3. Getting started with MITgcm

In this section, we describe how to use the model. In the first section, we provide enough information to help you get started with the model. We believe the best way to familiarize yourself with the model is to run the case study examples provided with the base version. Information on how to obtain, compile, and run the code is found there as well as a brief description of the model structure directory and the case study examples. The latter and the code structure are described more fully in chapters 2 and 4, respectively. Here, in this section, we provide information on how to customize the code when you are ready to try implementing the configuration you have in mind.

• 3.1 Where to find information
• 3.2 Obtaining the code
  • 3.2.1 Method 1 - Checkout from CVS
  • 3.2.2 Method 2 - Tar file download
  
  
• 3.3 Model and directory structure
• 3.4 MITgcm Example Experiments
  • 3.4.1 Full list of model examples
  • 3.4.2 Directory structure of model examples
  
  
• 3.5 Building MITgcm
• 3.6 Running MITgcm
  • 3.6.1 Output files
  • 3.6.2 Looking at the output
  
  
• 3.7 Tutorials
• 3.8 Barotropic Gyre MITgcm Example
  • 3.8.1 Equations Solved
  • 3.8.2 Discrete Numerical Configuration
  • 3.8.3 Code Configuration
  
  
• 3.9 Baroclinic Gyre MITgcm Example
  • 3.9.1 Overview
  • 3.9.2 Equations solved
  • 3.9.3 Discrete Numerical Configuration
  • 3.9.4 Code Configuration
  • 3.9.5 Running The Example
  
  
• 3.10 Global Ocean MITgcm Exmaple
  • 3.10.1 Overview
  • 3.10.2 Discrete Numerical Configuration
  • 3.10.3 Experiment Configuration
  
  
• 3.11 P coordinate Global Ocean MITgcm Example
  • 3.11.1 Overview
  • 3.11.2 Discrete Numerical Configuration
  • 3.11.3 Experiment Configuration
  
  
• 3.12 Held-Suarez Atmosphere MITgcm Example
  • 3.12.1 Overview
  • 3.12.2 Discrete Numerical Configuration
  • 3.12.3 Experiment Configuration
  
  
• 3.13 Surface Driven Convection
  • 3.13.1 Overview
  • 3.13.2 Equations solved
  • 3.13.3 Discrete numerical configuration
  • 3.13.4 Numerical stability criteria and other considerations
  • 3.13.5 Experiment configuration
  • 3.13.6 Running the example
  
  
• 3.14 Gravity Plume On a Continental Slope
  • 3.14.1 Configuration
  • 3.14.2 Binary input data
  • 3.14.3 Code configuration
  • 3.14.4 Model parameters
  • 3.14.5 Build and run the model
  
  
• 3.15 Centennial Time Scale Tracer Injection
  • 3.15.1 Introduction
  • 3.15.2 Overview
  • 3.15.3 Discrete Numerical Configuration
  • 3.15.4 Code Configuration
  
  
• 3.16 Customizing MITgcm
  • 3.16.1 Building/compiling the code elsewhere
  • 3.16.2 Using genmake2
  • 3.16.3 Building with MPI
  • 3.16.4 Configuration and setup
  • 3.16.5 Computational domain, geometry and time-discretization
  • 3.16.6 Equation of state
  • 3.16.7 Momentum equations
  • 3.16.8 Tracer equations
  • 3.16.9 Simulation controls
  
  
• 3.17 Testing
  • 3.17.1 Using testreport
  • 3.17.2 Automated testing

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