pyPDAF.PDAF.omi_init_obserr_f_cb¶
- pyPDAF.PDAF.omi_init_obserr_f_cb()¶
This is an internal PDAF-OMI function that is used as a call-back function to construct a full observation error covariance matrix used only in stochastic EnKF. This could be used to modify the observation variance when OMI is used with pyPDAF.PDAF.assimilate_xxx instead of pyPDAF.PDAF.omi_assimilate_xxx.
- Parameters:
step (int) – Current time step
dim_obs_f (int) – Full dimension of observation vector
obs_f (ndarray[tuple[dim_obs_f], np.float64]) –
Full observation vector
The array dimension dim_obs_f is Full dimension of observation vector
obserr_f (ndarray[tuple[dim_obs_f], np.float64]) –
Full observation error stddev
The array dimension dim_obs_f is Full dimension of observation vector
- Returns:
obserr_f – Full observation error stddev
The array dimension dim_obs_f is Full dimension of observation vector
- Return type:
ndarray[tuple[dim_obs_f], np.float64]