R. Hagedorn

Atmospheric Science · 2004–2009

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 53 citations into it; #169 of 4,804 by trust here, #219 by citations
• Global and Planetary Change — 52 citations into it; #341 of 10,225 by trust here, #785 by citations

Whom R. Hagedorn trusts overall

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

1. Francisco J. Doblas-Reyes
2. Tim N. Palmer
3. V. Pavan
4. Balaji Rajagopalan
5. Thomas M. Hamill
6. Bernard Walter Silverman
7. Upmanu Lall
8. D. Wilks
9. H. Feddersen
10. A. Barnston

Who trusts R. Hagedorn overall

1. Yuqiong Liu
2. Christine Johnson
3. Michael K. Tippett
4. T. Delsole
5. Francisco J. Doblas-Reyes
6. Tim N. Palmer
7. Richard Swinbank
8. C. Bishop
9. Hoshin V. Gupta
10. Reto Knutti

Papers from R. Hagedorn's perspective

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

1. A New Vector Partition of the Probability Score
2. Multi-model seasonal hindcasts over the Euro-Atlantic: skill scores and dynamic features
3. An analysis of multimodel ensemble predictions for seasonal climate anomalies
4. A probability and decision‐model analysis of PROVOST seasonal multi‐model ensemble integrations
5. A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models
6. Multi‐model spread and probabilistic seasonal forecasts in PROVOST
7. Measuring the accuracy of diagnostic systems.
8. Revision of convection, radiation and cloud schemes in the ECMWF integrated forecasting system
9. Multimodel Ensemble Forecasts for Weather and Seasonal Climate
10. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept

Their papers

• Strategies: Revolution in Climate Prediction is Both Necessary and Possible: A Declaration at the World Modelling Summit for Climate Prediction (2009) — 143 citations
• Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation (2008) — 248 citations
• The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept (2005) — 720 citations
• The rationale behind the success of multi-model ensembles in seasonal forecasting-II (2005) — 517 citations
• Representing model uncertainty in weather and climate prediction (2005) — 361 citations
• The rationale behind the success of multi-model ensembles in seasonal forecasting — II. Calibration and combination (2005) — 266 citations
• DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER) (2004) — 936 citations