World's Best Scientists 2026 revealed!
Francisco J. Doblas-Reyes

Francisco J. Doblas-Reyes

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Environmental Sciences
Spain
2023

D-Index & Metrics

Environmental Sciences

D-Index
79
Citations
25545
World Ranking
1005
National Ranking
24

Francisco J. Doblas-Reyes publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Francisco J. Doblas-Reyes sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 339 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Francisco J. Doblas-Reyes D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Francisco J. Doblas-Reyes sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 79 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Spain Leader Award

Overview

Francisco J. Doblas-Reyes is affiliated with the Barcelona Supercomputing Center in Spain. Their research primarily focuses on environmental science and earth and planetary sciences, contributing substantially to the understanding of climate variability, meteorological phenomena, and atmospheric dynamics.

The scientist's work encompasses several main topics, including:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Hydrology and Drought Analysis
  • Oceanographic and Atmospheric Processes
  • Arctic and Antarctic ice dynamics
  • Plant Water Relations and Carbon Dynamics

They have published extensively in key subfields such as global and planetary change, atmospheric science, oceanography, water science and technology, and sociology and political science.

Frequent publication venues reflect the scientist's research scope, with multiple contributions to:

  • Climate Dynamics
  • Bulletin of the American Meteorological Society
  • Earth System Dynamics
  • Journal of Climate
  • Geoscientific Model Development

Among the recent papers authored or coauthored by Francisco J. Doblas-Reyes are:

  • The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 (2022), Geoscientific Model Development
  • Current and Emerging Developments in Subseasonal to Decadal Prediction (2020), Bulletin of the American Meteorological Society
  • North Atlantic climate far more predictable than models imply (2020), Nature
  • The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections (2022), Earth System Dynamics
  • Assessment of CMIP6 Performance and Projected Temperature and Precipitation Changes Over South America (2021), Earth Systems and Environment

Frequent collaborators include:

  • Markus G. Donat
  • Pablo Ortega
  • Nube González-Reviriego
  • Pierre-Antoine Bretonnière
  • Albert Soret

Best Publications

  • Near-term climate change: Projections and predictability

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

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

    T. N. Palmer;A. Alessandri;U. Andersen;P. Cantelaube

  • The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6

    Unknown

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

    Peter Bechtold;Martin Köhler;Thomas Jung;Francisco Doblas-Reyes

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

    Renate Hagedorn;Francisco J. Doblas-Reyes;T. N. Palmer

  • Fundamental challenge in simulation and prediction of summer monsoon rainfall

    Bin Wang;Qinghua Ding;Xiouhua Fu;In-Sik Kang

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

    M. C. Thomson;F. J. Doblas-Reyes;S. J. Mason;R. Hagedorn

  • Decadal Climate Prediction: An Update from the Trenches

    Gerald A. Meehl;Lisa Goddard;George Boer;Robert Burgman

  • The rationale behind the success of multi-model ensembles in seasonal forecasting-II

    Unknown

  • 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

  • Seasonal climate predictability and forecasting: status and prospects

    Francisco J. Doblas-Reyes;Javier García-Serrano;Fabian Lienert;Aida Pintó Biescas

  • The Decadal Climate Prediction Project (DCPP) contribution to CMIP6

    George J. Boer;Douglas M. Smith;Christophe Cassou;Francisco Doblas-Reyes

  • Stochastic parametrization and model uncertainty

    T. N. Palmer;R. Buizza;F. Doblas-Reyes;Thomas Jung

  • The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill

    R. D. Koster;S. P. P. Mahanama;S. P. P. Mahanama;S. P. P. Mahanama;T. J. Yamada;T. J. Yamada;T. J. Yamada;Gianpaolo Balsamo

  • Representing model uncertainty in weather and climate prediction

    T. N. Palmer;G. J. Shutts;R. Hagedorn;F. Doblas-Reyes

  • 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

  • What global reanalysis best represents near surface winds

    Jaume Ramon;Llorenç Lledó;Verónica Torralba;Albert Soret

  • Initialized near-term regional climate change prediction

    F. J. Doblas-Reyes;I. Andreu-Burillo;Y. Chikamoto;J. García-Serrano

  • Toward Seamless Prediction: Calibration of Climate Change Projections Using Seasonal Forecasts

    T. N. Palmer;F. J. Doblas-Reyes;A. Weisheimer;M. J. Rodwell

  • ENSEMBLES: a new multi-model ensemble for seasonal-to-annual predictions: Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs

    A. Weisheimer;F.J. Doblas-Reyes;T.N. Palmer;Andrea Alessandri

  • Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales

    Thomas Jung;Neil D. Gordon;Peter Bauer;David H. Bromwich

  • Explaining Extreme Events of 2012 from a Climate Perspective

    T.C. Peterson;L.V. Alexander;M.R. Allen;J.A. Anel;J.A. Anel

Frequent Co-Authors

Tim Palmer
Tim Palmer University of Oxford
Antje Weisheimer
Antje Weisheimer University of Oxford
François Massonnet
François Massonnet Université Catholique de Louvain
Adam A. Scaife
Adam A. Scaife Met Office
David B. Stephenson
David B. Stephenson University of Exeter
Michel Déqué
Michel Déqué Centre national de la recherche scientifique, CNRS
Magdalena Balmaseda
Magdalena Balmaseda European Centre for Medium-Range Weather Forecasts
Masahide Kimoto
Masahide Kimoto University of Tokyo
Wolfgang A. Müller
Wolfgang A. Müller Max Planck Society
Markus G. Donat
Markus G. Donat Barcelona Supercomputing Center

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