Adam Clayton

Atmospheric Science · 2007–2013

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Clayton trusts overall

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

  1. M. Buehner
  2. A. Lorenc
  3. Xuguang Wang
  4. Chengsi Liu
  5. N. Ingleby
  6. Neill Bowler
  7. F. Rawlins
  8. W. Tennant
  9. Thomas M. Hamill
  10. Alberto Arribas

Who trusts Adam Clayton overall

  1. R. Bannister
  2. J. Poterjoy
  3. Xiangjun Tian
  4. Massimo Bonavita
  5. Xiaobing H. Feng
  6. C. Bishop
  7. Elias V. Holm
  8. N. Ingleby
  9. William A. Lahoz

Papers from Adam Clayton's perspective

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

  1. The Met Office global four‐dimensional variational data assimilation scheme
  2. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  3. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  4. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?
  5. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments
  6. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  7. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW)
  8. The MOGREPS short‐range ensemble prediction system
  9. The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction
  10. Ensemble Data Assimilation without Perturbed Observations

Their papers