Changes between Version 11 and Version 12 of Lorenz_63_model

Timestamp:

Feb 1, 2020, 12:49:31 PM (5 years ago)

Author:

lnerger

Comment:

--

Lorenz_63_model

@@ -117 +117 @@
 || plot_sigma || Plot the singular values from the file holdig the covariance matrix that is generated with tools/generate_covar.F90. ||
 || plot_state || Plot the state from the file holding a true state trajectory (state.nc) or the estimated forecast or analysis states from an assimilation experiment. ||
-|| plot_state_series || Plot a time series of the state from the file holding a true state trajectory (state._l63nc) or the estimated forecast or analysis states from an assimilation experiment for a selected state variable. ||
+|| plot_state_series || Plot a time series of the state from the file holding a true state trajectory (state_l63.nc) or the estimated forecast or analysis states from an assimilation experiment for a selected state variable. ||
 
 The scripts need the specification of the input file and the time step or variable to plot. The syntax of the functions is identical for Matlab and Python (except for `plot_rms`):
@@ -177 +177 @@
 || step_null || initial time step of experiment. This specifies the offset of the observations which are generated from a model forward run. A value 1000 avoids the spin-up phase of the model || 0 ||
 || total_steps || number of time step in the experiment || 5000 ||
-|| pf_res_type || type of resmpling scheme in the particle filter (2 set stochastic unversal resampling) || 1 ||
+|| pf_res_type || type of resampling scheme in the particle filter (2 set stochastic unversal resampling) || 1 ||
 || pf_noise_type || type of noise to perturb resampled particles (2 sets noise with amplitude relative to ensemble standard deviation) || 0 ||
 || pf_noise_amp || amplitude of noise to perturb resampled particles || 0.0 ||