Changes between Version 1 and Version 2 of likelihood_l_pdaf


Ignore:
Timestamp:
Mar 6, 2018, 4:53:09 PM (3 years ago)
Author:
lnerger
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • likelihood_l_pdaf

    v1 v2  
    55The routine `likelihood_l_pdaf` (called `U_likelihood_l` inside the PDAF core routines) is a call-back routine that has to be provided by the user.
    66The routine is used in the localized nonlinear filter LNETF and has to compute the likelihood of the observation for a given ensemble member according to the observations used for the local analysis.
    7 The likelihood depends on the assumed observation error distribution. For a Gaussian observation error, the likelihood is '''exp(-0.5*(y-Hx)^T^*R^-1^*(y-Hx))''' for the local observations. The vector '''y-HX =''' `resid_l` is proved as an input argument. The likelihood has to be returned in the variable `likely_l`.
     7The likelihood depends on the assumed observation error distribution. For a Gaussian observation error, the likelihood is '''exp(-0.5*(y-Hx)^T^*R^-1^*(y-Hx))''' for the local observations. The vector '''y-HX =''' `resid_l` is provided as an input argument. The likelihood has to be returned in the variable `likely_l`.
    88
    99This routine is also the place to perform observation localization. To initialize a vector of weights, the routine `PDAF_local_weight` can be called. The procedure is used in the example implementation and also demonstrated in the template routine.