Changes between Version 260 and Version 261 of LnDevel


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Timestamp:
Mar 30, 2025, 5:06:12 PM (2 days ago)
Author:
lnerger
Comment:

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  • LnDevel

    v260 v261  
    186186
    187187Major changes with effect on backward-compatibility
    188 * replaced the optional module 'PDAF_interfaces_module' by the module 'PDAF'. In Fortran code, it is now required to include this module with 'USE PDAF'.
    189 * Change for offline mode: It is no longer spossible to specify the offline mode as 'subtype=5'. The offline model can now only be activated with a call to 'PDAF_set_offline_mode'.
    190 * Changes in subtypes (Only rleevant if one used other subtpyes the 0 or 1): The subtypes for the ensemble filters have been renumbered: subtypes 0 and 1 are unchanged, the other dynamic subtypes are changed as 4=>2, 6=>3, 7=>4; the variant with fixed ensmeble are changed as 2=>10, 3=>11.
    191 * Changes in the index of selected parameters: The index of some of the parameters set in PDAF_init has changed for better overall consistency. (See .... for an overview of the parameters)
     188* New general module 'PDAF' replacing the optional module 'PDAF_interfaces_module'. In Fortran code, it is now required to include this module with 'USE PDAF'.
     189* Change for offline mode: It is no longer possible to specify the offline mode as 'subtype=5'. The offline mode can now only be activated with a call to 'PDAF_set_offline_mode'.
     190* The subtypes have been renumbered: subtypes 0 and 1 are unchanged, the other dynamic subtypes are changed as 4=>2, 6=>3, 7=>4; the variant with fixed ensmeble are changed as 2=>10, 3=>11.
     191* Changes in the index value a some parameters: The index of some of the parameters set in PDAF_init has changed for better overall consistency. (See .... for an overview of the parameters)
    192192* The SEEK filter (filtertype=0) was finally removed after it was marked deprecated for a longer period.
    193193* Removed 'src/Makefile'. Now only the new Makefile in the main directory exists. However, if one has a workflow basing on src/Makefile and can copy the Makefile and adapt it according to the description within the file.
     194* The 'simplified interface' (routine names ending with `_si`) has been removed.
    194195
    195196
    196197Major changes and additions:
    197 * Incremental Analysis Updates (IAU): The previous IAU of PDAF was recoded. Now a fully featured IAU is supported.
     198* Incremental Analysis Updates (IAU): The previous IAU of PDAF was recoded. Now there is a fully featured IAU implementation.
    198199* Added ENSRF/EAKF: The ensemble square-root filter (ENSRF, Whitaker & Hamill, 2002) and ensemble adjustment filter with local linear regression (EAKF, Anderson, 2003) were added. These filters perform the analysis step with a serial processing of single observations.
    199200* Added more diagnostic routines, e.g. for computing ensemble mean (PDAF_diag_ensmean), ensemble mean standard deviation (PDAF_diag_stdev), variance state vector (PDAF_diag_variance) and higher order moments (PDAF_diag_compute_moments).
    200201* Added observation diagnostics module for OMI: This is a set of routines that give the user access to the observation information including the observed ensemble and the observed ensemble mean. In addition, there are routines computing statistics for the difference beetween the observations and the observed ensemble mean.
    201 * Revised setting parameters for PDAF: Before the parameters were all set in the call to PDAF_init. Now there are new routines PDAF_set_iparam and PDAF_set_rparam to set selected parameters, without the need to specify all parameters. These routines make the specification of parameters for PDAF more flexible and can also be used during a run to change parameter values.
    202 * Revision of the initialization of observations: Now the observations are initialized before the actual analysis step is computed. Also the observartion operator is called before the actual analysis step. This also allows the option to initialize observations before prepoststep_pdaf is called for the forecast ensemble. Related to this the screen output for the observations was revised and is displayed at a different location from before
    203 * New PDAF3 interface: The selection of possible calls to PDAF*_put_state and PDAF*_assimilate has grown over the years since new functionality, in particular PDAF-OMI and PDAFlocal, required a new interfaces. We now defined a new standard interface in which a single routine (PDAF3_assimilate) can execute all available filter methods for the case of a diagonal observation error covariance matrix. The routine leverages the latest features that were introduced in previous PDAF releases to allow for a minimum number of arguments. The previous routines still exist, but we recommend to change to the new routines. There is also the routine PDAF3_put_state, which is now mainly recommended when the offline mode is used.
     202* New routines to set parameters for PDAF: Before the parameters were all set in the call to PDAF_init. Now there are new routines PDAF_set_iparam and PDAF_set_rparam to set selected parameters, without the need to specify all parameters. These routines make the specification of parameters for PDAF more flexible and can also be used during a run to change parameter values.
