Christine Johnson

Atmospheric Science · 2009

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christine Johnson 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. F. Zwiers
  10. John G. Proakis

Who trusts Christine Johnson overall

  1. A. Weigel
  2. Aaron Johnson

Papers from Christine Johnson's perspective

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

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

Their papers