Forward run (forward / std)

Description

This mode simply runs the observation operator in forward mode (including the transport model and all auxiliary operations). Depending on how the model and the system is set up, it will compute observation equivalent and/or save all the 4d concentration fields.

Yaml arguments

The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:

Optional arguments

perturb_obsvect: (optional): False

If True, perturbs the output observation vector to generate truth in OSSEs. The formula used for the perturbations is \(\delta y \sim \mathcal{N}(0, \sigma_\epsilon)\), with \(\sigma_\epsilon = \sigma_\mathbf{y} \;.\; \delta\); \(\delta\) is the value specified in ${obserror}. Perturbed simulations are saved in the obs column of the output monitor.nc file; \(\sigma_\mathbf{y} \;.\; \delta\)

accepted type: <class ‘bool’>

obserror: (optional): 0.0

The scale used to generate perturbation on the errors.

accepted type: <class ‘float’>

reload_results: (optional): False

Reload results from previous simulations. If True does not recomputed already computed simulations

accepted type: <class ‘bool’>

Requirements

The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version

controlvect

ControlVect

True

True

standard

std

obsoperator

ObsOperator

True

False

standard

std

Yaml template

Please find below a template for a Yaml configuration:

 1mode:
 2  plugin:
 3    name: forward
 4    version: std
 5    type: mode
 6
 7
 8  # Optional arguments
 9  perturb_obsvect: XXXXX
10  obserror: XXXXX
11  reload_results: XXXXX