Mozheng Wei

Atmospheric Science · 2003–2008

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Mozheng Wei trusts overall

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

  1. Xuguang Wang
  2. Jeffrey L. Anderson
  3. A. Lorenc
  4. C. Bishop
  5. Thomas M. Hamill
  6. J. Whitaker
  7. Simon Justin Julier
  8. Milija Zupanski
  9. C. Ferro
  10. Z. Toth

Who trusts Mozheng Wei overall

  1. Martin Leutbecher
  2. G. Candille
  3. L. Magnusson
  4. Z. Toth
  5. Yuejian Zhu
  6. Xiaqiong Zhou
  7. R. Wobus
  8. Sharanya J. Majumdar
  9. Neill Bowler
  10. Tim N. Palmer

Papers from Mozheng Wei's perspective

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

  1. An Ensemble Adjustment Kalman Filter for Data Assimilation
  2. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  3. Ensemble Data Assimilation without Perturbed Observations
  4. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?
  5. A Comparison of Probabilistic Forecasts from Bred, Singular-Vector, and Perturbed Observation Ensembles
  6. A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes
  7. Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations (Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301))
  8. Maximum Likelihood Ensemble Filter: Theoretical Aspects
  9. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  10. Can an ensemble transform Kalman filter predict the reduction in forecast‐error variance produced by targeted observations?

Their papers