Articles | Volume 24, issue 2
https://doi.org/10.5194/acp-24-1079-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-1079-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2024
Research article |
| 24 Jan 2024
| 24 Jan 2024
Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
Department of Physics, University of Toronto, Toronto, ON, Canada
Kimberly Strong
Department of Physics, University of Toronto, Toronto, ON, Canada
Cynthia H. Whaley
Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada
Kaley A. Walker
Department of Physics, University of Toronto, Toronto, ON, Canada
Thomas Blumenstock
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, Karlsruhe, Germany
James W. Hannigan
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Johan Mellqvist
Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Mathias Palm
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Amelie N. Röhling
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, Karlsruhe, Germany
Stephen Arnold
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
Stephen Beagley
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Rong-You Chien
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA
Jesper Christensen
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Makoto Deushi
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
Srdjan Dobricic
Joint Research Centre, European Commission, Ispra, Italy
Xinyi Dong
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA
Joshua S. Fu
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA
Computational Earth Science Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Michael Gauss
Division for Climate Modelling and Air Pollution, Norwegian Meteorological Institute, Oslo, Norway
Wanmin Gong
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Joakim Langner
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Kathy S. Law
UVSQ, CNRS, LATMOS, Sorbonne Université, Paris, France
Louis Marelle
UVSQ, CNRS, LATMOS, Sorbonne Université, Paris, France
Tatsuo Onishi
UVSQ, CNRS, LATMOS, Sorbonne Université, Paris, France
Naga Oshima
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
David A. Plummer
Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada
Luca Pozzoli
FINCONS SPA, Via Torri Bianche 10, Vimercate, Italy
Joint Research Centre, European Commission, Ispra, Italy
Jean-Christophe Raut
UVSQ, CNRS, LATMOS, Sorbonne Université, Paris, France
Manu A. Thomas
FINCONS SPA, Via Torri Bianche 10, Vimercate, Italy
Svetlana Tsyro
Division for Climate Modelling and Air Pollution, Norwegian Meteorological Institute, Oslo, Norway
Steven Turnock
Met Office Hadley Centre, Exeter, UK
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
Data sets
AMAP SLCF models output in NetCDF format CCCma (Canadian Centre for Climate Modelling and analysis) https://doi.org/10.18164/e0a0ac5c-d851-45b9-b6d9-4abc29d7d419
Short summary
It is important to understand the composition of the Arctic atmosphere and how it is changing. Atmospheric models provide simulations that can inform policy. This study examines simulations of CH4, CO, and O3 by 11 models. Model performance is assessed by comparing results matched in space and time to measurements from five high-latitude ground-based infrared spectrometers. This work finds that models generally underpredict the concentrations of these gases in the Arctic troposphere.
It is important to understand the composition of the Arctic atmosphere and how it is changing....
Altmetrics
Final-revised paper
Preprint