A data pipeline that calculates El Niño Southern Oscillation, Pacific Decadal Oscillation and Indian Ocean Diple sea level indicator values from along track satellite data.
After cloning the repo, you should create a conda environment for the project.
conda env create -f SLI_pipeline/conf/environment.yaml -n sli-pipeline
Copy SLI_pipeline/conf/login.yaml.example and fill in the login credentials.
cp SLI_pipeline/conf/login.yaml.example SLI_pipeline/conf/login.yaml
Make sure ref_files contains the required files. See ref_files/README.md for details.
Define an output directory in SLI_pipeline/conf/global_settings.py, if not using standard output directory.
The pipeline defaults to running every step, but a command line argument can be passed to runt he pipeline via an options menu. This allows you to select which steps of the pipeline to perform.
/opt/anaconda3/envs/sli-pipeline/bin/python SLI_pipeline/run_pipeline.py --options_menu
Indicators can be found at https://sealevel.jpl.nasa.gov