Ensemble Reduction Techniques

  • All mean member combinations are compared with measurements
    to find the one with the the minimum RMSE
  • Objective is to eliminate members that are not much different from
    each other and to reduce ensemble mean bias
  • In forecast applications update each analysis cycle with new data
    and use the best ensemble for the next forecast
  • Without measurement data, reduction techniques can also be used
    to compare members to reduce redundancy


  wildcard base name.???


  delete 5-member mean from working

Find Ensembles with Minimum Error

Create 2-member mean (1 and 5)


Recompute ensemble statistics