Changes between Version 4 and Version 5 of PDAF_diag_stddev_nompi

Timestamp:

Mar 26, 2025, 2:13:46 PM (6 days ago)

Author:

lnerger

Comment:

--

PDAF_diag_stddev_nompi

@@ -3 +3 @@
 This page documents the routine `PDAF_diag_stddev_nompi` of PDAF, which was introduced with PDAF V3.0.
 
-This routine computes mean ensemble standard deviation.
+This routine computes mean ensemble standard deviation as the square root of the spatial mean variance.
 
-The routine can be called in the pre/poststep routine of PDAF both before and after the analysis step to compute the ensemble statistics. This variant only compute the standard deviation for the provided ensemble array `ens`. Thus, with a domain-decomposed parallel model, the value of of the standard deviation doe snot consider the full domain. The variant taking into account parallelization is [wiki:PDAF_diag_stddev].
+The routine can be called in the pre/poststep routine of PDAF both before and after the analysis step to compute the ensemble statistics. 
+
+This variant only computes the standard deviation for the provided ensemble array `ens`. Thus, with a domain-decomposed parallel model, the value of of the standard deviation does not consider the full domain. The variant taking into account parallelization is [wiki:PDAF_diag_stddev].
 
 The interface is the following: 
@@ -11 +13 @@
 SUBROUTINE PDAF_diag_stddev_nompi(dim, dim_ens, &
      state, ens, stddev, do_mean, status)
-}}}
-with the following arguments:
-{{{
+
   INTEGER, INTENT(in) :: dim               !< state dimension
   INTEGER, INTENT(in) :: dim_ens           !< Ensemble size
@@ -26 +26 @@
  * The ensemble standard deviation is a common measure of the estimate model root mean square error. It is typically computed in `prepoststep_pdaf` to monitor the assimilation process.
  * We recommend to use this routine only in cases where the MPI parallelization is not initialized, e.g. in separate post-analysis programs. In assimilation programs, where the parallelization is initialized for PDAF, we recommend to use the routine [wiki:PDAF_diag_stddev] for better overall compatibility.
- * The option `do_mean` exists mainly for performance reasons. If `state_p` contains is ensmeble mean state it does not need to be computed again.
+ * The option `do_mean` exists mainly for performance reasons. If `state_p` contains is ensemble mean state it does not need to be computed again.
+ * The routine does not perform any MPI operations and can also be used if PDAF was not initialized by calling `PDAF_init`.