S. Min
Global and Planetary Change · with Hense · 2006–2014
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 28 citations into it; #4,163 of 10,225 by trust here, #2,694 by citations
- Atmospheric Science — 27 citations into it; #2,063 of 4,804 by trust here, #1,059 by citations
Whom S. Min trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adrian E. Raftery
- C. Tebaldi
- Richard L. Smith
- Roger W. Johnson
- Jennifer A. Hoeting
- Tilmann Gneiting
- Myles Allen
- L. Mearns
- David Madigan
- Fadoua Balabdaoui
Who trusts S. Min overall
- C. Tebaldi
- Reto Knutti
- A. King
- Daniel Simonis
- Auroop Ratan Ganguly
- V. Agilan
- T. Reichler
- Ben Yang
- Andreas N. Hense
- V. Mishra
Papers from S. Min's perspective
Ordered by how strongly the researchers S. Min trusts endorse each paper. Same corpus, a different order for every researcher.
- Using Bayesian Model Averaging to Calibrate Forecast Ensembles
- Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations
- Quantifying the uncertainty in forecasts of anthropogenic climate change (Nature)
- Uncertainty in predictions of the climate response to rising levels of greenhouse gases (Nature)
- 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
- Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles
- The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
- The Comparison and Evaluation of Forecasters.
- Bayesian Model Averaging: A Tutorial
- An Introduction to the Bootstrap
Their papers
- Weakening of the stratospheric polar vortex by Arctic sea-ice loss (2014) — 733 citations
- Human contribution to more-intense precipitation extremes (2011) — 2,052 citations
- Probabilistic climate change predictions applying Bayesian model averaging (2007) — 91 citations
- 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 (2006) — 114 citations