Articles | Volume 15, issue 12
https://doi.org/10.5194/acp-15-6721-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-6721-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jun 2015
Research article |
| 17 Jun 2015
The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
S. R. Arnold
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
S. A. Monks
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
V. Huijnen
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
S. Tilmes
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
K. S. Law
Sorbonne Universités, UPMC Univ. Paris 06, Université Versailles St-Quentin, CNRS/INSU, LATMOS-IPSL, UMR8190, Paris, France
J. L. Thomas
Sorbonne Universités, UPMC Univ. Paris 06, Université Versailles St-Quentin, CNRS/INSU, LATMOS-IPSL, UMR8190, Paris, France
J.-C. Raut
Sorbonne Universités, UPMC Univ. Paris 06, Université Versailles St-Quentin, CNRS/INSU, LATMOS-IPSL, UMR8190, Paris, France
I. Bouarar
Sorbonne Universités, UPMC Univ. Paris 06, Université Versailles St-Quentin, CNRS/INSU, LATMOS-IPSL, UMR8190, Paris, France
now at: Max Planck Institute for Meteorology (MPI-M), Hamburg, Germany
S. Turquety
Laboratoire de Météorologie Dynamique, IPSL, CNRS, UMR8539, 91128 Palaiseau CEDEX, France
Y. Long
Laboratoire de Météorologie Dynamique, IPSL, CNRS, UMR8539, 91128 Palaiseau CEDEX, France
B. Duncan
NASA Goddard, Atmospheric Chemistry and Dynamics Laboratory, Code 614, Greenbelt, Maryland, USA
S. Steenrod
NASA Goddard, Atmospheric Chemistry and Dynamics Laboratory, Code 614, Greenbelt, Maryland, USA
S. Strode
NASA Goddard, Atmospheric Chemistry and Dynamics Laboratory, Code 614, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, MD, USA
J. Flemming
ECMWF, Reading, UK
NOAA GFDL and Princeton University, Princeton, NJ, USA
J. Langner
Swedish Meteorological and Hydrological Institute, 60176 Nörrkping, Sweden
A. M. Thompson
NASA Goddard, Atmospheric Chemistry and Dynamics Laboratory, Code 614, Greenbelt, Maryland, USA
D. Tarasick
Environment Canada, Downsview, Ontario, Canada
E. C. Apel
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
D. R. Blake
Department of Chemistry, University of California-Irvine, Irvine, CA, USA
R. C. Cohen
Chemistry Department, University of California-Berkeley, Berkeley, CA, USA
J. Dibb
University of New Hampshire, Durham, NH, USA
G. S. Diskin
NASA Langley Research Center, Chemistry and Dynamics Branch, Hampton, VA, USA
A. Fried
University of Colorado, Boulder, CO, USA
S. R. Hall
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
L. G. Huey
Georgia Institute of Technology, Atlanta, GA, USA
A. J. Weinheimer
Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
A. Wisthaler
University of Innsbruck, Innsbruck, Austria
University of Oslo, Oslo, Norway
T. Mikoviny
University of Innsbruck, Innsbruck, Austria
University of Oslo, Oslo, Norway
NOAA Earth System Research Lab, Boulder, CO, USA
now at: Aerodyne Research, Inc., Billerica, MA, USA
J. Peischl
NOAA Earth System Research Lab, Boulder, CO, USA
J. M. Roberts
NOAA Earth System Research Lab, Boulder, CO, USA
T. Ryerson
NOAA Earth System Research Lab, Boulder, CO, USA
C. Warneke
NOAA Earth System Research Lab, Boulder, CO, USA
D. Helmig
INSTAAR, University of Colorado, Boulder, CO, USA
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Saved (final revised paper)
Saved (final revised paper)
Latest update: 23 Mar 2023
Short summary
Eleven 3-D tropospheric chemistry models have been compared and evaluated with observations in the Arctic during the International Polar Year (IPY 2008). Large differences are seen among the models, particularly related to the model chemistry of volatile organic compounds (VOCs) and reactive nitrogen (NOx, PAN, HNO3) partitioning. Consistency among the models in the underestimation of CO, ethane and propane indicates the emission inventory is too low for these compounds.
Eleven 3-D tropospheric chemistry models have been compared and evaluated with observations in...
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