Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type
The Global Environmental Multiscale (GEM) model is the Canadian atmospheric model used for meteorological forecasting at all scales. A limited-area version now also exists. It is a gridpoint model with an implicit semi-Lagrangian iterative space–time integration scheme. In the “horizontal,” the equa...
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Veröffentlicht in: | Monthly weather review 2014-03, Vol.142 (3), p.1183-1196 |
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creator | Girard, Claude Plante, André Desgagné, Michel McTaggart-Cowan, Ron Côté, Jean Charron, Martin Gravel, Sylvie Lee, Vivian Patoine, Alain Qaddouri, Abdessamad Roch, Michel Spacek, Lubos Tanguay, Monique Vaillancourt, Paul A. Zadra, Ayrton |
description | The Global Environmental Multiscale (GEM) model is the Canadian atmospheric model used for meteorological forecasting at all scales. A limited-area version now also exists. It is a gridpoint model with an implicit semi-Lagrangian iterative space–time integration scheme. In the “horizontal,” the equations are written in spherical coordinates with the traditional shallow atmosphere approximations and are discretized on an Arakawa C grid. In the “vertical,” the equations were originally defined using a hydrostatic-pressure coordinate and discretized on a regular (unstaggered) grid, a configuration found to be particularly susceptible to noise. Among the possible alternatives, the Charney–Phillips grid, with its unique characteristics, and, as the vertical coordinate, log-hydrostatic pressure are adopted. In this paper, an attempt is made to justify these two choices on theoretical grounds. The resulting equations and their vertical discretization are described and the solution method of what is forming the new dynamical core of GEM is presented, focusing on these two aspects. |
doi_str_mv | 10.1175/MWR-D-13-00255.1 |
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A limited-area version now also exists. It is a gridpoint model with an implicit semi-Lagrangian iterative space–time integration scheme. In the “horizontal,” the equations are written in spherical coordinates with the traditional shallow atmosphere approximations and are discretized on an Arakawa C grid. In the “vertical,” the equations were originally defined using a hydrostatic-pressure coordinate and discretized on a regular (unstaggered) grid, a configuration found to be particularly susceptible to noise. Among the possible alternatives, the Charney–Phillips grid, with its unique characteristics, and, as the vertical coordinate, log-hydrostatic pressure are adopted. In this paper, an attempt is made to justify these two choices on theoretical grounds. The resulting equations and their vertical discretization are described and the solution method of what is forming the new dynamical core of GEM is presented, focusing on these two aspects.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/MWR-D-13-00255.1</identifier><identifier>CODEN: MWREAB</identifier><language>eng</language><publisher>Washington: American Meteorological Society</publisher><subject>Accuracy ; Approximation ; Atmospheric models ; Discretization ; Hydrostatic pressure ; Iterative methods ; Linear equations ; Mathematical models ; Meteorology ; Modelling ; Noise ; Pressure ; Spherical coordinates ; Time integration ; Variables ; Weather forecasting</subject><ispartof>Monthly weather review, 2014-03, Vol.142 (3), p.1183-1196</ispartof><rights>Copyright American Meteorological Society Mar 2014</rights><rights>Copyright American Meteorological Society 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-ba3ec1e0eb7789c5871aa2c5fcc572b721db9a44a80825463a68b7a23622723f3</citedby><cites>FETCH-LOGICAL-c440t-ba3ec1e0eb7789c5871aa2c5fcc572b721db9a44a80825463a68b7a23622723f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Girard, Claude</creatorcontrib><creatorcontrib>Plante, André</creatorcontrib><creatorcontrib>Desgagné, Michel</creatorcontrib><creatorcontrib>McTaggart-Cowan, Ron</creatorcontrib><creatorcontrib>Côté, Jean</creatorcontrib><creatorcontrib>Charron, Martin</creatorcontrib><creatorcontrib>Gravel, Sylvie</creatorcontrib><creatorcontrib>Lee, Vivian</creatorcontrib><creatorcontrib>Patoine, Alain</creatorcontrib><creatorcontrib>Qaddouri, Abdessamad</creatorcontrib><creatorcontrib>Roch, Michel</creatorcontrib><creatorcontrib>Spacek, Lubos</creatorcontrib><creatorcontrib>Tanguay, Monique</creatorcontrib><creatorcontrib>Vaillancourt, Paul A.</creatorcontrib><creatorcontrib>Zadra, Ayrton</creatorcontrib><title>Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type</title><title>Monthly weather review</title><description>The Global Environmental Multiscale (GEM) model is the Canadian atmospheric model used for meteorological forecasting at all scales. A limited-area version now also exists. It is a gridpoint model with an implicit semi-Lagrangian iterative space–time integration scheme. In the “horizontal,” the equations are written in spherical coordinates with the traditional shallow atmosphere approximations and are discretized on an Arakawa C grid. In the “vertical,” the equations were originally defined using a hydrostatic-pressure coordinate and discretized on a regular (unstaggered) grid, a configuration found to be particularly susceptible to noise. Among the possible alternatives, the Charney–Phillips grid, with its unique characteristics, and, as the vertical coordinate, log-hydrostatic pressure are adopted. In this paper, an attempt is made to justify these two choices on theoretical grounds. The resulting equations and their vertical discretization are described and the solution method of what is forming the new dynamical core of GEM is presented, focusing on these two aspects.</description><subject>Accuracy</subject><subject>Approximation</subject><subject>Atmospheric models</subject><subject>Discretization</subject><subject>Hydrostatic pressure</subject><subject>Iterative methods</subject><subject>Linear equations</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Modelling</subject><subject>Noise</subject><subject>Pressure</subject><subject>Spherical coordinates</subject><subject>Time integration</subject><subject>Variables</subject><subject>Weather 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review</jtitle><date>2014-03-01</date><risdate>2014</risdate><volume>142</volume><issue>3</issue><spage>1183</spage><epage>1196</epage><pages>1183-1196</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><coden>MWREAB</coden><abstract>The Global Environmental Multiscale (GEM) model is the Canadian atmospheric model used for meteorological forecasting at all scales. A limited-area version now also exists. It is a gridpoint model with an implicit semi-Lagrangian iterative space–time integration scheme. In the “horizontal,” the equations are written in spherical coordinates with the traditional shallow atmosphere approximations and are discretized on an Arakawa C grid. In the “vertical,” the equations were originally defined using a hydrostatic-pressure coordinate and discretized on a regular (unstaggered) grid, a configuration found to be particularly susceptible to noise. Among the possible alternatives, the Charney–Phillips grid, with its unique characteristics, and, as the vertical coordinate, log-hydrostatic pressure are adopted. In this paper, an attempt is made to justify these two choices on theoretical grounds. The resulting equations and their vertical discretization are described and the solution method of what is forming the new dynamical core of GEM is presented, focusing on these two aspects.</abstract><cop>Washington</cop><pub>American Meteorological Society</pub><doi>10.1175/MWR-D-13-00255.1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Approximation Atmospheric models Discretization Hydrostatic pressure Iterative methods Linear equations Mathematical models Meteorology Modelling Noise Pressure Spherical coordinates Time integration Variables Weather forecasting |
title | Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type |
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