pyPDAF.PDAF.omi_set_inno_omit

pyPDAF.PDAF.omi_set_inno_omit()

This function sets the inno_omit attribute of obs_f typically used in user-supplied function py__init_dim_obs_pdaf. Setting this variable to a value > 0.0 activates the functionality that observations are omitted (made irrelevant) from the analysis update if the difference of their value and the ensemble mean to too large. If inno_omit=2.0, an observation would be omitted if the squared difference between the observed ensemble mean state and the observation value is larger than 2 times the observation error variance See https://pdaf.awi.de/trac/wiki/PDAFomi_additional_functionality#Omittingobservationsthatarepotentialoutliers

Parameters:

• i_obs (int) – index of observations

• inno_omit (float) – Threshold of innovation to be omitted