Richard Swinbank

Atmospheric Science · 2000–2010

A researcher in the Science corpus: 8 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Swinbank trusts overall

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

  1. R. Hagedorn
  2. D. Wilks
  3. Francisco J. Doblas-Reyes
  4. Adrian E. Raftery
  5. Tim N. Palmer
  6. Thomas M. Hamill
  7. L. Wilson
  8. Neill Bowler
  9. Akira Kageyama
  10. F. Zwiers

Who trusts Richard Swinbank overall

  1. R. Garcia
  2. Álvaro González
  3. Simon Mitternacht
  4. William J. Randel
  5. D. Marsh
  6. M. Ern

Papers from Richard Swinbank's perspective

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

  1. Climate Predictions with Multimodel Ensembles
  2. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
  3. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  4. The rationale behind the success of multi-model ensembles in seasonal forecasting-II
  5. The MOGREPS short‐range ensemble prediction system
  6. Benefits of increased resolution in the ECMWF ensemble system and comparison with poor‐man's ensembles
  7. Can multi‐model combination really enhance the prediction skill of probabilistic ensemble forecasts?
  8. Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation
  9. The rationale behind the success of multi-model ensembles in seasonal forecasting — II. Calibration and combination
  10. Comparison of ensemble‐MOS methods in the Lorenz '96 setting

Their papers