Usecases / Objectives

• Exploration of existing models:

  The package is supposed to assist in the creation of ‘reports’ in the form of jupyter notebooks. The notebooks will be of the following types:

  • Investigations of a single model (or modelrun).

  • Comparisons between models (modelruns).

• Assistence in the formulation of new models in a step by step process.

  To this end the framework implements some powerfull interactive tools. In this scenario the role of the bgc_md package is to guide the user (= author of a particular notebook concerned with a particular model, and simultaniously author of the source.py of that model) by using the computability graph (as represented by bgc_md/resolve/computers.py) to either

  • show which addidional results can be computed, given the information already present in the models source.py or

  • show which additional information has to be provided in the models source.py to be able to obtain a desired result.