semvec/pypi-packages huggingface dataset:
forecast-clarify 0.1.1
Local sea surface temperature weekly forecasts based on local statistics (seasonal cycle, week-to-week persistence) and coarse-resolution dynamical forecasts
License: MIT
Requires Python: >=3.6

forecast_clarify
==============================
[![Build Status](https://github.com/olewu/forecast_clarify/workflows/Tests/badge.svg)](https://github.com/olewu/forecast_clarify/actions)
[![codecov](https://codecov.io/gh/olewu/forecast_clarify/branch/main/graph/badge.svg)](https://codecov.io/gh/olewu/forecast_clarify)
[![License:MIT](https://img.shields.io/badge/License-MIT-lightgray.svg?style=flt-square)](https://opensource.org/licenses/MIT)[![pypi](https://img.shields.io/pypi/v/forecast_clarify.svg)](https://pypi.org/project/forecast_clarify)
<!-- [![conda-forge](https://img.shields.io/conda/dn/conda-forge/forecast_clarify?label=conda-forge)](https://anaconda.org/conda-forge/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).

Forecasts can be created for all [BarentsWatch Sites](https://www.barentswatch.no/). Model parameters at these sights are derived from the closest grid points in the high-resolution ocean model ROMS, run in the NorKyst800 set-up (described in [Asplin et al., 2020](https://link.springer.com/article/10.1007/s10236-020-01378-0)).

--------

<p><small>Project based on the <a target="_blank" href="https://github.com/jbusecke/cookiecutter-science-project">cookiecutter science project template</a>.</small></p>