Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements

Both measurements and modelling of air pollution in the Arctic are difficult. Yet with the Arctic warming at nearly four times the global average rate, and changing emissions in and near the region, it is important to understand Arctic atmospheric composition and how it is changing. This study exami...

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Main Authors: Flood, Victoria A., Strong, Kimberly, Whaley, Cynthia H., Walker, Kaley A., Blumenstock, Thomas, Hannigan, James W., Mellqvist, Johan, Notholt, Justus, Palm, Mathias, Röhling, Amelie N., Arnold, Stephen, Beagley, Stephen, Chien, Rong-You, Christensen, Jesper, Deushi, Makoto, Dobricic, Srdjan, Dong, Xinyi, Fu, Joshua S., Gauss, Michael, Gong, Wanmin, Langner, Joakim, Law, Kathy S., Marelle, Louis, Onishi, Tatsuo, Oshima, Naga, Plummer, David A., Pozzoli, Luca, Raut, Jean-Christophe, Thomas, Manu A., Tsyro, Svetlana, Turnock, Steven
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-1161
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1161/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere111912 2023-07-30T04:00:54+02:00 Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements Flood, Victoria A. Strong, Kimberly Whaley, Cynthia H. Walker, Kaley A. Blumenstock, Thomas Hannigan, James W. Mellqvist, Johan Notholt, Justus Palm, Mathias Röhling, Amelie N. Arnold, Stephen Beagley, Stephen Chien, Rong-You Christensen, Jesper Deushi, Makoto Dobricic, Srdjan Dong, Xinyi Fu, Joshua S. Gauss, Michael Gong, Wanmin Langner, Joakim Law, Kathy S. Marelle, Louis Onishi, Tatsuo Oshima, Naga Plummer, David A. Pozzoli, Luca Raut, Jean-Christophe Thomas, Manu A. Tsyro, Svetlana Turnock, Steven 2023-07-03 application/pdf https://doi.org/10.5194/egusphere-2023-1161 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1161/ eng eng doi:10.5194/egusphere-2023-1161 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1161/ eISSN: Text 2023 ftcopernicus https://doi.org/10.5194/egusphere-2023-1161 2023-07-10T16:24:18Z Both measurements and modelling of air pollution in the Arctic are difficult. Yet with the Arctic warming at nearly four times the global average rate, and changing emissions in and near the region, it is important to understand Arctic atmospheric composition and how it is changing. This study examines the simulations of atmospheric concentrations of methane, carbon monoxide and ozone in the Arctic by 11 models. Evaluations are performed using data from five high-latitude ground-based Fourier transform infrared (FTIR) spectrometers in the Network for the Detection of Atmospheric Composition Change (NDACC). Mixing ratios of trace gases are modelled at three-hourly intervals by CESM, CMAM, DEHM, EMEP MSC-W, GEM-MACH, GEOS-Chem, MATCH, MATCH-SALSA, MRI-ESM2, UKESM1 and WRF-Chem for the years 2008, 2009, 2014, and 2015. The comparisons focus on the troposphere (0–7 km partial columns) at Eureka, Canada; Thule, Greenland; Ny Ålesund, Norway; Kiruna, Sweden; and Harestua, Norway. Overall, the models are biased low in the tropospheric column, on average by -9.6 % for CH 4 , -21 % for CO and -18 % for O 3 . Results for CH 4 are relatively consistent across the four years, whereas CO has a maximum negative bias in the spring and minimum in the summer, and O 3 has a maximum difference centred around the summer. The average differences for the models are within the FTIR uncertainties for approximately 15 % of the model-location comparisons. Text Arctic Greenland Kiruna Ny Ålesund Ny-Ålesund Thule Copernicus Publications: E-Journals Arctic Ny-Ålesund Kiruna Canada Greenland Norway Eureka ENVELOPE(-85.940,-85.940,79.990,79.990)
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Both measurements and modelling of air pollution in the Arctic are difficult. Yet with the Arctic warming at nearly four times the global average rate, and changing emissions in and near the region, it is important to understand Arctic atmospheric composition and how it is changing. This study examines the simulations of atmospheric concentrations of methane, carbon monoxide and ozone in the Arctic by 11 models. Evaluations are performed using data from five high-latitude ground-based Fourier transform infrared (FTIR) spectrometers in the Network for the Detection of Atmospheric Composition Change (NDACC). Mixing ratios of trace gases are modelled at three-hourly intervals by CESM, CMAM, DEHM, EMEP MSC-W, GEM-MACH, GEOS-Chem, MATCH, MATCH-SALSA, MRI-ESM2, UKESM1 and WRF-Chem for the years 2008, 2009, 2014, and 2015. The comparisons focus on the troposphere (0–7 km partial columns) at Eureka, Canada; Thule, Greenland; Ny Ålesund, Norway; Kiruna, Sweden; and Harestua, Norway. Overall, the models are biased low in the tropospheric column, on average by -9.6 % for CH 4 , -21 % for CO and -18 % for O 3 . Results for CH 4 are relatively consistent across the four years, whereas CO has a maximum negative bias in the spring and minimum in the summer, and O 3 has a maximum difference centred around the summer. The average differences for the models are within the FTIR uncertainties for approximately 15 % of the model-location comparisons.
