Francisco J. Doblas-Reyes

Global and Planetary Change · 2000–2019

A researcher in the Science corpus: 21 papers; trusts 35 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 180 citations into it; #258 of 10,225 by trust here, #396 by citations
• Atmospheric Science — 169 citations into it; #131 of 4,804 by trust here, #82 by citations
• Oceanography — 40 citations into it; #3,525 of 4,047 by trust here, #863 by citations
• Ecology, Evolution, Behavior and Systematics — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Economics and Econometrics — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Francisco J. Doblas-Reyes trusts overall

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

1. Tim N. Palmer
2. V. Pavan
3. R. Hagedorn
4. Bernard Walter Silverman
5. Balaji Rajagopalan
6. H. Feddersen
7. F. Zwiers
8. A. Barnston
9. Simon Mason
10. Pranab Kumar Sen

Who trusts Francisco J. Doblas-Reyes overall

1. Yuqiong Liu
2. Tim N. Palmer
3. R. Hagedorn
4. Michael K. Tippett
5. C. Bishop
6. T. Delsole
7. Christine Johnson
8. Hoshin V. Gupta
9. Jochen Bröcker
10. Reto Knutti

Papers from Francisco J. Doblas-Reyes's perspective

Ordered by how strongly the researchers Francisco J. Doblas-Reyes trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Robust skill of decadal climate predictions (2019) — 250 citations
• Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis (2017) — 51 citations
• Uncertainty in recent near-surface wind speed trends: a global reanalysis intercomparison (2017) — 160 citations
• Decadal climate prediction: an update from the trenches (2014) — 512 citations
• Retrospective prediction of the global warming slowdown in the past decade (2013) — 208 citations
• Decadal prediction skill in a multi-model ensemble (2012) — 232 citations
• Assessment of representations of model uncertainty in monthly and seasonal forecast ensembles (2011) — 93 citations
• ECMWF seasonal forecast system 3 and its prediction of sea surface temperature (2011) — 162 citations
• Links between circulation types and precipitation over Spain (2010) — 50 citations
• ENSEMBLES: A new multi‐model ensemble for seasonal‐to‐annual predictions—Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs (2009) — 283 citations
• Stochastic parametrization and model uncertainty (2009) — 322 citations
• Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales (2008) — 719 citations
• Probabilistic simulations of crop yield over western India using the DEMETER seasonal hindcast ensembles (2005) — 123 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
• Forecast calibration and combination: A simple Bayesian approach for ENSO (2004) — 111 citations
• DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER) (2004) — 936 citations
• Multi-model seasonal hindcasts over the Euro-Atlantic: skill scores and dynamic features (2000) — 105 citations