Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements

This study evaluates tropospheric columns of methane, carbon monoxide, and ozone in the Arctic simulated by 11 models. The Arctic is warming at nearly 4 times the global average rate, and with changing emissions in and near the region, it is important to understand Arctic atmospheric composition and...

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Published in:Atmospheric Chemistry and Physics
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: 2024
Subjects:
Online Access:https://doi.org/10.5194/acp-24-1079-2024
https://acp.copernicus.org/articles/24/1079/2024/
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spelling ftcopernicus:oai:publications.copernicus.org:acp111912 2024-09-15T17:38:36+00:00 Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (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 2024-01-24 application/pdf https://doi.org/10.5194/acp-24-1079-2024 https://acp.copernicus.org/articles/24/1079/2024/ eng eng doi:10.5194/acp-24-1079-2024 https://acp.copernicus.org/articles/24/1079/2024/ eISSN: 1680-7324 Text 2024 ftcopernicus https://doi.org/10.5194/acp-24-1079-2024 2024-08-28T05:24:15Z This study evaluates tropospheric columns of methane, carbon monoxide, and ozone in the Arctic simulated by 11 models. The Arctic is warming at nearly 4 times the global average rate, and with changing emissions in and near the region, it is important to understand Arctic atmospheric composition and how it is changing. Both measurements and modelling of air pollution in the Arctic are difficult, making model validation with local measurements valuable. 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). The models were selected as part of the 2021 Arctic Monitoring and Assessment Programme (AMAP) report on short-lived climate forcers. This work augments the model–measurement comparisons presented in that report by including a new data source: column-integrated FTIR measurements, whose spatial and temporal footprint is more representative of the free troposphere than in situ and satellite measurements. Mixing ratios of trace gases are modelled at 3-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 − 9.7 % for CH 4 , − 21 % for CO, and − 18 % for O 3 . Results for CH 4 are relatively consistent across the 4 years, whereas CO has a maximum negative bias in the spring and minimum in the summer and O 3 has a maximum difference centered around the summer. The average differences for the models are within the FTIR uncertainties for approximately 15 % of the model–location comparisons. Text AMAP Greenland Kiruna Ny Ålesund Ny-Ålesund Thule Copernicus Publications: E-Journals Atmospheric Chemistry and Physics 24 2 1079 1118
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description This study evaluates tropospheric columns of methane, carbon monoxide, and ozone in the Arctic simulated by 11 models. The Arctic is warming at nearly 4 times the global average rate, and with changing emissions in and near the region, it is important to understand Arctic atmospheric composition and how it is changing. Both measurements and modelling of air pollution in the Arctic are difficult, making model validation with local measurements valuable. 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). The models were selected as part of the 2021 Arctic Monitoring and Assessment Programme (AMAP) report on short-lived climate forcers. This work augments the model–measurement comparisons presented in that report by including a new data source: column-integrated FTIR measurements, whose spatial and temporal footprint is more representative of the free troposphere than in situ and satellite measurements. Mixing ratios of trace gases are modelled at 3-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 − 9.7 % for CH 4 , − 21 % for CO, and − 18 % for O 3 . Results for CH 4 are relatively consistent across the 4 years, whereas CO has a maximum negative bias in the spring and minimum in the summer and O 3 has a maximum difference centered 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 Fourier transform infrared (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 Fourier transform infrared (FTIR) measurements
title_short Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_full Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_fullStr Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_full_unstemmed Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_sort evaluating modelled tropospheric columns of ch4, co, and o3 in the arctic using ground-based fourier transform infrared (ftir) measurements
publishDate 2024
url https://doi.org/10.5194/acp-24-1079-2024
https://acp.copernicus.org/articles/24/1079/2024/
genre AMAP
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
genre_facet AMAP
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-24-1079-2024
https://acp.copernicus.org/articles/24/1079/2024/
op_doi https://doi.org/10.5194/acp-24-1079-2024
container_title Atmospheric Chemistry and Physics
container_volume 24
container_issue 2
container_start_page 1079
op_container_end_page 1118
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