M. Buehner

Atmospheric Science · 2002–2013

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom M. Buehner trusts overall

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

  1. Thomas M. Hamill
  2. P. Houtekamer
  3. H. Mitchell
  4. A. Lorenc
  5. C. Snyder
  6. J. Whitaker
  7. By P. L. Houtekamer
  8. Patricia W. Cheng
  9. Klaus Oberauer
  10. Alan Baddeley

Who trusts M. Buehner overall

  1. Xuguang Wang
  2. R. Bannister
  3. C. Bishop
  4. Stephen G. Penny
  5. Marc Bocquet
  6. Adam Clayton
  7. Z. Meng
  8. Alberto Carrassi
  9. Chengsi Liu
  10. Bin Wang

Papers from M. Buehner's perspective

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

  1. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  2. Ensemble Data Assimilation without Perturbed Observations
  3. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  4. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  5. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  6. Ensemble Kalman filtering
  7. An Ensemble Adjustment Kalman Filter for Data Assimilation
  8. Implications of Stochastic and Deterministic Filters as Ensemble-Based Data Assimilation Methods in Varying Regimes of Error Growth
  9. Ensemble size, balance, and model-error representation in an ensemble Kalman filter
  10. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems

Their papers