G. Ng

Atmospheric Science · 2008

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Ng trusts overall

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

  1. Geir Evensen
  2. Alan S. Willsky
  3. Stéphane Popinet

Papers from G. Ng's perspective

Ordered by how strongly the researchers G. Ng 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. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  3. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  4. Ensemble size, balance, and model-error representation in an ensemble Kalman filter
  5. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  6. Hydrologic Data Assimilation with the Ensemble Kalman Filter
  7. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
  8. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  9. Gerris: a tree-based adaptive solver for the incompressible Euler equations in complex geometries
  10. Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation

Their papers