Modes mode

Available Modes mode

The following modes are implemented in pyCIF so far:

• 4DVAR variational inversions 4dvar/std
• Analytical inversions analytic/std
• Ensemble Square-Root Filter EnSRF/std
• Footprints or backward mode footprint/std
• Forward run forward/std
• Response functions response-functions/std
• Test of the adjoint adj-tl_test/std
• post-proc/std post-proc/std

Documentation

Description

The mode class executes computation modes in pyCIF. This is the highest level class in pyCIF. At the execution of pyCIF, the specified mode is executed and all the rest of the configuration is derived from it.

Required parameters, dependencies and functions

As the highest level class in pyCIF, the mode class is never called by any other pyCIF class. Thus, it only needs the following function to be made available in the module:

execute

The function execute executes the computation mode.

Arguments are:

self:

the mode itself

The function does not need to return objects explicitly. However, it is recommended to make it return an object characterizing the output. For instance, for the test of the adjoint, the function execute returns the error of the test; for the forward mode, it returns the observation vectors with comparison between original observations and simulations.