| | 2 | |
| | 3 | |
| | 4 | == Version 1.12 - December 21, 2016 == |
| | 5 | |
| | 6 | Changes:[[BR]] |
| | 7 | * New filter method: LEnKF - The classical Ensmeble Kalman Filter with covariance localization (filtertype 8) |
| | 8 | * New filter: NETF (Nonlinear Ensemble Transform Filters by Toedter and Ahrens (Monthly Weather Review 143 (2015) 1347-1367) including smoother extension (filtertype 9) |
| | 9 | * New filter: LNETF - NETF with local analysis and observation localization, including smoother extension (filtertype 10) |
| | 10 | * revised memory counting to work with more than 2.1 GB per process |
| | 11 | * New routines for ensemble generation: PDAF_eofcovar and PDAF_sampleens. These routines simplify to generate an ensemble with second-order exact sampling (see [wiki:EnsembleGeneration documentation on ensemble generation] and documentation for each routine linked on that page) |
| | 12 | * New routines for ensemble diagnostics (histograms, skewness and kurtosis, effective sample size). (see [wiki:DataAssimilationDiagnostics documentation on data assimilation diagnostics] and documentation for each routine linked on that page) |
| | 13 | * Bug correction: forgetting factor in EnKF smoother was treated incorrectly |
| | 14 | * Bug correction: SEEK filter in single-precision case showed an issue |
| | 15 | * Additional functionality for Lorenz-96 test case: model error can be added to the integration and incomplete observations are supported. |
| | 16 | * revised ensemble generation in testsuite for EnKF with dummy model: for ensemble larger than state dimension a random sampling is now used, while for ensmeble up to the size of the state the mean-preserving intialization as before is used. |
| | 17 | |
| | 18 | ---- |
| | 19 | |
| | 20 | == Previous versions == |
