World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
9894
World Ranking
5489
National Ranking
420

Timothy N. Stockdale 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 Timothy N. Stockdale 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 88 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Timothy N. Stockdale 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 Timothy N. Stockdale 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 48 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Climatology
  • Meteorology
  • Climate change

His scientific interests lie mostly in Climatology, Meteorology, Climate change, Predictability and Atmosphere. His Climatology research includes themes of Albedo and Error detection and correction. His study in the field of Numerical weather prediction and Forecast verification is also linked to topics like Lead time, Conceptual model and Computer simulation.

His Predictability research overlaps with other disciplines such as Sea surface temperature, Forecast skill and Probabilistic logic. His work deals with themes such as IPCC Fifth Assessment Report, Greenhouse gas, Transient climate simulation and Indian Ocean Dipole, which intersect with Forecast skill. Timothy N. Stockdale interconnects General Circulation Model, Oceanography and Teleconnection in the investigation of issues within Atmosphere.

His most cited work include:

  • Decadal Prediction: Can It Be Skillful? (531 citations)
  • UNDERSTANDING EL NINO IN OCEAN-ATMOSPHERE GENERAL CIRCULATION MODELS : Progress and Challenges (415 citations)
  • ERA-Interim/Land: a global land surface reanalysis data set (326 citations)

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

The scientist’s investigation covers issues in Climatology, Meteorology, Predictability, Forecast skill and Teleconnection. Climatology is closely attributed to Precipitation in his work. His work in the fields of Data assimilation, Numerical weather prediction and Forecast verification overlaps with other areas such as Statistical model.

His Forecast skill research is multidisciplinary, relying on both Atmosphere, Seasonal forecasting, Tropical cyclone and Seasonal cycle. His Teleconnection study incorporates themes from North Atlantic oscillation and Extratropical cyclone. His work on Coupled model intercomparison project, General Circulation Model and Climate model as part of general Climate change research is frequently linked to Environmental resource management, bridging the gap between disciplines.

He most often published in these fields:

  • Climatology (87.84%)
  • Meteorology (28.38%)
  • Predictability (27.03%)

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

  • Climatology (87.84%)
  • Stratosphere (10.81%)
  • Quasi-biennial oscillation (10.81%)

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

Timothy N. Stockdale spends much of his time researching Climatology, Stratosphere, Quasi-biennial oscillation, Teleconnection and Seasonal forecasting. In the subject of general Climatology, his work in Troposphere and El Niño Southern Oscillation is often linked to Predictability, Range and Index, thereby combining diverse domains of study. His Stratosphere research incorporates themes from Northern Hemisphere and Forcing.

Timothy N. Stockdale combines subjects such as General Circulation Model, Climate change, Kelvin wave and Tropical wave with his study of Quasi-biennial oscillation. He has included themes like State, Boundary current and Tropopause in his Teleconnection study. His work is dedicated to discovering how Seasonal forecasting, Precipitation are connected with Monsoon and other disciplines.

Between 2017 and 2021, his most popular works were:

  • SEAS5: the new ECMWF seasonal forecast system (111 citations)
  • Identifying causes of Western Pacific ITCZ drift in ECMWF System 4 hindcasts (16 citations)
  • How confident are predictability estimates of the winter North Atlantic Oscillation (13 citations)

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

  • Climatology
  • Meteorology
  • Climate change

His main research concerns Climatology, Stratosphere, Quasi-biennial oscillation, Hindcast and Troposphere. His research integrates issues of General Circulation Model and Intertropical Convergence Zone in his study of Climatology. His General Circulation Model research is included under the broader classification of Climate change.

His research in Intertropical Convergence Zone intersects with topics in Wind stress, Atmospheric sciences, Baroclinity and Climate model. His Ensemble average research is multidisciplinary, incorporating elements of North Atlantic oscillation and The arctic. His studies in Boundary current integrate themes in fields like Forecast skill, Teleconnection, Extratropical cyclone and Tropopause.

Best Publications

  • Decadal Prediction: Can It Be Skillful?

