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CliMA · Jul 31, 2024 · 190c0b0 · 190c0b0
1 parent 69eb4a5
commit 190c0b0
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Showing 2 changed files with 3 additions and 8 deletions.
diff --git a/examples/Cloudy/Cloudy_calibrate.jl b/examples/Cloudy/Cloudy_calibrate.jl
@@ -149,12 +149,7 @@ N_ens = 50 # number of ensemble members
 N_iter = 15 # number of EKI iterations
 # initial parameters: n_params x N_ens
 initial_params = construct_initial_ensemble(rng, priors, N_ens)
-ekiobj = EnsembleKalmanProcess(
-    initial_params,
-    truth,
-    Inversion(),
-    scheduler = DataMisfitController(),
-)
+ekiobj = EnsembleKalmanProcess(initial_params, truth, Inversion(), scheduler = DataMisfitController())
 
 # Initialize a ParticleDistribution with dummy parameters. The parameters 
 # will then be set within `run_dyn_model`
@@ -194,7 +189,7 @@ save(
     ekiobj,
     "truth_sample",
     get_sample(truth),
-    "truth_sample_mean", 
+    "truth_sample_mean",
     vec(mean(y_t, dims = 2)),
     "truth_input_constrained",
     ϕ_true,

diff --git a/examples/Lorenz/calibrate.jl b/examples/Lorenz/calibrate.jl
@@ -254,7 +254,7 @@ function main()
 
 
     # Construct observation object
-truth = Observation(Dict("samples" => vec(mean(yt, dims = 2)), "covariances" => Γy, "names" => data_names))
+    truth = Observation(Dict("samples" => vec(mean(yt, dims = 2)), "covariances" => Γy, "names" => data_names))
     ###
     ###  Calibrate: Ensemble Kalman Inversion
     ###