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
We compare the atmospheric column-averaged dry-air mole fractions of carbon dioxide (XCO$_{2}$) and methane (XCH$_{4}$) measured with a pair of COllaborative Carbon Column Observing Network (COCCON) spectrometers at Kiruna and Sodankylä (boreal areas). We compare model data provided by the Copernicu...
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Copernicus Publications
2020
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Online Access: | https://publikationen.bibliothek.kit.edu/1000125581 https://publikationen.bibliothek.kit.edu/1000125581/91731267 https://doi.org/10.5445/IR/1000125581 |
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ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000125581 2023-05-15T17:04:08+02:00 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 Tu, Qiansi Hase, Frank Blumenstock, Thomas Kivi, Rigel Heikkinen, Pauli Sha, Mahesh Kumar Raffalski, Uwe Landgraf, Jochen Lorente, Alba Borsdorff, Tobias Chen, Huilin Dietrich, Florian Chen, Jia 2020-11-02 application/pdf https://publikationen.bibliothek.kit.edu/1000125581 https://publikationen.bibliothek.kit.edu/1000125581/91731267 https://doi.org/10.5445/IR/1000125581 eng eng Copernicus Publications info:eu-repo/semantics/altIdentifier/wos/000571414500001 info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-13-4751-2020 info:eu-repo/semantics/altIdentifier/issn/1867-8548 https://publikationen.bibliothek.kit.edu/1000125581 https://publikationen.bibliothek.kit.edu/1000125581/91731267 https://doi.org/10.5445/IR/1000125581 https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess CC-BY Atmospheric measurement techniques, 13 (9), 4751–4771 ISSN: 1867-8548 ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion 2020 ftubkarlsruhe https://doi.org/10.5445/IR/1000125581 https://doi.org/10.5194/amt-13-4751-2020 2022-09-04T22:09:30Z We compare the atmospheric column-averaged dry-air mole fractions of carbon dioxide (XCO$_{2}$) and methane (XCH$_{4}$) measured with a pair of COllaborative Carbon Column Observing Network (COCCON) spectrometers at Kiruna and Sodankylä (boreal areas). We compare model data provided by the Copernicus Atmosphere Monitoring Service (CAMS) between 2017 and 2019 with XCH$_{4}$ data from the recently launched Sentinel-5 Precursor (S5P) satellite between 2018 and 2019. In addition, measured and modeled gradients of XCO$_{2}$ and XCH$_{4}$ (ΔXCO$_{2}$ and ΔXCH$_{4}$) on regional scales are investigated. Both sites show a similar and very good correlation between COCCON retrievals and the modeled CAMS XCO$_{2}$ data, while CAMS data are biased high with respect to COCCON by 3.72 ppm (±1.80 ppm) in Kiruna and 3.46 ppm (±1.73 ppm) in Sodankylä on average. For XCH$_{4}$, CAMS values are higher than the COCCON observations by 0.33 ppb (±11.93 ppb) in Kiruna and 7.39 ppb (±10.92 ppb) in Sodankylä. In contrast, the S5P satellite generally measures lower atmospheric XCH$_{4}$ than the COCCON spectrometers, with a mean difference of 9.69 ppb (±20.51 ppb) in Kiruna and 3.36 ppb (±17.05 ppb) in Sodankylä. We compare the gradients of XCO$_{2}$ and XCH$_{4}$ (ΔXCO$_{2}$ and ΔXCH$_{4}$) between Kiruna and Sodankylä derived from CAMS analysis and COCCON and S5P measurements to study the capability of detecting sources and sinks on regional scales. The correlations in ΔXCO$_{2}$ and ΔXCH$_{4}$ between the different datasets are generally smaller than the correlations in XCO$_{2}$ and XCH$_{4}$ between the datasets at either site. The ΔXCO$_{2}$ values predicted by CAMS are generally higher than those observed with COCCON with a slope of 0.51. The ΔXCH$_{4}$ values predicted by CAMS are mostly higher than those observed with COCCON with a slope of 0.65, covering a larger dataset than the comparison between S5P and COCCON. When comparing CAMS ΔXCH$_{4}$ with COCCON ΔXCH$_{4}$ only in S5P overpass days (slope = 0.53), the correlation is ... Article in Journal/Newspaper Kiruna Sodankylä KITopen (Karlsruhe Institute of Technologie) Kiruna Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) |