format Text
author Flood, Victoria A.
Strong, Kimberly
Whaley, Cynthia H.
Walker, Kaley A.
Blumenstock, Thomas
Hannigan, James W.
Mellqvist, Johan
Notholt, Justus
Palm, Mathias
Röhling, Amelie N.
Arnold, Stephen
Beagley, Stephen
Chien, Rong-You
Christensen, Jesper
Deushi, Makoto
Dobricic, Srdjan
Dong, Xinyi
Fu, Joshua S.
Gauss, Michael
Gong, Wanmin
Langner, Joakim
Law, Kathy S.
Marelle, Louis
Onishi, Tatsuo
Oshima, Naga
Plummer, David A.
Pozzoli, Luca
Raut, Jean-Christophe
Thomas, Manu A.
Tsyro, Svetlana
Turnock, Steven
spellingShingle Flood, Victoria A.
Strong, Kimberly
Whaley, Cynthia H.
Walker, Kaley A.
Blumenstock, Thomas
Hannigan, James W.
Mellqvist, Johan
Notholt, Justus
Palm, Mathias
Röhling, Amelie N.
Arnold, Stephen
Beagley, Stephen
Chien, Rong-You
Christensen, Jesper
Deushi, Makoto
Dobricic, Srdjan
Dong, Xinyi
Fu, Joshua S.
Gauss, Michael
Gong, Wanmin
Langner, Joakim
Law, Kathy S.
Marelle, Louis
Onishi, Tatsuo
Oshima, Naga
Plummer, David A.
Pozzoli, Luca
Raut, Jean-Christophe
Thomas, Manu A.
Tsyro, Svetlana
Turnock, Steven
Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
author_facet Flood, Victoria A.
Strong, Kimberly
Whaley, Cynthia H.
Walker, Kaley A.
Blumenstock, Thomas
Hannigan, James W.
Mellqvist, Johan
Notholt, Justus
Palm, Mathias
Röhling, Amelie N.
Arnold, Stephen
Beagley, Stephen
Chien, Rong-You
Christensen, Jesper
Deushi, Makoto
Dobricic, Srdjan
Dong, Xinyi
Fu, Joshua S.
Gauss, Michael
Gong, Wanmin
Langner, Joakim
Law, Kathy S.
Marelle, Louis
Onishi, Tatsuo
Oshima, Naga
Plummer, David A.
Pozzoli, Luca
Raut, Jean-Christophe
Thomas, Manu A.
Tsyro, Svetlana
Turnock, Steven
author_sort Flood, Victoria A.
title Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
title_short Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
title_full Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
title_fullStr Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
title_full_unstemmed Evaluating modelled tropospheric columns of CH4, CO and O3 in the Arctic using ground-based FTIR measurements
title_sort evaluating modelled tropospheric columns of ch4, co and o3 in the arctic using ground-based ftir measurements
publishDate 2023
url https://doi.org/10.5194/egusphere-2023-1161
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1161/
long_lat ENVELOPE(-85.940,-85.940,79.990,79.990)
geographic Arctic
Ny-Ålesund
Kiruna
Canada
Greenland
Norway
Eureka
geographic_facet Arctic
Ny-Ålesund
Kiruna
Canada
Greenland
Norway
Eureka
genre Arctic
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
genre_facet Arctic
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-1161
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1161/
op_doi https://doi.org/10.5194/egusphere-2023-1161
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