H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences H-index 61 Citations 15,056 214 World Ranking 1051 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Climate change
  • Climatology

Climatology, Forecast skill, Predictability, Meteorology and Climate change are his primary areas of study. His study on Sea surface temperature is often connected to Initialization as part of broader study in Climatology. The study incorporates disciplines such as Quantitative precipitation forecast, Range, Anomaly and Econometrics in addition to Forecast skill.

Francisco J. Doblas-Reyes interconnects Atmosphere, Monsoon, Teleconnection and Sea ice in the investigation of issues within Predictability. His Meteorology research incorporates elements of Probabilistic logic and Consensus forecast. His Climate model research integrates issues from Global warming and Ensemble forecasting.

His most cited work include:

  • DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER) (785 citations)
  • Fundamental challenge in simulation and prediction of summer monsoon rainfall (501 citations)
  • Near-term climate change: Projections and predictability (487 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Climatology, Meteorology, Forecast skill, Predictability and Climate model. The Sea surface temperature research Francisco J. Doblas-Reyes does as part of his general Climatology study is frequently linked to other disciplines of science, such as Initialization, therefore creating a link between diverse domains of science. Francisco J. Doblas-Reyes focuses mostly in the field of Meteorology, narrowing it down to topics relating to Probabilistic logic and, in certain cases, Ensemble forecasting.

His research integrates issues of Anomaly and Econometrics in his study of Forecast skill. His work carried out in the field of Predictability brings together such families of science as Sea ice and Hindcast. His Climate model research focuses on Northern Hemisphere and how it relates to Geopotential height.

He most often published in these fields:

  • Climatology (80.75%)
  • Meteorology (24.84%)
  • Forecast skill (26.71%)

What were the highlights of his more recent work (between 2017-2021)?

  • Climatology (80.75%)
  • Climate model (27.33%)
  • Predictability (27.64%)

In recent papers he was focusing on the following fields of study:

Francisco J. Doblas-Reyes focuses on Climatology, Climate model, Predictability, Forecast skill and Wind speed. His Climatology research is multidisciplinary, incorporating elements of Climate change and Precipitation. Francisco J. Doblas-Reyes has included themes like Mode, Environmental planning, Northern Hemisphere, Teleconnection and Earth system science in his Climate model study.

His Predictability study integrates concerns from other disciplines, such as Hindcast and Climate services. The Forecast skill study combines topics in areas such as Biomass and Agricultural productivity. Francisco J. Doblas-Reyes combines subjects such as Natural resource economics and Energy market with his study of Wind speed.

Between 2017 and 2021, his most popular works were:

  • What global reanalysis best represents near surface winds (52 citations)
  • Robust skill of decadal climate predictions (38 citations)
  • Towards operational predictions of the near-term climate (37 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Climate change
  • Climatology

The scientist’s investigation covers issues in Climatology, Climate model, Forecast skill, Precipitation and Climate change. His Climatology research includes themes of Biomass and Predictability. The various areas that Francisco J. Doblas-Reyes examines in his Climate model study include Blocking, Earth system science and Environmental planning.

His study in Forecast skill is interdisciplinary in nature, drawing from both Agricultural productivity and Severe weather. Solar variation, Lead and Sea level is closely connected to Atmospheric circulation in his research, which is encompassed under the umbrella topic of Precipitation. His work deals with themes such as Errors-in-variables models, Weather and climate, Weather forecasting and Environmental resource management, which intersect with Climate change.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER)

T. N. Palmer;A. Alessandri;U. Andersen;P. Cantelaube.
Bulletin of the American Meteorological Society (2004)

1105 Citations

Near-term climate change:projections and predictability

Ben Kirtman;Scott B. Power;Akintayo John Adedoyin;George J. Boer.
(2013)

1050 Citations

The rationale behind the success of multi-model ensembles in seasonal forecasting – I. Basic concept

Renate Hagedorn;Francisco J. Doblas-Reyes;T. N. Palmer.
Tellus A (2005)

665 Citations

Fundamental challenge in simulation and prediction of summer monsoon rainfall

Bin Wang;Qinghua Ding;Xiouhua Fu;In-Sik Kang.
Geophysical Research Letters (2005)

595 Citations

Malaria early warnings based on seasonal climate forecasts from multi-model ensembles

M. C. Thomson;F. J. Doblas-Reyes;S. J. Mason;R. Hagedorn.
Nature (2006)

541 Citations

Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales

Peter Bechtold;Martin Köhler;Thomas Jung;Francisco Doblas‐Reyes.
Quarterly Journal of the Royal Meteorological Society (2008)

512 Citations

Decadal climate prediction: an update from the trenches

Gerald A. Meehl;Lisa Goddard;George Boer;Robert Burgman.
Bulletin of the American Meteorological Society (2014)

439 Citations

Contribution of land surface initialization to subseasonal forecast skill: first results from a multi-model experiment.

R. D. Koster;S. P.P. Mahanama;S. P.P. Mahanama;T.J. Yamada;T.J. Yamada;T.J. Yamada;Gianpaolo Balsamo.
Geophysical Research Letters (2010)

374 Citations

The rationale behind the success of multi-model ensembles in seasonal forecasting – II. Calibration and combination

Francisco J. Doblas‐Reyes;Renate Hagedorn;T. N. Palmer.
Tellus A (2005)

349 Citations

Stochastic parametrization and model uncertainty

T. N. Palmer;R. Buizza;F. Doblas-Reyes;Thomas Jung.
EPIC3ECMWF Technical Memorandum, 598, 42 p. (2009)

343 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Francisco J. Doblas-Reyes

Bin Wang

Bin Wang

University of Hawaii at Manoa

Publications: 84

Tim Palmer

Tim Palmer

University of Oxford

Publications: 83

Adam A. Scaife

Adam A. Scaife

University of Exeter

Publications: 78

Antje Weisheimer

Antje Weisheimer

University of Oxford

Publications: 70

Tianjun Zhou

Tianjun Zhou

Chinese Academy of Sciences

Publications: 51

Thomas Jung

Thomas Jung

Alfred Wegener Institute for Polar and Marine Research

Publications: 49

Noel Keenlyside

Noel Keenlyside

University of Bergen

Publications: 47

Fred Kucharski

Fred Kucharski

International Centre for Theoretical Physics

Publications: 47

Holger Pohlmann

Holger Pohlmann

Max Planck Society

Publications: 43

Magdalena Balmaseda

Magdalena Balmaseda

European Centre for Medium-Range Weather Forecasts

Publications: 42

Paul A. Dirmeyer

Paul A. Dirmeyer

George Mason University

Publications: 41

Frederic Vitart

Frederic Vitart

European Centre for Medium-Range Weather Forecasts

Publications: 40

Sonia I. Seneviratne

Sonia I. Seneviratne

ETH Zurich

Publications: 40

Doug Smith

Doug Smith

Met Office

Publications: 39

Michael K. Tippett

Michael K. Tippett

Columbia University

Publications: 38

Something went wrong. Please try again later.