Changes between Version 26 and Version 27 of AddFilterAlgorithm

Timestamp:

Dec 20, 2011, 4:28:48 PM (13 years ago)

Author:

lnerger

Comment:

--

AddFilterAlgorithm

@@ -3 +3 @@
 [[PageOutline(2-3,Contents of this page)]]
 
-This text describes the implementation strategy and internal structure of PDAF valid for version 1.7.0 and later. If you use an earlier version of PDAF, we recommend to update to the most recent version. In this text, we assume that the reader is already familiar with PDAF to the extend of experience with the implementation of a model with PDAF that is described in the [ImplementationGuide Implementation Guide].
+This text describes the implementation strategy and internal structure of PDAF valid for version 1.8.0 and later. If you use an earlier version of PDAF, we recommend to update to the most recent version. In this text, we assume that the reader is already familiar with PDAF to the extend of experience with the implementation of a model with PDAF that is described in the [ImplementationGuide Implementation Guide].
 
 The internal structure of PDAF is organized into a generic part providing the infrastructure to perform ensemble forecasts and filter analysis steps. This generic part is independent of the particular filter algorithm and only distinguishes between ensemble based filters (all filters except SEEK) and mode based filters (currently only SEEK). The filter-specific routines are called through an internal interface.
@@ -163 +163 @@
  * Check, if the ensemble integration is completed (in that case, it is `member = local_dim_ens + 1`). If not, exit the `PDAF_put_state_X`.
  * If the ensemble integration is completed, the following operations are required:
-  * If more than one model task is used: Collect the sub-ensembles from
+  * If more than one model task is used: Collect the sub-ensembles from all model tasks onto the processes that perform the analysis step. This operation is done by the subroutine `PDAF_gather_ens`.
+  * Call the routine that computes the analysis step for the chosen filter algorithm
+  * Reset the control variables for the ensemble forecast (`initevol=1`,`member=1`,`step=step_obs+1`).