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

<p>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...

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Bibliographic Details
Main Authors: J. Kim, S. M. Polavarapu, D. Chan, M. Neish
Format: Article
Language:English
Published: Copernicus Publications 2020-01-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/13/269/2020/gmd-13-269-2020.pdf
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Summary:<p>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-spatiotemporal-resolution interaction between the atmosphere and surface GHG fluxes over Canada and the United States. The regional model uses <span class="inline-formula">10 km×10 km</span> horizontal grid spacing and 80 vertical levels spanning the ground to 0.1&thinsp;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 <span class="inline-formula">CO<sub>2</sub></span> concentration and meteorological forecast quality for multiple seasons in 2015. We find that our regional model has the capability to simulate the high spatial (horizontal and vertical) and temporal scales of atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentrations based on comparisons to surface and aircraft observations. In addition, the bias and standard deviation of forecast error in boreal summer are reduced by the regional model. Better representation of model topography in the regional model results in improved simulation of the <span class="inline-formula">CO<sub>2</sub></span> diurnal cycle compared to the global model at Walnut Grove, California. The new regional model will form the basis of a flux inversion system that estimates regional-scale fluxes of GHGs over Canada.</p>
ISSN:1991-959X
1991-9603