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4daee52276 Ed D*0001 Related Projects and Highlighted Papers
0002 ***************************************
0003
0004
0005 Projects Related to MITgcm
0006 ==========================
0007
0008 Estimating the Circulation and Climate of the Ocean (ECCO)
0009 ----------------------------------------------------------
0010
0011 ECCO is a community of MITgcm users who create and analyze ocean state estimates. ECCO typically optimizes initial conditions, surface forcing fields, and internal parameters to fit a multi-decadal model solution to various data constraints using MITgcm's adjoint capabilities. Unlike other data assimilation products, ECCO solutions are dynamically self-consistent, have closed budgets, and can easily be re-run by users.
0012
0013 websites: https://ecco.jpl.nasa.gov/, http://eccov4.readthedocs.io/en/latest/
0014
0015 Gcmfaces: Gridded Earth Variables In Matlab And Octave
0016 ------------------------------------------------------
0017
0018 The gcmfaces toolbox handles gridded Earth variables as sets of connected arrays. This object-oriented approach allows users to write generic, compact analysis codes that readily become applicable to a wide variety of grids. gcmfaces notably allows for analysis of MITgcm output on any of its familiar grids.
0019
0020 website: http://gcmfaces.readthedocs.io/en/latest/
0021
0022 MITprof: In-Situ Ocean Data In Matlab And Octave
0023 ------------------------------------------------
0024
0025 The MITprof toolbox handles unevenly distributed in-situ ocean observations. It is notably used, along with gcmfaces, to generate input files for MITgcm's profiles package (MITgcm/pkg/profiles).
0026
0027 website: https://github.com/gaelforget/MITprof
0028
0029 OceanParcels - Lagrangian Particle Tracker
0030 ------------------------------------------
0031
0032 Parcels provides a set of Python classses and methods to create customizable particle tracking simulations, focussing on tracking of both passive water parcels as well as active plankton, plastic and fish.
0033
0034 website: http://oceanparcels.org/
0035
0036 Southern Ocean State Estimation (SOSE)
0037 --------------------------------------
0038
0039 SOSE uses the same techniques as ECCO to produce an eddy-permitting state estimate of the Southern Ocean.
0040
0041 website: http://sose.ucsd.edu/
0042
0043 Xgcm: General Circulation Model Postprocessing with xarray
0044 ----------------------------------------------------------
0045
0046 Xgcm is a python packge for working with the datasets produced by numerical General Circulation Models
0047 (GCMs) and similar gridded datasets that are amenable to finite volume analysis. In these datasets, different
0048 variables are located at different positions with respect to a volume or area element (e.g. cell center, cell face,
0049 etc.) xgcm solves the problem of how to interpolate and difference these variables from one position to another.
0050
0051 website: http://xgcm.readthedocs.io/en/latest/
0052
0053
0054 Xmitgcm
0055 -------
0056
0057 Xmitgcm is a Python module that loads MITgcm MDS output files as `xarray <http://xarray.pydata.org/en/stable/>`_ datasets with the associated grid information. These can be easily exported as NetCDF files.
0058
0059 website: http://xmitgcm.readthedocs.io/en/latest/
0060
0061
0062
0063 Highlighted Papers
0064 ==================
0065
