Michael Scheuerer

Atmospheric Science · 2010–2015

A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 64 citations into it; #318 of 4,804 by trust here, #2,779 by citations
• Global and Planetary Change — 59 citations into it; #593 of 10,225 by trust here, #5,357 by citations
• Environmental Engineering — 27 citations into it; #3,233 of 5,479 by trust here, #4,524 by citations
• Statistics and Probability — 11 citations into it
• Management Science and Operations Research — 9 citations into it
• Artificial Intelligence — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Michael Scheuerer trusts overall

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

1. Tilmann Gneiting
2. Adrian E. Raftery
3. Hans Hersbach
4. Jochen Bröcker
5. D. Wilks
6. Thomas M. Hamill
7. J. M. L. Sloughter
8. S. Bentzien
9. C. Ferro
10. Tim N. Palmer

Who trusts Michael Scheuerer overall

1. Jakob W. Messner
2. Sebastian Lerch
3. Alexander I. Jordan
4. Georg J. Mayr
5. Manuel Gebetsberger
6. Kira Feldmann
7. Thordis Linda Thorarinsdottir
8. Fabian Krüger
9. Achim Zeileis
10. Stephan Rasp

Papers from Michael Scheuerer's perspective

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

1. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
2. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
3. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
4. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
5. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
6. Strictly Proper Scoring Rules, Prediction, and Estimation
7. Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
8. Evaluating Probabilistic Forecasts Using Information Theory
9. Comparison of Ensemble-MOS Methods Using GFS Reforecasts
10. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting

Their papers

• Variogram-Based Proper Scoring Rules for Probabilistic Forecasts of Multivariate Quantities* (2015) — 193 citations
• Statistical Postprocessing of Ensemble Precipitation Forecasts by Fitting Censored, Shifted Gamma Distributions* (2015) — 201 citations
• Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014) — 77 citations
• Assessing the Calibration of High-Dimensional Ensemble Forecasts Using Rank Histograms (2013) — 82 citations
• Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics (2013) — 194 citations
• Regularity of the sample paths of a general second order random field (2010) — 56 citations