Local sea surface temperature weekly forecasts based on local statistics (seasonal cycle, week-to-week persistence) and coarse-resolution dynamical forecasts
Project description
forecast_clarify
[![Documentation Status](https://readthedocs.org/projects/forecast_clarify/badge/?version=latest)](https://forecast_clarify.readthedocs.io/en/latest/?badge=latest)Local water temperature (3m) weekly forecasts based on local statistics (seasonal cycle, week-to-week persistence) from NorKyst800 (2006 - 2022).
To install, initialize an environment with python (tested with 3.10.0 and 3.10.4 but expect other version of python3 to work).
Install the minimal requirements using
pip install -r requirements_minimal.txt
then install the package functionality from the project root folder (where this README is located) using
pip install -e .
This should enable you to run /notebooks/010_test_load.ipynb
. The notebook will access functionality in /forecast_clarify/clarify_persistence_package.py
, which in turn needs /forecast_clarify/main.py
and /forecast_clarify/config.py
as well as the model parameter files saved in /data/processed/
.
Project based on the cookiecutter science project template.
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