| 256 | | In the domain-localized filters (LESTK, LETKF, LSEIK, LNETF) observations are assimilated that are located within the localization around some grid point. When a model uses parallelization with domain-decomposition some of these observations might belong to a different process-domain. In th e default mode (`thisobs%use_global_obs`=1) PDAF-OMI gather all globally available observations so that each process has access to all observations. It can be more efficient to restrict the observations on a process-domain to those observations that are located inside the domain or within the localization radius arond it. Then, in the local analyses a smaller number of observation have to be checked for their distance. Setting `thisobs%use_global_obs=0` actiavates this feature. However, it needs additional preparations to make PDAF-OMI aware of the limiting coordinates of a process sub-domain. The use of this feature is described in the [wiki:OMI_use_global_obs documentation on using restricted observations]. |
| | 256 | In the domain-localized filters (LESTK, LETKF, LSEIK, LNETF) observations are assimilated that are located within the localization around some grid point. When a model uses parallelization with domain-decomposition some of these observations might belong to a different process-domain. In the default mode (`thisobs%use_global_obs`=1) PDAF-OMI gathers all globally available observations so that each process has access to all observations. It can be more efficient to restrict the observations on a process-domain to those observations that are located inside the domain or within the localization radius arond it. Then, in the local analyses a smaller number of observation have to be checked for their distance. Setting `thisobs%use_global_obs=0` activates this feature. However, it needs additional preparations to make PDAF-OMI aware of the limiting coordinates of a process sub-domain. The use of this feature is described in the [wiki:OMI_use_global_obs documentation on using restricted observations]. |
