CSIM4 (Community Sea Ice Model version 4)

The Community Sea Ice Model, version 4.0.1 (CSIM4.0.1), was released on August 30, 2002, as part of the CCSM 2.0.1 release.

CommunitySea IceCCSM

Contributor(s)

Initial contribute: 2021-02-26

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Classification(s)

Application-focused categoriesNatural-perspectiveFrozen regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: https://www.cesm.ucar.edu/models/ccsm2.0.1/csim/ 

DOCUMENTATION

  • User Documents: User's Guide [html] [pdf]
  • Code Reference Guide [html] [pdf]
  • Scientific Description [pdf] [ps]

WHAT IS CSIM4??

CSIM4 is the sea ice component of CCSM2 that includes an elastic-viscous-plastic (EVP) dynamics scheme, an ice thickness distribution, energy-conserving thermodynamics, a slab ocean mixed layer model, and the ability to run using prescribed ice concentrations. It is supported on high and low-resolution Greenland Pole grids, which are identical to those used by the Parallel Ocean Program (POP) ocean model. The high resolution version is best suited for simulating present-day and future climate scenarios while the low resolution option is used for paleoclimate simulations.

WHAT'S NEW IN CSIM4.0.1?

Changes made to CCSM2.0 were limited so that the CCSM2.0.1 release would give bit-for-bit answers with CCSM2.0 when using all active models on the T42_gx1v3 grid. No changes have been made to the model physics of any component in CCSM2.0.1. New to CCSM2.0.1 is a paleoclimate configuration that runs on the T31_gx3v4 (coarse resolution) grid. The ice and snow albedos in this configuration have been reduced by 10% in the northern hemisphere from the values normally used in the sea ice model. CCSM2.0.1 also includes new forcing datasets for the data models. The sea ice concentration dataset is used by the prescribed ice model. A list of updates from CCSM2.0 made in other components can be found here.

模型元数据

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CSIM4 team (2021). CSIM4 (Community Sea Ice Model version 4), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/079f338a-2922-4607-b25a-d12e7ee3086f
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Contributor(s)

Initial contribute : 2021-02-26

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Authorship

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NCAR
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