Local Ensemble Kalman Particle Filters

adaptive_gamma | Select gamma adaptively |

additive_error | Additive model error |

bal.sample | Balanced sampling |

bal_sample_ordered | Balanced sampling with reordering |

block_LEnKPF | block-LEnKPF analysis |

da_cycle | Function for cycled data assimilation |

da_update | Wrapper function for assimilation algorithms |

enkf_step | EnKF part of EnKPF |

EnKPF | Global EnKPF |

ensure_PD | To ensure positive definiteness |

f_crps | Compute CRPS score |

f_crps_wgm | Compute CRPS score for a Gaussian mixture |

GC_function | GC covariance function |

gp_as_df | Transform the state matrix into a data frame |

gp_ens0 | Generate initial ensemble |

gp_plot | Plot the true field, the observations and an ensemble |

gp_simulate | Simulate a correlated Gaussian random field |

image_mat | Plot covariance |

kalman.gain | Compute the Kalman Gain |

kloc_gain | Equivalent local Kalman gain |

leftmatch | Perumute indices |

msqrt | Symmetric matrix square root of a positive definite matrix |

multiplot | Combine multiple ggplots |

naive_LEnKPF | naive LEnKPF analysis |

one_block_update | assimilation of one block with block-LEnKPF |

pit_hist | Compute PIT Histogram |

pit_sweq | Compute PIT (probability integral transform) for sweq |

pit_sweq_plot | Plot PIT histogram |

plot_crps | Plot time evolution of CRPS for all fields |

plot_eval | Plot time evolution of errors |

ring_alldist | Pairwise distances on a rings |

ring_dist | Distance on ring |

ring_GC | GC taper on ring |

ring_mod | Ring modulo |

ring_neighbours | Neighborhood on a ring |

ring_partition | Ring partition for the block-LEnKPF |

sweq_as_df | from sweq_simulate to data_frame |

sweq_change_R | Change R matrix |

sweq_ens0 | Generate an initial ensemble for assimilation: |

sweq_eval | Compute diagnostics of SWEQ cycling experiment |

sweq_GC | GC taper on SWEQ |

sweq_ggplot | Plot SWEQ |

sweq_neighbours | SWEQ neighbours |

sweq_partition | SWEQ partition for the block-LEnKPF |

sweq_proj | Project back onto the manifold where rain>0: |

sweq_run_as_df | From sweq_run to data_frame |

sweq_simulate | Simulate from the modified SWEQ model |

sweq_split | SWEQ split state |

sweq_stack | SWEQ stack state |

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