     203* Revision of the initialization of observations: Now the observations are initialized before the actual analysis step is computed. Also the observation operator is called before the actual analysis step. This chane allows for the option to initialize observations before prepoststep_pdaf is called for the forecast ensemble. Related to this the screen output for the observations was revised and is displayed at a different place from before.
     204* New PDAF3 interface: The selection of possible calls to PDAF*_put_state and PDAF*_assimilate has grown over the years since new functionality, in particular PDAF-OMI and PDAFlocal, required a new interfaces. We now defined a new standard interface in which a single routine (PDAF3_assimilate) can execute all available filter methods for the case of a diagonal observation error covariance matrix. The routine leverages the latest features that were introduced in previous PDAF releases to allow for a minimum number of arguments. There is also the routine PDAF3_put_state, which is now mainly recommended when the offline mode is used.
    204205* New routine PDAF_get_fcst_info: This routine allows to retrieve the return values of PDAF_get_state (nsteps, time, doexit) for the case that PDAF_assimilate routines, which do not return these values, are used.
    205 * Change for flexible parallelization variant: For this variant it is now possible to use PDAF_assimilate, while PDAF_put_state routines had to be called before. Using PDAF_assimilate in combination with 'PDAF_get_fcst_info' is the recommend choice for PDAF V3, but usinf PDAF_put_state is still possible. Since PDAF_assimilate is called at each time step during the forecast phase this allows to easy use of the IAU functionality.
     206* Change for flexible parallelization variant: It is now possible to use PDAF_assimilate for the flexible parallelization, while PDAF_put_state routines had to be called before. Since PDAF_assimilate is called at each time step during the forecast phase this allows to easy use of the IAU functionality.
    206207* New routine PDAFomi_set_localize_covar: This routine is called in the OMI observation module in init_dim_obs_pdafomi. It sets the information for localization in the LEnKF and ENSRF/EAKF methods. (optional for LEnKF)
    207 * Calling LEnKF with the common routine PDAF3_assimilate_global: In PDAF 2.3 and before, the LEnKF had its own interface due to the additional call-back routine localize_covar_pdafomi required by this filter. With the new routine PDAFomi_set_localize_covar that is called in the OMI observation module in init_dim_obs_pdafomi the additional user-supplied subroutine localize_covar_pdafomi is no longer required which lowers the amount of implementation work for the user.
    208 * New routine `PDAF_set_seedset`: This routine can be used to seed the randum number seed for genering observations
    209 * Introduced named variables for choosing the filter type: The filter type can now also be specified by a named parameter of the form PDAF_DA_X, where 'X' is the DA method, e.g. 'ESTKF' or '3DVAR'. With this one does not need to look up the number of the filter type.
     208* Calling LEnKF with the universal routine PDAF3_assimilate: In PDAF 2.3 and before, the LEnKF had its own interface due to the additional call-back routine localize_covar_pdafomi required by this filter. With the new routine PDAFomi_set_localize_covar that is called in the OMI observation module in init_dim_obs_pdafomi the additional user-supplied subroutine localize_covar_pdafomi is no longer required which lowers the amount of implementation work for the user.
     209* New routine `PDAF_set_seedset`: This routine can be used to seed the random number seed for PDAF's random number generating routine.
     210* Introduced named variables for choosing the filter type: The filter type can now also be specified by a named parameter of the form PDAF_DA_X, where 'X' is the DA method, thus, e.g. 'PDAF_DA_ESTKF'. With this, one does not need to look up the number of the filter type.
    210211* Added routine 'PDAF_print_filter_types': This routine writes a list of the available filter types and named parameters PDAF_DA_X.
    211212* Added Fortran function PDAF_localfilter as alternative to subroutine PDAF_get_localfilter to make code more compact
    … …  
    226227* Corrected a parallel race condition in the LKNETF NHK variant (subtype=0) in case of OpenMP parallelization
    227228* Corrected convergence check for the CG+ solver in the 3D-Var methods in case of parallelized control vector.
    228 * Corrected computation of likelihood for the case that dim_obs_l=0 for some observation type, but overall dim_obs_l>0. This could lead to a segmentatoin fault in the LKNETF)
     229* Corrected computation of likelihood for the case that dim_obs_l=0 for some observation type, but overall dim_obs_l>0. This could lead to a segmentation fault in the LKNETF.
    229230* Correction of type_forget=2: For the case that the adaptive forgetting factor would compute a negative value, the forgetting factor of the previous domain was used. Now, the prescribed default value is used. Here also a possible race condition when using OpenMP was fixed.
    230231* Corrected call to U_obs_op_adj. Here inside PDAF a rank-1 array was provided as argument, while it needed to be a rank-2 array with only one column.