states.EnsembleProcess
class EnsembleProcess:Random-walk predict step: multiplicative covariance inflation.
Adds process uncertainty by inflating the ensemble's spread about its
mean by ``sqrt(1 + q * dt)``. This is the standard EnKF treatment of
additive process noise for a random-walk state and leaves the ensemble
mean (the matched estimate) unchanged.
Parameters
| Name | Type | Description |
|---|---|---|
| field | str | Primary mean field. The ensemble members live in ``f"{field}_ensemble"`` with shape ``(N, E, D)``. |
| q = 0.01 | float | Per-unit-time process-noise (inflation) scale. |
Members
property
- ensemble_fieldReturn the ensemble-members field name.
- field
- q
Source: unitrack/states/kalman/ensemble.py:56