Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 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: V. A. Flood, K. Strong, C. H. Whaley, K. A. Walker, T. Blumenstock, J. W. Hannigan, J. Mellqvist, J. Notholt, M. Palm, A. N. Röhling, S. Arnold, S. Beagley, R.-Y. Chien, J. Christensen, M. Deushi, S. Dobricic, X. Dong, J. S. Fu, M. Gauss, W. Gong, J. Langner, K. S. Law, L. Marelle, T. Onishi, N. Oshima, D. A. Plummer, L. Pozzoli, J.-C. Raut, M. A. Thomas, S. Tsyro, S. Turnock
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2024
Subjects:
Online Access:https://doi.org/10.5194/acp-24-1079-2024
https://doaj.org/article/964293e1342d47d9a56139b0ebeb16a7
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spelling ftdoajarticles:oai:doaj.org/article:964293e1342d47d9a56139b0ebeb16a7 2024-02-27T08:32:48+00:00 Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements V. A. Flood K. Strong C. H. Whaley K. A. Walker T. Blumenstock J. W. Hannigan J. Mellqvist J. Notholt M. Palm A. N. Röhling S. Arnold S. Beagley R.-Y. Chien J. Christensen M. Deushi S. Dobricic X. Dong J. S. Fu M. Gauss W. Gong J. Langner K. S. Law L. Marelle T. Onishi N. Oshima D. A. Plummer L. Pozzoli J.-C. Raut M. A. Thomas S. Tsyro S. Turnock 2024-01-01T00:00:00Z https://doi.org/10.5194/acp-24-1079-2024 https://doaj.org/article/964293e1342d47d9a56139b0ebeb16a7 EN eng Copernicus Publications https://acp.copernicus.org/articles/24/1079/2024/acp-24-1079-2024.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-24-1079-2024 1680-7316 1680-7324 https://doaj.org/article/964293e1342d47d9a56139b0ebeb16a7 Atmospheric Chemistry and Physics, Vol 24, Pp 1079-1118 (2024) Physics QC1-999 Chemistry QD1-999 article 2024 ftdoajarticles https://doi.org/10.5194/acp-24-1079-2024 2024-01-28T02:03:32Z 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. Article in Journal/Newspaper AMAP Arctic Greenland Kiruna Ny Ålesund Ny-Ålesund Thule Directory of Open Access Journals: DOAJ Articles Arctic Canada Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Greenland Kiruna Norway Ny-Ålesund Atmospheric Chemistry and Physics 24 2 1079 1118
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Physics
QC1-999
Chemistry
QD1-999
spellingShingle Physics
QC1-999
Chemistry
QD1-999
V. A. Flood
K. Strong
C. H. Whaley
K. A. Walker
T. Blumenstock
J. W. Hannigan
J. Mellqvist
J. Notholt
M. Palm
A. N. Röhling
S. Arnold
S. Beagley
R.-Y. Chien
J. Christensen
M. Deushi
S. Dobricic
X. Dong
J. S. Fu
M. Gauss
W. Gong
J. Langner
K. S. Law
L. Marelle
T. Onishi
N. Oshima
D. A. Plummer
L. Pozzoli
J.-C. Raut
M. A. Thomas
S. Tsyro
S. Turnock
Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
topic_facet Physics
QC1-999
Chemistry
QD1-999
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 Article in Journal/Newspaper
author V. A. Flood
K. Strong
C. H. Whaley
K. A. Walker
T. Blumenstock
J. W. Hannigan
J. Mellqvist
J. Notholt
M. Palm
A. N. Röhling
S. Arnold
S. Beagley
R.-Y. Chien
J. Christensen
M. Deushi
S. Dobricic
X. Dong
J. S. Fu
M. Gauss
W. Gong
J. Langner
K. S. Law
L. Marelle
T. Onishi
N. Oshima
D. A. Plummer
L. Pozzoli
J.-C. Raut
M. A. Thomas
S. Tsyro
S. Turnock
author_facet V. A. Flood
K. Strong
C. H. Whaley
K. A. Walker
T. Blumenstock
J. W. Hannigan
J. Mellqvist
J. Notholt
M. Palm
A. N. Röhling
S. Arnold
S. Beagley
R.-Y. Chien
J. Christensen
M. Deushi
S. Dobricic
X. Dong
J. S. Fu
M. Gauss
W. Gong
J. Langner
K. S. Law
L. Marelle
T. Onishi
N. Oshima
D. A. Plummer
L. Pozzoli
J.-C. Raut
M. A. Thomas
S. Tsyro
S. Turnock
author_sort V. A. Flood
title Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_short Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_full Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_fullStr Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_full_unstemmed Evaluating modelled tropospheric columns of CH 4 , CO, and O 3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
title_sort evaluating modelled tropospheric columns of ch 4 , co, and o 3 in the arctic using ground-based fourier transform infrared (ftir) measurements
publisher Copernicus Publications
publishDate 2024
url https://doi.org/10.5194/acp-24-1079-2024
https://doaj.org/article/964293e1342d47d9a56139b0ebeb16a7
long_lat ENVELOPE(-85.940,-85.940,79.990,79.990)
geographic Arctic
Canada
Eureka
Greenland
Kiruna
Norway
Ny-Ålesund
geographic_facet Arctic
Canada
Eureka
Greenland
Kiruna
Norway
Ny-Ålesund
genre AMAP
Arctic
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
genre_facet AMAP
Arctic
Greenland
Kiruna
Ny Ålesund
Ny-Ålesund
Thule
op_source Atmospheric Chemistry and Physics, Vol 24, Pp 1079-1118 (2024)
op_relation https://acp.copernicus.org/articles/24/1079/2024/acp-24-1079-2024.pdf
https://doaj.org/toc/1680-7316
https://doaj.org/toc/1680-7324
doi:10.5194/acp-24-1079-2024
1680-7316
1680-7324
https://doaj.org/article/964293e1342d47d9a56139b0ebeb16a7
op_doi https://doi.org/10.5194/acp-24-1079-2024
container_title Atmospheric Chemistry and Physics
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