institution |
Open Polar |
collection |
KITopen (Karlsruhe Institute of Technologie) |
op_collection_id |
ftubkarlsruhe |
language |
English |
topic |
ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
spellingShingle |
ddc:550 Earth sciences info:eu-repo/classification/ddc/550 Tu, Qiansi Hase, Frank Blumenstock, Thomas Kivi, Rigel Heikkinen, Pauli Sha, Mahesh Kumar Raffalski, Uwe Landgraf, Jochen Lorente, Alba Borsdorff, Tobias Chen, Huilin Dietrich, Florian Chen, Jia 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 |
topic_facet |
ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
description |
We compare the atmospheric column-averaged dry-air mole fractions of carbon dioxide (XCO$_{2}$) and methane (XCH$_{4}$) measured with a pair of COllaborative Carbon Column Observing Network (COCCON) spectrometers at Kiruna and Sodankylä (boreal areas). We compare model data provided by the Copernicus Atmosphere Monitoring Service (CAMS) between 2017 and 2019 with XCH$_{4}$ data from the recently launched Sentinel-5 Precursor (S5P) satellite between 2018 and 2019. In addition, measured and modeled gradients of XCO$_{2}$ and XCH$_{4}$ (ΔXCO$_{2}$ and ΔXCH$_{4}$) on regional scales are investigated. Both sites show a similar and very good correlation between COCCON retrievals and the modeled CAMS XCO$_{2}$ data, while CAMS data are biased high with respect to COCCON by 3.72 ppm (±1.80 ppm) in Kiruna and 3.46 ppm (±1.73 ppm) in Sodankylä on average. For XCH$_{4}$, CAMS values are higher than the COCCON observations by 0.33 ppb (±11.93 ppb) in Kiruna and 7.39 ppb (±10.92 ppb) in Sodankylä. In contrast, the S5P satellite generally measures lower atmospheric XCH$_{4}$ than the COCCON spectrometers, with a mean difference of 9.69 ppb (±20.51 ppb) in Kiruna and 3.36 ppb (±17.05 ppb) in Sodankylä. We compare the gradients of XCO$_{2}$ and XCH$_{4}$ (ΔXCO$_{2}$ and ΔXCH$_{4}$) between Kiruna and Sodankylä derived from CAMS analysis and COCCON and S5P measurements to study the capability of detecting sources and sinks on regional scales. The correlations in ΔXCO$_{2}$ and ΔXCH$_{4}$ between the different datasets are generally smaller than the correlations in XCO$_{2}$ and XCH$_{4}$ between the datasets at either site. The ΔXCO$_{2}$ values predicted by CAMS are generally higher than those observed with COCCON with a slope of 0.51. The ΔXCH$_{4}$ values predicted by CAMS are mostly higher than those observed with COCCON with a slope of 0.65, covering a larger dataset than the comparison between S5P and COCCON. When comparing CAMS ΔXCH$_{4}$ with COCCON ΔXCH$_{4}$ only in S5P overpass days (slope = 0.53), the correlation is ... |
format |
Article in Journal/Newspaper |
author |
Tu, Qiansi Hase, Frank Blumenstock, Thomas Kivi, Rigel Heikkinen, Pauli Sha, Mahesh Kumar Raffalski, Uwe Landgraf, Jochen Lorente, Alba Borsdorff, Tobias Chen, Huilin Dietrich, Florian Chen, Jia |
author_facet |
Tu, Qiansi Hase, Frank Blumenstock, Thomas Kivi, Rigel Heikkinen, Pauli Sha, Mahesh Kumar Raffalski, Uwe Landgraf, Jochen Lorente, Alba Borsdorff, Tobias Chen, Huilin Dietrich, Florian Chen, Jia |
author_sort |
Tu, Qiansi |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://publikationen.bibliothek.kit.edu/1000125581 https://publikationen.bibliothek.kit.edu/1000125581/91731267 https://doi.org/10.5445/IR/1000125581 |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Kiruna Sodankylä |
geographic_facet |
Kiruna Sodankylä |
genre |
Kiruna Sodankylä |
genre_facet |
Kiruna Sodankylä |
op_source |
Atmospheric measurement techniques, 13 (9), 4751–4771 ISSN: 1867-8548 |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000571414500001 info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-13-4751-2020 info:eu-repo/semantics/altIdentifier/issn/1867-8548 https://publikationen.bibliothek.kit.edu/1000125581 https://publikationen.bibliothek.kit.edu/1000125581/91731267 https://doi.org/10.5445/IR/1000125581 |
op_rights |
https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5445/IR/1000125581 https://doi.org/10.5194/amt-13-4751-2020 |
_version_ |
1766058168909037568 |