guidov / POP_MOC

Python tools for computing MOC (in depth and/or sigma coordinates)

POP_MOC

Python toolkit for computing MOC streamfunctions (in depth or density coordinates) offline from model velocity field.

Creating environment

conda env update -f envs/environment.yml

Installing MOCutils (used in the jupyter notebooks)

From within the local directory where you've cloned this repo and after activating your environment run

pip install -e . --user

Then when you're using this environment, all the modules in ./MOCutils will be available for you to import