Comparing Adjoint-and Ensemble-Sensitivity Analysis with Applications to Observation Targeting

  title={Comparing Adjoint-and Ensemble-Sensitivity Analysis with Applications to Observation Targeting},
  author={GREGORY J. HAKIM},
  • Published 2007
The sensitivity of numerical weather forecasts to small changes in initial conditions is estimated using ensemble samples of analysis and forecast errors. Ensemble sensitivity is defined here by linear regression of analysis errors onto a given forecast metric. We show that ensemble sensitivity is proportional to the projection of the analysis-error covariance onto the adjoint sensitivity field. Furthermore, the ensemble sensitivity approach proposed here involves a small calculation that is… CONTINUE READING
Highly Cited
This paper has 31 citations. REVIEW CITATIONS
25 Citations
29 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 25 extracted citations


Publications referenced by this paper.
Showing 1-10 of 29 references

Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system

  • R. H. Langland, N. L. Baker
  • Tellus,
  • 2004
Highly Influential
9 Excerpts

Ensemble synoptic analysis

  • G. J. Hakim
  • 2008

Beta test code documentation for CWO-5

  • Ruggiero, H Frank, +4 authors X. Zou
  • Air Force Research Laboratory,
  • 2002
1 Excerpt

Can an ensemble transform Kalman filter predict the reduction in forecast-error variance produced by targeted observations

  • S. J. Majumdar, C. H. Bishop, B. J. Etherton, I. Szunyogh, Z. Toth
  • Quart. J. Roy. Meteor
  • 2001

Similar Papers

Loading similar papers…