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A library to detect fronts using an heterogeneity index

Project description

Heterogeneity-Index

Python library to compute the Heterogeneity Index from SST, as defined in Haëck et al. (2023) and Liu & Levine (2016), and some associated diagnostics (front detection for instance).

Documentation: https://biofronts.pages.in2p3.fr/heterogeneity-index

Installation

git clone https://gitlab.in2p3.fr/biofronts/heterogeneity-index
cd heterogeneity-index
pip install .

Will be available on PyPI.

Requirements

  • Python >= 3.10
  • Numpy >= 1.24
  • Numba >= 0.57

Optional:

  • Xarray
  • Dask

References

  • Haëck, C., Lévy, M., Mangolte, I., and Bopp, L.: “Satellite data reveal earlier and stronger phytoplankton blooms over fronts in the Gulf Stream region”, Biogeosciences 20, 1741–1758, https://doi.org/10.5194/bg-20-1741-2023, 2023.
  • Liu, X. and Levine, N. M.: “Enhancement of phytoplankton chlorophyll by submesoscale frontal dynamics in the North Pacific Subtropical Gyre”, Geophys. Res. Lett. 43, 1651–1659, https://doi.org/10.1002/2015gl066996, 2016.

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