Metadata-Version: 2.4
Name: oceanval
Version: 0.1.0
Summary: A Python package for ocean model validation and analysis
Home-page: https://github.com/pmlmodelling/oceanVal
Author: Robert Wilson
Author-email: rwi@pml.ac.uk
Maintainer: Robert Wilson
Project-URL: Bug Tracker, https://github.com/pmlmodelling/oceanVal/issues
Project-URL: Source Code, https://github.com/pmlmodelling/oceanVal
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6.1
Requires-Dist: xarray
Requires-Dist: netCDF4
Requires-Dist: hvplot
Requires-Dist: panel
Requires-Dist: pandas
Requires-Dist: ncplot
Requires-Dist: dill
Requires-Dist: python-dateutil
Requires-Dist: matplotlib
Requires-Dist: jupytext
Requires-Dist: nctoolkit>=1.1.1
Requires-Dist: jellyfish
Requires-Dist: geopandas
Requires-Dist: holoviews
Requires-Dist: plotnine
Requires-Dist: jupyter-book==1.0.4
Requires-Dist: seawater
Requires-Dist: cmocean
Requires-Dist: numpydoc
Requires-Dist: sphinx_rtd_theme
Requires-Dist: nbsphinx
Requires-Dist: molmass
Requires-Dist: fiona
Provides-Extra: complete
Requires-Dist: geoviews; extra == "complete"
Requires-Dist: rioxarray; extra == "complete"
Requires-Dist: cfchecker; extra == "complete"
Requires-Dist: geocube; extra == "complete"
Requires-Dist: geopandas; extra == "complete"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: maintainer
Dynamic: project-url
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary



**oceanVal** is a Python package designed to automate the process of validating ocean models against observational datasets. It provides a suite of tools to facilitate the comparison of model outputs with various observational data sources, enabling researchers to assess model performance effectively. 

Core abilities of oceanVal include:

  - Matching model output variables to observational datasets 
  - Assesing spatial and temporal performance of ocean models 
  - Assessing model skill using a variety of statistical metrics 
  - Asssessing extent of model biases 
  - Generating comprehensive validation reports in html format


