NEDAS.assim_tools.assimilators.EAKF.core module

class NEDAS.assim_tools.assimilators.EAKF.core.EAKFAssimilator(c: Context)[source]

Bases: SerialAssimilator

obs_increment(obs_prior, obs, obs_err)[source]

Compute observation-space analysis increments.

Parameters:

  • obs_prior (np.ndarray) – Observation priors, 1-D float array of length nens

  • obs (float) – The real observation value

  • obs_err (float) – Observation error std

Returns:

observation-space analysis increments

Return type:

ndarray

update_local_state(state_prior, obs_prior, obs_incr, state_h_dist, state_v_dist, state_t_dist, hroi, vroi, troi, h_local_func, v_local_func, t_local_func) → None[source]

Update the local state vector with the analysis increments.

Parameters:

  • state_data (np.ndarray) – Local state vector, shape (nens, nfld, nloc)

  • obs_prior (np.ndarray) – Observation priors, shape (nens,)

  • obs_incr (np.ndarray) – Analysis increments, shape (nens,)

update_local_obs(obs_data, used, obs_prior, obs_incr, h_dist, v_dist, t_dist, hroi, vroi, troi, h_local_func, v_local_func, t_local_func) → None[source]

Update the local observations with analysis increments.

Parameters:

  • obs_data (np.ndarray) – obs prior ensemble, shape (nens, nlobs)

  • used (np.ndarray) – boolean mask of already-assimilated obs

NEDAS.assim_tools.assimilators.EAKF.core.obs_increment_eakf(obs_prior, obs, obs_err) → ndarray
NEDAS.assim_tools.assimilators.EAKF.core.update_local_state_linear(state_data, obs_prior, obs_incr, h_dist, v_dist, t_dist, hroi, vroi, troi, h_local_func, v_local_func, t_local_func) → None
NEDAS.assim_tools.assimilators.EAKF.core.update_local_obs_linear(obs_data, used, obs_prior, obs_incr, h_dist, v_dist, t_dist, hroi, vroi, troi, h_local_func, v_local_func, t_local_func)
NEDAS.assim_tools.assimilators.EAKF.core.update_ensemble(ens_prior, obs_prior, obs_incr, local_factor) → ndarray