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.
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
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
Data sets
MLS/Aura Level 2 Nitrous Oxide (N2O) Mixing Ratio V004 A. Lambert, N. Livesey, and W. Read https://disc.gsfc.nasa.gov/datasets/ML2N2O_004/summary
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...