Bin Wang

Atmospheric Science · with Liu · 2008–2010

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Wang trusts overall

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

  1. Jeffrey L. Anderson
  2. M. Buehner
  3. P. Houtekamer
  4. A. Lorenc
  5. H. Mitchell
  6. Chengsi Liu
  7. Thomas M. Hamill
  8. Milija Zupanski
  9. C. Snyder
  10. Q. Xiao

Who trusts Bin Wang overall

  1. R. Bannister
  2. Xiangjun Tian
  3. Marc Bocquet
  4. Massimo Bonavita
  5. Xiaobing H. Feng
  6. Yongming Wang
  7. Pavel Sakov
  8. C. Bishop
  9. Chengsi Liu
  10. Adam Clayton

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin Wang 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. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  5. Ensemble size, balance, and model-error representation in an ensemble Kalman filter
  6. Ensemble Kalman filtering
  7. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  8. Accounting for the Error due to Unresolved Scales in Ensemble Data Assimilation: A Comparison of Different Approaches
  9. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
  10. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter

Their papers