# submeso-color

Collocate submesoscale fronts to phytoplankton levels using satellite imagery

## Content

- Download: Scripts for downloading data
- lib: Reusable code. Scripts for defining databases
- Compute: Process data, compute diagnostics,... 
- Plots: Plotting scripts

## Setup

The environment variable `$SUBMESO_COLOR_CODE_DIR` must be defined and point to
this repository location.
Bash scripts will source the `setup_env.sh` file in it, which defines other necessary
variables, notably `$SUBMESO_COLOR_DATA_DIR` for the location of data and plots.
It also appends this repository to the `$PYTHONPATH` variable.
The organisation of `setup_env.sh` is left to the user.
An example is given which works on a personnal computer and on the [Ciclad](https://mesocentre.ipsl.fr/) cluster.


## Requirements

    python3.8
        -numpy
        -scipy
        -pandas
        -xarray
        -dask
        -matplotlib
        -netcdf4
        -motuclient
        -cftime
        -shapely
        -global-land-mask
        -filefinder
    
- [dateloop](https://github.com/Descanonge/dateloop)
    
A conda environment file is provided ([./env.yml](./env.yml))