Spinning up truth for 2000 steps...
PetscDA Object: 1 MPI process
  State size: 40
  Observation size: 40
  Ensemble size: 30
  Assembled: true
  Inflation: 1.
  Square root type: eigen
Lorenz-96 ETKF Example
======================
  State dimension       : 40
  Ensemble size         : 30
  Forcing parameter (F) : 8.0000
  Time step (dt)        : 0.0500
  Total steps           : 120
  Burn-in steps         : 10
  Observation frequency : 1
  Observation noise std : 1.000
  Random seed           : 12345

Step    0, time  0.000  RMSE_forecast 0.00000  RMSE_analysis 0.00000 [burn-in]
Step   12, time  0.600  RMSE_forecast 0.24256  RMSE_analysis 0.20764
Step   24, time  1.200  RMSE_forecast 0.16743  RMSE_analysis 0.17918
Step   36, time  1.800  RMSE_forecast 0.14321  RMSE_analysis 0.12513
Step   48, time  2.400  RMSE_forecast 0.18338  RMSE_analysis 0.15981
Step   60, time  3.000  RMSE_forecast 0.16540  RMSE_analysis 0.14826
Step   72, time  3.600  RMSE_forecast 0.13337  RMSE_analysis 0.11665
Step   84, time  4.200  RMSE_forecast 0.15025  RMSE_analysis 0.09823
Step   96, time  4.800  RMSE_forecast 0.14017  RMSE_analysis 0.13986
Step  108, time  5.400  RMSE_forecast 0.15261  RMSE_analysis 0.16382
Step  120, time  6.000  RMSE_forecast 0.14602  RMSE_analysis 0.15570

Statistics (111 post-burn-in steps):
==================================================
  Mean RMSE (forecast) : 0.17504
  Mean RMSE (analysis) : 0.16107
  Observations used    : 120

