B. Ancell

Atmospheric Science · 2007

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom B. Ancell trusts overall

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

  1. Thomas M. Hamill
  2. R. Langland
  3. C. Snyder
  4. N. Baker

Who trusts B. Ancell overall

  1. Ryan Torn
  2. Gregory J. Hakim

Papers from B. Ancell's perspective

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

  1. Statistical Methods in the Atmospheric Sciences
  2. Using Improved Background-Error Covariances from an Ensemble Kalman Filter for Adaptive Observations
  3. Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system
  4. An Ensemble Adjustment Kalman Filter for Data Assimilation
  5. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  6. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
  7. Ensemble Data Assimilation without Perturbed Observations
  8. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  9. Ensemble Kalman filtering
  10. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting

Their papers