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CM2c is a ~3-degree resolution version of GFDL's coupled climate model (CM2, typically run with a 2-degree atmosphere and a 1-degree ocean). It uses the same code as CM2, with slight alterations to some parameters as required to adjust to the coarser discretization. The CM2 model is now running with the MOM5 ocean model. The code is therefore the same as ESM2M, but using a simple land model (LAD2) without dynamic vegetation.
CM2Mc
Although the CM2 code includes an isopycnal ocean model, the coarse resolution model has currently been developed only for the level-coordinate model. This is referred to as CM2Mc. On the GFDL computer, it requires approximately 1/10 the processor time of the standard resolution model. Because the atmospheric simulation is quite similar to that used in the standard model, the large-scale climate simulation is also very similar.
=News=
January, 2019
Science has been happening! And this website has not been maintained in a long while - so, although you may find useful information here, you may also find broken links and outdated information. For a higher probability of new information and/or functional links, see here.
June, 2013
The Siena code version is now running on multiple clusters, using both Rick Slater's code and the GFDL standard code, including MOM5. This new version fixes a very important bug in the simulation, in which the Lee tidal mixing caused excessive vertical mixing in the deep ocean. There are no additional known bugs at this point, and the code is pretty much frozen - so, great for doing science!
August, 2011
The documentation paper for CM2Mc is now available! See attachment below.
March, 2011
Rick Slater (Princeton University) has ported the latest version of the model code (Riga) to four clusters. This required some finessing of the compile scripts, but results to date appear good.
Model documentation
Simulations in the following pages were made with the pre-Riga code.
Atmosphere configuration (m30-fv-lm2)
Ocean configuration (om1p7-mom4p1)
CM2Mc preindustrial control run
For more information, contact Eric Galbraith at McGill University, eric.galbraith@mcgill.ca.