    Gerald A. Meehl;Lisa M. Goddard;James Murphy;Ronald J. Stouffer

  • The Seasonal Cycle over the Tropical Pacific in Coupled Ocean Atmosphere General Circulation Models

    C.R. Mechoso;A.W. Robertson;N. Barth;M.K. Davey

  • UNDERSTANDING EL NINO IN OCEAN-ATMOSPHERE GENERAL CIRCULATION MODELS : Progress and Challenges

    Eric Guilyardi;Andrew Wittenberg;Alexey Fedorov;Matthew Collins

  • SEAS5: the new ECMWF seasonal forecast system

    Stephanie J. Johnson;Timothy N. Stockdale;Laura Ferranti;Magdalena A. Balmaseda

  • ERA-Interim/Land: a global land surface reanalysis data set

    G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta

  • A Summary of the CMIP5 Experiment Design

    Karl E. Taylor;Ronald J. Stouffer;Gerald A. Meehl;Peter Cox

  • A verification framework for interannual-to-decadal predictions experiments

    L. Goddard;A. Kumar;A. Solomon;D. Smith

  • Global seasonal rainfall forecasts using a coupled ocean–atmosphere model

    T. N. Stockdale;D. L. T. Anderson;J. O. S. Alves;M. A. Balmaseda

  • Revision of convection, radiation and cloud schemes in the ECMWF integrated forecasting system

    D. Gregory;J.-J. Morcrette;C. Jakob;A. C. M. Beljaars

  • On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model

    G. Balsamo;R. Salgado;E. Dutra;S. Boussetta

  • DISTINGUISHING THE ROLES OF NATURAL AND ANTHROPOGENICALLY FORCED DECADAL CLIMATE VARIABILITY Implications for Prediction

    Amy Solomon;Lisa M. Goddard;Arun Kumar;James Carton

  • ECMWF seasonal forecast system 3 and its prediction of sea surface temperature

    Timothy N. Stockdale;David L. T. Anderson;Magdalena A. Balmaseda;Francisco Doblas-Reyes

  • Predictability of the quasi‐biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales

    Adam A. Scaife;Maria Athanassiadou;Martin Andrews;Alberto Arribas

  • Tropical Atlantic SST Prediction with Coupled Ocean–Atmosphere GCMs

    Timothy N. Stockdale;Magdalena A. Balmaseda;Arthur Vidard

  • Seasonal Forecasting of Tropical Storms Using Coupled GCM Integrations

    Frédéric Vitart;Timothy N. Stockdale

  • Coupled Ocean–Atmosphere Forecasts in the Presence of Climate Drift

    Timothy N. Stockdale

  • Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years

    Geert Jan van Oldenborgh;Magdalena A. Balmaseda;Laura Ferranti;Timothy N. Stockdale

  • Seasonal Forecasting of Tropical Cyclone Landfall over Mozambique

    Frédéric Vitart;David Anderson;Tim Stockdale

  • The Climate-system Historical Forecast Project: do stratosphere-resolving models make better seasonal climate predictions in boreal winter?

    Amy H. Butler;Amy H. Butler;Alberto Arribas;Maria Athanassiadou;Johanna Baehr

  • Atmospheric initial conditions and the predictability of the Arctic Oscillation

    Timothy N. Stockdale;Franco Molteni;Laura Ferranti

  • Evaluation of the Quasi‐Biennial Oscillation in global climate models for the SPARC QBO‐initiative

    A. C. Bushell;J. A. Anstey;N. Butchart;Y. Kawatani

  • Understanding El Niño in Ocean-Atmosphere General Circulation Models: progress and challenges

    E. Guilyardi;A. Wittenberg;A. Fedorov;M. Collins

Frequent Co-Authors

Magdalena Balmaseda
Magdalena Balmaseda European Centre for Medium-Range Weather Forecasts
David L. T. Anderson
David L. T. Anderson European Centre for Medium-Range Weather Forecasts
Antje Weisheimer
Antje Weisheimer University of Oxford
Frederic Vitart
Frederic Vitart European Centre for Medium-Range Weather Forecasts
Adam A. Scaife
Adam A. Scaife Met Office
Franco Molteni
Franco Molteni European Centre for Medium-Range Weather Forecasts
John F. Scinocca
John F. Scinocca University of Victoria
Tim Palmer
Tim Palmer University of Oxford
Ben P. Kirtman
Ben P. Kirtman University of Miami
Geert Jan van Oldenborgh
Geert Jan van Oldenborgh Royal Netherlands Meteorological Institute

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