## Abstract We propose an ensemble sensitivity method to calculate observation impacts similar to Langland and Baker (2004) but without the need for an adjoint model, which is not always available for numerical weather prediction models. The formulation is tested on the Lorenz 40‐variable model, an
Correction of ‘Estimating observation impact without adjoint model in an ensemble Kalman filter’
✍ Scribed by Hong Li; Junjie Liu; Eugenia Kalnay
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 140 KB
- Volume
- 136
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1002/qj.658
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The ensemble sensitivity method proposed by Liu and Kalnay (2008) to estimate the impact of observations on reducing forecast error is shown to have a slight error and is corrected here. The corrected formula captures the actual forecast error reduction better and removes the positive bias in the estimation introduced by the original formula. Copyright © 2010 Royal Meteorological Society
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