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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-123
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-123
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 27 Jun 2019

Development and technical paper | 27 Jun 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM-MACH-GHG v.137-reg

Jinwoong Kim, Saroja Polavarapu, Douglas Chan, and Michael Neish Jinwoong Kim et al.
  • Climate Research Division, Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada

Abstract. In this study, we present the development of a regional atmospheric transport model for greenhouse gas (GHG) simulation based on an operational weather forecast model and a chemical transport model at Environment and Climate Change Canada (ECCC), with the goal of improving our understanding of the high spatio-temporal resolution interaction between the atmosphere and surface GHG fluxes over Canada and the United States. The regional model uses 10 km × 10 km horizontal grid spacing and 80 vertical levels spanning the ground to 0.1 hPa. The lateral boundary conditions of meteorology and tracers are provided by the global transport model used for GHG simulation at ECCC. The performance of the regional model and added benefit of the regional model over our lower resolution global models is investigated in terms of modelled CO2 concentration and meteorological forecast quality for multiple seasons in 2015. We find that our regional model has the capability to simulate high spatial (horizontal and vertical) and temporal scales of atmospheric CO2 concentrations, based on comparisons to surface and aircraft observations. In addition, reduced bias and standard deviation of forecast error in boreal summer are obtained by the regional model. Better representation of model topography in the regional model reduces transport and representation errors significantly compared to the global model, especially in regions of complex topography, as revealed by the more precise and detailed structure of the CO2 diurnal cycle produced at observation sites and in model space. The new regional model will form the basis of a flux inversion system that estimates regional scale fluxes of GHGs over Canada.

Jinwoong Kim et al.
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Status: open (until 22 Aug 2019)
Status: open (until 22 Aug 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Jinwoong Kim et al.
Model code and software

GEM-MACH-GHG revision 137 M. Neish, M. Tanguay, K. Semeniuk, S. M. Polavarapu, J. DeGrandpre, C. Girard, A. Qaddouri, S. Gravel, D. Chan, S. Ren, and GEM-MACH development team https://doi.org/10.5281/zenodo.3246556

Jinwoong Kim et al.
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Short summary
GEM-MACH-GHG is a coupled weather and greenhouse gas transport model at Environment and Climate Change Canada. We have developed the regional version of GEM-MACH-GHG, mainly focusing on Canada and the United States, as a follow up to the global version of GEM-MACH-GHG. The regional model is superior to our global model in terms of weather forecasts and CO2 simulation, especially over the regions of complex topography.
GEM-MACH-GHG is a coupled weather and greenhouse gas transport model at Environment and Climate...
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