D. Unger

Atmospheric Science · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Unger trusts overall

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

  1. Michael K. Tippett
  2. A. Barnston

Papers from D. Unger's perspective

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

  1. Predictions of Nino3.4 SST in CFSv1 and CFSv2: a diagnostic comparison (Climate Dynamics)
  2. Is unequal weighting significantly better than equal weighting for multi‐model forecasting?
  3. A verification framework for interannual-to-decadal predictions experiments (Climate Dynamics)
  4. 「Statistical Methods in the Atmospheric Sciences(2nd edition), International Geophysics Series 91」, Daniel S. Wilks著, Academic Press, 2005年11月, 648頁, $94.95, ISBN978-0-12-751966-1(本だな)
  5. Skill of Multimodel ENSO Probability Forecasts
  6. A New Vector Partition of the Probability Score
  7. An analysis of multimodel ensemble predictions for seasonal climate anomalies
  8. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
  9. A Bayesian Framework for Multimodel Regression
  10. Measuring Dynamical Prediction Utility Using Relative Entropy

Their papers