[Dart-dev] DART/branches Revision: 12966

dart at ucar.edu dart at ucar.edu
Thu Jan 31 16:57:39 MST 2019


nancy at ucar.edu
2019-01-31 16:57:39 -0700 (Thu, 31 Jan 2019)
80
add the compute_posterior item to the default namelist
and add it to the docs.




Modified: DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.html
===================================================================
--- DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.html	2019-01-31 23:48:23 UTC (rev 12965)
+++ DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.html	2019-01-31 23:57:39 UTC (rev 12966)
@@ -98,6 +98,7 @@
    output_mean                  = .true.,
    output_sd                    = .true.,
    write_all_stages_at_end      = .false.,
+   compute_posterior            = .true.
 
    ens_size                     = 20,
    num_groups                   = 1,
@@ -292,6 +293,14 @@
         runtime, but can lower the cost of the job significantly in some cases.
  </TD></TR>
 
+<TR><TD>compute_posterior</TD>
+    <TD>logical</TD>
+    <TD>If .false., skip computing posterior forward operators and do not write
+        posterior values in the obs_seq.final file.  Saves time and memory.
+        Cannot enable posterior inflation and skip computing the posteriors.
+        For backwards compatibility the default for this is .true.
+ </TD></TR>
+
 <TR><TD>ens_size</TD>
     <TD>integer</TD>
     <TD>Size of ensemble.

Modified: DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.nml
===================================================================
--- DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.nml	2019-01-31 23:48:23 UTC (rev 12965)
+++ DART/branches/recam/assimilation_code/modules/assimilation/filter_mod.nml	2019-01-31 23:57:39 UTC (rev 12966)
@@ -18,6 +18,7 @@
    output_mean                  = .true.
    output_sd                    = .true.
    write_all_stages_at_end      = .false.
+   compute_posterior            = .true.
 
    ens_size                     = 20,
    num_groups                   = 1,


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