Changes between Version 8 and Version 9 of ImplementAnalysislknetf

Timestamp:

Sep 9, 2024, 2:25:54 PM (2 months ago)

Author:

lnerger

Comment:

--

ImplementAnalysislknetf

@@ -299 +299 @@
 
 Hints:
- * This routine is a simple extension of `prodRinvA_l. One can implement the hybrid variant by copying this routine and adapting it. `gamma` is computed inside PDAF and provided to the routine. 
+ * This routine is a simple extension of `prodRinvA_l`. One can implement the hybrid variant by copying this routine and adapting it. `gamma` is computed inside PDAF and provided to the routine. 
 
 
@@ -524 +524 @@
 }}}
 
-This routine is a variant for `U_likelihood_l`. See the description of this routine for its functionality.  The 
-The routine is called during the loop over the local analysis domains. The likelihood of the local observations has to be computed for each ensemble member. The likelihood is computed from the observation-state residual according to the assumed observation error distribution. Commonly, the observation errors are assumed to be Gaussian distributed. In this case, the likelihood is '''exp(-0.5*(y-Hx)^T^*R^-1^*(y-Hx))'''.
+This routine is a variant for `U_likelihood_l`. See the description of this routine for its functionality. The routine is called during the loop over the local analysis domains. The likelihood of the local observations has to be computed for each ensemble member. The likelihood is computed from the observation-state residual according to the assumed observation error distribution. Commonly, the observation errors are assumed to be Gaussian distributed. In this case, the likelihood is '''exp(-0.5*(y-Hx)^T^*R^-1^*(y-Hx))'''.
 
 This 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.