E. Grimit

Atmospheric Science · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 54 citations into it; #902 of 4,804 by trust here, #1,505 by citations
• Global and Planetary Change — 53 citations into it; #1,862 of 10,225 by trust here, #3,676 by citations
• Environmental Engineering — 24 citations into it; #1,446 of 5,479 by trust here, #1,772 by citations
• Management Science and Operations Research — 9 citations into it
• Statistics and Probability — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom E. Grimit trusts overall

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

1. Nicholas I. Fisher
2. Tilmann Gneiting
3. William S. Cleveland
4. D. Wilks
5. Adrian E. Raftery
6. Thomas M. Hamill
7. J. Matheson
8. Hans Hersbach
9. G. Candille
10. Fadoua Balabdaoui

Who trusts E. Grimit overall

1. Thordis Linda Thorarinsdottir
2. Tilmann Gneiting
3. Petra Friederichs
4. Amanda S. Hering
5. Marc G. Genton
6. L. Bao
7. Sebastian Lerch
8. Barbara Casati
9. Alexander I. Jordan
10. Pierre Pinson

Papers from E. Grimit's perspective

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

1. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
2. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
3. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
4. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
5. Evaluating Probabilistic Forecasts Using Information Theory
6. Probabilistic forecasting from ensemble prediction systems: Improving upon the best‐member method by using a different weight and dressing kernel for each member
7. Statistical Methods in the Atmospheric Sciences
8. Evaluation of probabilistic prediction systems for a scalar variable
9. Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation
10. Comparison of Ensemble-MOS Methods Using GFS Reforecasts

Their papers

• Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging (2011) — 54 citations
• Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction (2010) — 88 citations
• Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds (2008) — 309 citations
• The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification (2006) — 183 citations