Metadata-Version: 2.1
Name: inline-model-metrics
Version: 0.1.0
Summary: inline_model_metrics is a package to to run model metrics inline with a climate model.
Home-page: https://github.com/MetOffice/inline_model_metrics
Download-URL: https://github.com/MetOffice/inline_model_metrics/releases
Author: Met Office
Author-email: jon.seddon@metoffice.gov.uk
License: BSD 3-Clause License
Keywords: climate,tracking,inline
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# inline_model_metrics
A Met Office tenten project Rose app to run model metrics inline with a climate model.

Documentation is temporarily available from: https://metoffice.github.io/inline_model_metrics/

The code consists of a preprocessor (currently specific to the UM output) which takes the input data from a source (model, reanalysis etc) and produces variables and filename suitable for use by the inline codes. 

There are initially two components of the inline tracking, tempest_cyclone and tempest_atmos_river. Tempest_cyclone uses the cyclone-tracking capability of TempestExtremes, which tempest_atmos_river uses TempestExtremes to track atmospheric rivers.

Other inline metrics code can be included here, will required changes to the pre-processing to provide the required input files/variables.

Currently the code saves and archives tracked output to the Met Office MASS storage. This needs to be split out into a postprocessor code to be more generic.


