Python Ocean Model 2.0 (pyOM2)
Contents
Introduction
pyOM2 is a simple and easy to use numerical circulation ocean model to configure and to integrate idealized and realistic configurations.
Features are:
* Cartesian or pseudo-spherical coordinate systems
* Non-hydrostatic configurations
* several energetically consistent parameterisations
* Fortran and Python front end
* Graphical User Interface
Fortran and Python version are based on the identical Fortran90 code which is fully parallelized based on the MPI-library to enhance performance. Several idealized and realistics experiments and examples are preconfigured and can be easily chosen and modified using two alternative configuration methods based on Fortran90 or Python.
Resources
Source code as tar ball
- pyOM2 installed on lightweight Debian system as Virtual box client
Prerequisites and Installation
Prerequisites for the Fortran front are Fortran 90 compiler, Lapack and NetCDF library
Prerequisites for the Python front end is Python and the module Numpy, several other modules can be used to provide a graphical user interface, Netcdf IO, etc
For installation details refer to the Documentation
Idealized configurations
* Vertical shear instability in a non-hydrostatic configuration
* Holmboe instability in a non-hydrostatic configuration
* Internal gravity wave beams in a non-hydrostatic configuration
* Rayleigh-Bernard convection in a non-hydrostatic configuration
* eddy-driven zonal jets in a wide hydrostatic channel configuration
* the classical Eady problem in a narrow hydrostatic channel configuration
* another Eady setup with linear stability analysis configuration
* small closed basin with wind-driven channel configuration
* large closed basin and hydrostatic channel configuration
Realistic configurations
* 4x4 deg global ocean model
* 4x4 deg global ocean with 45 levels model
* 2x2 deg global ocean model
* 1x1 deg global ocean model
* 4/3 x 4/3 deg North Atlantic regional model
* 1/3 x 1/3 deg North Atlantic regional model
* 1/12 x 1/12 deg North Atlantic regional model