Welcome to the ECCO Version 4 Tutorial¶
This website contains a set of tutorials about how to use the ECCO Central Production Version 4 (ECCO v4) global ocean and sea-ice state estimate. The tutorials were written in Python and make use of the ecco_v4_py Python library, a library written specifically for loading, plotting, and analyzing ECCO v4 state estimate fields.
The ECCO v4 state estimate is the output of a free-running simulation of a global ca. 1-degree configuration of the MITgcm. Prior to public release, the model output files model are assembled into NetCDF files. If you would like to work directly with the flat binary “MDS” files provided by the model then take a look at the xmitgcm Python package. The xgcm Python package provides tools for operating on model output fields loaded with xmitgcm. If you wish to analyze the MITgcm model output using Matlab then we strongly recommend the extensive set of tools provided by the gcmfaces toolbox.
- The Dataset and DataArray objects used in the ECCOv4 Python package.
- Coordinates and Dimensions of ECCOv4 NetCDF files
- Loading ECCOv4 native-grid state estimate fields from NetCDF
- Combining multiple
- Accessing and Subsetting Variables
- Operating on Numpy arrays
- Plotting Tiles
- Compute meridional heat transport
- Load the diagnostic output
- Grab latitude band: 26N array as an example
- Select the Atlantic ocean basin for RAPID-MOCHA MHT
- MHT at the approximate RAPID array latitude
- Now compare global and Atlantic MHT at many latitudes
- MHT as a function of depth
- Exercise: reproduce figure from (Ganachaud and Wunsch, 2000)
- Compute MOC along the approximate OSNAP array from ECCO
- Vector calculus in ECCO: The Transport, divergence, vorticity and the Barotropic Vorticity Budget
- ECCOv4 budgets