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Automated eddy detection

Eric Oliver

Code for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.

Code Description

File Description
eddy_detection.py Code for the detection of eddies given a series of sea level maps
eddy_tracking.py Code for the tracking of eddies after detection has been performed
params.py Parameter file used by eddy detection and eddy tracking programs
find_T.py Added by Chris, support file for params.py for NEMO output to calculate how many timesteps in an experiment
eddy_census.py Code for calculating census statistics of tracked eddies
eddy_plot.py Code for plotting eddy tracks
eddy_functions.py Module of supporting functions
eddytrackwrap.py eddy_detection.py and eddy_tracking.py can now be run from a single interface via the command line. This does not run the plotting scripts. This is so the eddy tracking can be run on many NEMO experiments. Be aware that if you additional steps, e.g. eddy_tracking_two.py then you'll need to look at the import experiments steps in eddy_detection and eddy_tracking.
experiments.py Added by Chris, pertinent experiment information, separated from params as it may be modified by eddytrackwrap.py

Notes

  1. This code as been applied to model output from OFAM and from weekly and daily sea level maps from Aviso. To apply it to another dataset it is necessary to make the following adjustments:

a. Add a new dataset id 'NAME' in the conditionals in params.py, including relevant parameters (number of time steps, resolution, time step).

b. Add appropriate code in 'load_lonlat' and 'load_eta' functions (both in eddy_functions.py) to properly handle the loading of your data. Code assumes one file (spatial map) per time step.

  1. rosrad.dat obtained from here. Specifically:
wget http://www-po.coas.oregonstate.edu/research/po/research/rossby_radius/rossrad.dat

Changes added by Christopher Bull (Dec 2015)

Modified to work with NEMO. Made some general changes including:

  1. Works with python netCDF4 library.
  2. Refactored so global data and plot dirs are defined in params.py (and created if they don't exist)
  3. Refactored so that pathroot for input data can be defined in params rather than eddy_functions.
  4. Added quick_plot and detection_plot functions to eddy_function.py
  5. Added functions from ecoliver (that were not previously included) into eddy_functions.py
  6. Added rossrad.dat (and details on where it came from).
  7. Added eddytrackwrap.py so that eddy_detection.py and eddy_tracking.py can be run from a single interface via the command line (passing interface added). This does not run the plotting scripts. This is so the eddy tracking can be run on many NEMO experiments. Note the less than ideal way variables from experiments.py are modified.

Despite the new eddytrackwrap workflow, the scripts should still be able to run as ECJ described (notes above).

Contact

Eric C. J. Oliver
Institute for Marine and Antarctic Studies
University of Tasmania
Hobart TAS, Australia e: [email protected]
w: http://passage.phys.ocean.dal.ca/~olivere
https://github.com/ecjoliver

Christopher Bull.
Climate Change Research Centre and ARC Centre of Excellence for Climate System Science. University of New South Wales
Sydney, NSW, Australia, 2052
e: [email protected]
w: christopherbull.com.au github.com/chrisb13

t: @ChrisBullOceanO