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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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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spelling doaj-72f86bd2154844f0af96417c28ca64782020-11-25T01:52:01ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-01-011326929510.5194/gmd-13-269-2020The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-regJ. KimS. M. PolavarapuD. ChanM. Neish<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>https://www.geosci-model-dev.net/13/269/2020/gmd-13-269-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Kim
S. M. Polavarapu
D. Chan
M. Neish
spellingShingle J. Kim
S. M. Polavarapu
D. Chan
M. Neish
The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
Geoscientific Model Development
author_facet J. Kim
S. M. Polavarapu
D. Chan
M. Neish
author_sort J. Kim
title The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
title_short The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
title_full The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
title_fullStr The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
title_full_unstemmed The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
title_sort canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: gem–mach–ghg v.137-reg
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2020-01-01
description <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>
url https://www.geosci-model-dev.net/13/269/2020/gmd-13-269-2020.pdf
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