Ensemble-Based Sensitivity Analysis

@inproceedings{Torn2008EnsembleBasedSA,
  title={Ensemble-Based Sensitivity Analysis},
  author={Ryan Torn and GREGORY J. HAKIM},
  year={2008}
}
The sensitivity of forecasts to observations is evaluated using an ensemble approach with data drawn from a pseudo-operational ensemble Kalman filter. For Gaussian statistics and a forecast metric defined as a scalar function of the forecast variables, the effect of observations on the forecast metric is quantified by changes in the metric mean and variance. For a single observation, expressions for these changes involve a product of scalar quantities, which can be rapidly evaluated for large… CONTINUE READING
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