensors.

Qiansi Tu et al.

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Short summary
Two COCCON instruments are used to observe multi-year greenhouse gases in boreal areas, compared with the CAMS reanalysis and S5P satellite data. These three datasets predict greenhouse gas gradients in 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 space borne greenhouse gas sensor.
Two COCCON instruments are used to observe multi-year greenhouse gases in boreal areas, compared...
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