Changes between Version 17 and Version 18 of ImplementAnalysisENSRF_EAKF
- Timestamp:
- Feb 7, 2026, 12:35:12 PM (5 days ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
ImplementAnalysisENSRF_EAKF
v17 v18 47 47 == Overview == 48 48 49 The ENSRF and EAKF are ensemble Kalman filter variants using serial observation processing. The implementation in PDAF follows Houtekamer and Hamill (2002) for the ENSRF and Anderson (2003) for the EAKF variant using local least squares regression. The parallelization follows Anderson and Collins (2007), where the 'high-latency' variant is implemented, since their 'low-latency' variant appears to be overly optimistic while still leading to a partial serialization of the execution.49 The ENSRF and EAKF are ensemble Kalman filter variants using serial observation processing. The implementation in PDAF follows Whitaker and Hamill (2002) for the ENSRF and Anderson (2003) for the EAKF variant using local least squares regression. The parallelization follows Anderson and Collins (2007), where the 'high-latency' variant is implemented, since their 'low-latency' variant appears to be overly optimistic while still leading to a partial serialization of the execution. 50 50 51 51 The variant of the serial-observation processing filter is selected by the `subtype` in the call to `PDAF_init` as follows:
