Roberto Buizza

Global and Planetary Change · 2001–2019

A researcher in the Science corpus: 9 papers; trusts 11 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 42 citations into it; #1,453 of 10,225 by trust here, #2,911 by citations
• Atmospheric Science — 39 citations into it; #2,304 of 4,804 by trust here, #2,179 by citations
• Oceanography — 6 citations into it

Whom Roberto Buizza trusts overall

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

1. G. Shutts
2. Hans Hersbach
3. Tim N. Palmer
4. Robert F. Engle
5. Tim Bollerslev
6. Dale R. Durran
7. J. Berner
8. Martin Leutbecher
9. James W. Taylor
10. Mark Gingrich

Who trusts Roberto Buizza overall

1. James W. Taylor
2. Rafal Weron
3. D. Wilks
4. Martin Leutbecher
5. Tim N. Palmer
6. S. Jewson
7. E. Yukseltan
8. Thomas M. Hamill
9. Ching-Lai Hor
10. D. Domeisen

Papers from Roberto Buizza's perspective

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

1. A kinetic energy backscatter algorithm for use in ensemble prediction systems
2. The MOGREPS short‐range ensemble prediction system
3. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
4. Ensemble Kalman filtering
5. Ensemble forecasting (Journal of Computational Physics)
6. A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics
7. The Spatial Structure of Observation Errors in Atmospheric Motion Vectors from Geostationary Satellite Data
8. Correlation modelling on the sphere using a generalized diffusion equation
9. A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System
10. Ice supersaturation in the ECMWF integrated forecast system

Their papers

• Neural network load forecasting with weather ensemble predictions (2002) — 469 citations
• Using weather ensemble predictions in electricity demand forecasting (2003) — 309 citations
• What Is the Predictability Limit of Midlatitude Weather? (2019) — 211 citations
• The forecast skill horizon (2015) — 148 citations
• Stochastic parametrization and model uncertainty (2009) — 322 citations
• ‘Jumpiness’ of the ECMWF and Met Office EPS control and ensemble-mean forecasts (2009) — 53 citations
• A comparison of temperature density forecasts from GARCH and atmospheric models (2004) — 53 citations
• Benefits of increased resolution in the ECMWF ensemble system and comparison with poor‐man's ensembles (2003) — 84 citations
• Tropical singular vectors computed with linearized diabatic physics (2001) — 136 citations