Ensemble data assimilation using a unified representation of model error

Title
Ensemble data assimilation using a unified representation of model error
Presentation
Date Published
2016
Author
Chiara Piccolo
Mike Cullen
Keywords
Abstract
  • Motivation and model error calibration
  • Implementation in an EnDA system
  • Results:
    • Random assumption of the analysis increments
    • Spread skill at longer lead times
    • Deterministic verification of ‘climate’ integrations
    • Comparison with physically based stochastic forcing
  • Further issues
  • Summary