D. Barker

Atmospheric Science · with Huang · 2004–2019

A researcher in the Science corpus: 7 papers; trusts 32 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom D. Barker trusts overall

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

  1. Jeffrey L. Anderson
  2. A. Lorenc
  3. M. Buehner
  4. R. Purser
  5. G. Desroziers
  6. Wan Wu
  7. Thomas M. Hamill
  8. J. Pleim
  9. Xuguang Wang
  10. N. Ingleby

Who trusts D. Barker overall

  1. R. Bannister
  2. Juanzhen Sun
  3. Xuguang Wang
  4. Z. Meng
  5. Fuqing Zhang
  6. Hongli Wang
  7. Q. Xiao
  8. Xiangjun Tian
  9. Xiangyu Huang
  10. Xuanli Li

Papers from D. Barker's perspective

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

  1. An Ensemble Adjustment Kalman Filter for Data Assimilation
  2. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  3. The Met Office global four‐dimensional variational data assimilation scheme
  4. Ensemble Data Assimilation without Perturbed Observations
  5. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
  6. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  7. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
  8. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  9. A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation
  10. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?

Their papers