forecast-clarify 0.1.1a0

Local sea surface temperature weekly forecasts based on local statistics (seasonal cycle, week-to-week persistence) and coarse-resolution dynamical forecasts

forecast_clarify

[](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/.

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Project based on the cookiecutter science project template.