Daniel Simonis

Global and Planetary Change · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Simonis trusts overall

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

  1. Roger W. Johnson
  2. S. Min
  3. Adrian E. Raftery
  4. C. Tebaldi
  5. Myles Allen

Papers from Daniel Simonis's perspective

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

  1. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  2. Quantifying the uncertainty in forecasts of anthropogenic climate change (Nature)
  3. Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles
  4. Uncertainty in predictions of the climate response to rising levels of greenhouse gases (Nature)
  5. A Bayesian approach to climate model evaluation and multi‐model averaging with an application to global mean surface temperatures from IPCC AR4 coupled climate models
  6. An Introduction to the Bootstrap
  7. Bayesian Model Averaging: A Tutorial
  8. The Comparison and Evaluation of Forecasters.
  9. The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
  10. Calibrated Surface Temperature Forecasts from the Canadian Ensemble Prediction System Using Bayesian Model Averaging

Their papers