Kees Kok

Atmospheric Science · 2010

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kees Kok trusts overall

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

  1. D. Wilks
  2. Thomas M. Hamill
  3. Adrian E. Raftery
  4. Tilmann Gneiting
  5. Xuguang Wang
  6. J. M. L. Sloughter
  7. L. Wilson
  8. C. Bishop

Who trusts Kees Kok overall

  1. Jakob W. Messner
  2. Georg J. Mayr

Papers from Kees Kok's perspective

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

  1. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
  2. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
  3. Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
  4. Comparison of Ensemble-MOS Methods Using GFS Reforecasts
  5. Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation
  6. Comparison of ensemble‐MOS methods in the Lorenz '96 setting
  7. Calibrated Surface Temperature Forecasts from the Canadian Ensemble Prediction System Using Bayesian Model Averaging
  8. Improvement of ensemble reliability with a new dressing kernel
  9. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
  10. Interpretation of Rank Histograms for Verifying Ensemble Forecasts

Their papers