Changes between Version 3 and Version 4 of WhichFiltertouse

Timestamp:

Feb 29, 2012, 9:49:40 PM (13 years ago)

Author:

lnerger

Comment:

--

WhichFiltertouse

@@ -1 @@
-= Recommendation on Choice of Filter Algorithm = 
+= Recommendations on the Choice of Filter Algorithm = 
 
 PDAF provides several filter algorithms. Here, we provide some guidance about which filter algorithm one should use. 
@@ -9 +9 @@
 The choice whether a global filter like ESTKF or a local formulation as LESTKF is used depends on the problem that is simulated. If the model represents large scale features, the global filter should be a good choice. If the model fields represent many small scale features, the local filter is required. Also the availability of observations influences that choice. If only a very small number of observations is available, it might be better to use the global filter. In contrast, spatially resolved observations, like surface temperature fields of the ocean detected by satellites, call for the local filter.
 
-To use the global ESTKF with minimum transformation one has to specify (following the naming of variables used in the example in `/testsuite/src/dummymodel_1D/`
-|| '''parameter''' || '''value''' ||
-|| filtertype || 6 ||
+To use the global ESTKF with minimum transformation one has to specify (following the naming of variables used in the example in `/testsuite/src/dummymodel_1D/`):
+|| '''parameter''' || '''value''' || '''comment''' ||
+|| `filtertype` || 6 || Selecting ESTKF ||
+|| `type_sqrt` || 0 || This specifies the SVD-based symmetric square root ||
+|| `type_trans` || 0 || This specifies the deterministic ensemble transformation ||
+
+For the global ESTKF with random transformation and cholesky decompostion one specifies:
+|| '''parameter''' || '''value''' || '''comment''' ||
+|| `filtertype` || 6 || Selecting ESTKF ||
+|| `type_sqrt` || 1 || This specifies the Cholesky square root ||
+|| `type_trans` || 1 || This specifies the random transformation ||
+