Jiqin Zhong

Atmospheric Science · 2014

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

Subfields

Whom Jiqin Zhong trusts

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

  1. R. Bannister (in Atmospheric Science)

Who trusts Jiqin Zhong

  1. R. Bannister (in Atmospheric Science)

Papers from Jiqin Zhong's perspective

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

  1. The Met Office global four‐dimensional variational data assimilation scheme
  2. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
  3. The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme
  4. An overview of the variational assimilation in the ALADIN/France numerical weather‐prediction system
  5. A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics
  6. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  7. An Ensemble Adjustment Kalman Filter for Data Assimilation
  8. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances
  9. Modelling of error covariances by 4D‐Var data assimilation
  10. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model

Their papers