Kyle S. Hickmann

Atmospheric Science · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle S. Hickmann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Eugenia Kalnay
  2. J. Whitaker
  3. Thomas M. Hamill
  4. P. Houtekamer
  5. Brian R. Hunt
  6. H. Mitchell
  7. Eric J. Kostelich
  8. C. Snyder

Who trusts Kyle S. Hickmann overall

  1. Jon A. Linker

Papers from Kyle S. Hickmann's perspective

Ordered by how strongly the researchers Kyle S. Hickmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Ensemble Data Assimilation without Perturbed Observations
  2. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  3. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  4. Atmospheric Modeling, Data Assimilation and Predictability
  5. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
  6. An Ensemble Adjustment Kalman Filter for Data Assimilation
  7. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  8. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  9. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  10. Accounting for the Error due to Unresolved Scales in Ensemble Data Assimilation: A Comparison of Different Approaches

Their papers