da_cycle: Function for cycled data assimilation

In robertsy/assimilr: Local Ensemble Kalman Particle Filters

Description

Function for cycled data assimilation

Usage

da_cycle(xb, model.run, f.update, rho = 1, nonoise = FALSE,
  verbose = TRUE, manifold_proj = NULL, cov_inflation = NULL, ...)

Arguments

xb	the initial ensemble
model.run	the true model time series
f.update	the analysis function
rho	the covariance inflation parameter
nonoise	if TRUE doesn't inject noise in forecast step (bad idea)
verbose	if TRUE minimal print info
manifold_proj	is to project the ensemble on a manifold after analysis, typicall sweq_proj
cov_inflation	for creating customized inflation function. The default is just multiplicative inflation
...	extra argument for f.update

Value

a list with the xa time series, and other informations returned by f.update

robertsy/assimilr documentation built on May 27, 2019, 10:33 a.m.