TrackEddy (Eddy Identification Algorithm)
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Supports Python 2.7 and Python 3 This code will let you identify and track any normal shape in a 2D space. The principal objective of this development is finding and tracking all the eddies in the ocean.
v1.0 Release:
The source code supports the extraction of eddies each time step and moving in vertical coordinate Z.
Installing TrackEddy
- Make a new directory where you want the repository.
- Clone the TrackEddy repository from Github. In the command prompt, type:
git clone https://github.com/Josue-Martinez-Moreno/trackeddy.git - Install the package globally:
pip install -e .This make the package an editable install so that it can be updated with future additions to TrackEddy. To instead install the package locally:pip install --user .
Updating TrackEddy
- Move into your TrackEddy directory.
- Update your GitHub repository.
git pull - Edit your install of TrackEddy.
pip install -e .orpip install --force-reinstall -e .or, for local installation:pip install --ignore-installed --user .
Read more about TrackEddy in
- Martínez-Moreno, J., Hogg, A. McC., Kiss, A. E., Constantinou, N. C., and Morrison, A. K. (2019). Kinetic energy of eddy-like features from sea surface altimetry. Journal of Advances in Modeling Earth Systems, 11(10), 3090-3105. doi:10.1029/2019MS001769
References:
- Faghmous, J. H., Frenger, I., Yao, Y., Warmka, R., Lindell, A., & Kumar, V. (2015). A daily global mesoscale ocean eddy dataset from satellite altimetry. Scientific Data, 2, 150028.
- Chang, Y. L., & Oey, L. Y. (2014). Analysis of STCC eddies using the Okubo–Weiss parameter on model and satellite data. Ocean Dynamics, 64(2), 259-271.
- Chelton, D. B., Schlax, M. G., Samelson, R. M., & de Szoeke, R. A. (2007). Global observations of large oceanic eddies. Geophysical Research Letters, 34(15), L15606.