Parent issue for variability support

[willu47]

Goal

We want to propagate an ensemble of e.g. weather scenarios through a system-of-systems model to assess the resilience of the system-of-systems

Ideally, this could be available to the user at the command-line, with the subcommand smif prepare and arguments [modelrun_template] [scenario_name] [variant range], or perhaps some useful helpers for specifying a range of scenario variant names like --start weather_001 --end weather_100

Related goal

We want to perform a global sensitivity analysis, and have generated a sample of input data we wish to propagate through the system-of-systems to assess sensitivity of one or more model outputs to the inputs.

Core functionality

• Write a script which generates one scenario variant for each replicate in the ensemble Write a script which generates one scenario variant for each replicate in the ensemble dataset #362
• Write a script which generates one model run for each scenario variant in the ensemble Autogenerate a batch of model runs, one for each ensemble realisation #363
• Perform the batch model run Feature/batch run #179
• Obtain and collate results (extension of Parent issue for results API #350)
• Add command line argument (Add smif prepare command line argument for variability #364)

Alternatively, the steps could be:

• Add the ensemble as a dimension within a smif scenario
• Autogenerate a batch of model runs, one for each ensemble realisation
• perform batch model run
• obtain and collate results

[tlestang]

Issues #362 , #363 and #364 have been addressed within branch variability.
Scripts addressing issues #362 and #363 can be found in

• src/smif/sample_project/write_scenario_variants.py (Write a script which generates one scenario variant for each replicate in the ensemble dataset #362)

• src/smif/sample_project/write_variant_model_runs_from_template.py (Autogenerate a batch of model runs, one for each ensemble realisation #363)

Currently those scripts are merely drafts for two functions with the same names in cli/__init__.py, which the smif prepare command actually invoke (see comment in #364)

Note - For the purpose of testing, I slightly modified the energy_central model run definition, adding the weather_at_home scenario.