World's Best Scientists 2026 revealed!
William J. Merryfield

William J. Merryfield

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
9951
World Ranking
5484
National Ranking
231

William J. Merryfield 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 William J. Merryfield 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: 138 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

William J. Merryfield 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 William J. Merryfield 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: 48 D-Index — 44th percentile

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

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

Overview

William J. Merryfield is affiliated with the University of Victoria in Canada and has a research focus primarily within Earth and Planetary Sciences and Environmental Science. Their work spans several subfields, including Atmospheric Science, Global and Planetary Change, Oceanography, Water Science and Technology, and Environmental Engineering.

The main topics of research covered by William J. Merryfield include:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Arctic and Antarctic ice dynamics
  • Tropical and Extratropical Cyclones Research
  • Climate change and permafrost
  • Atmospheric Ozone and Climate

William J. Merryfield's recent papers demonstrate active contributions to subseasonal to decadal prediction and climate modeling. Notable publications include:

  • 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
  • Initialized Earth System prediction from subseasonal to decadal timescales, 2021, Nature Reviews Earth & Environment
  • Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions, 2021, Bulletin of the American Meteorological Society
  • The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), 2020, Weather and Forecasting

Their frequent co-authors include Doug Smith, Reinel Sospedra-Alfonso, Francisco J. Doblas-Reyes, Roberto Bilbao, and Stephen Yeager, showcasing a collaborative approach across multiple research papers.

William J. Merryfield frequently publishes in several scientific venues, with the highest number of publications appearing in the Bulletin of the American Meteorological Society, followed by the Journal of Climate, Weather and Forecasting, Geoscientific Model Development, and Frontiers in Climate.

Best Publications

  • The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction

    Ben P. Kirtman;Dughong Min;Johnna M. Infanti;James L. Kinter

  • Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases

    V. K. Arora;J. F. Scinocca;G. J. Boer;J. R. Christian;J. R. Christian

  • 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

  • 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

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

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

  • The Canadian Seasonal to Interannual Prediction System. Part I: Models and Initialization

    William J. Merryfield;Woo Sung Lee;George J. Boer;Viatcheslav V. Kharin

  • Robust skill of decadal climate predictions

    D. M. Smith;R. Eade;A. A. Scaife;A. A. Scaife;L.-P. Caron

  • North Atlantic climate far more predictable than models imply

    Doug M. Smith;A. Scaife;A. Scaife;Rosie Eade;P. Athanasiadis

  • Current and emerging developments in subseasonal to decadal prediction

    William J. Merryfield;Johanna Baehr;Lauriane Batté;Emily J. Becker

  • Ongoing climate change following a complete cessation of carbon dioxide emissions

    Nathan P. Gillett;Vivek K. Arora;Kirsten Zickfeld;Shawn J. Marshall

  • Initialized Earth System prediction from subseasonal to decadal timescales

    Gerald A. Meehl;Jadwiga H. Richter;Haiyan Teng;Antonietta Capotondi;Antonietta Capotondi

  • Changes to ENSO under CO2 Doubling in a Multimodel Ensemble

    William J. Merryfield

  • Advances in the application and utility of subseasonal-to-seasonal predictions

    Christopher J. White;Daniela I. V. Domeisen;Nachiketa Acharya;Elijah A. Adefisan

  • The Effect of Terrestrial Photosynthesis Down Regulation on the Twentieth-Century Carbon Budget Simulated with the CCCma Earth System Model

    V. K. Arora;G. J. Boer;J. R. Christian;C. L. Curry

  • Seasonal forecast skill of Arctic sea ice area in a dynamical forecast system

    M. Sigmond;J. C. Fyfe;G. M. Flato;V. V. Kharin

  • Origin of Thermohaline Staircases

    William J. Merryfield

  • Real-time multi-model decadal climate predictions

    Doug M. Smith;Adam A. Scaife;George J. Boer;Mihaela Caian

  • Statistical adjustment of decadal predictions in a changing climate

    V. V. Kharin;G. J. Boer;W. J. Merryfield;J. F. Scinocca

  • 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

  • On the Effect of Topographically Enhanced Mixing on the Global Ocean Circulation

    O. A. Saenko;W. J. Merryfield

  • A Global Ocean Model with Double-Diffusive Mixing

    William J. Merryfield;Greg Holloway;Ann E. Gargett

Frequent Co-Authors

Viatcheslav V. Kharin
Viatcheslav V. Kharin Environment and Climate Change Canada
George J. Boer
George J. Boer Environment and Climate Change Canada
Francisco J. Doblas-Reyes
Francisco J. Doblas-Reyes Barcelona Supercomputing Center
Adam A. Scaife
Adam A. Scaife Met Office
Wolfgang A. Müller
Wolfgang A. Müller Max Planck Society
Doug Smith
Doug Smith Met Office
John F. Scinocca
John F. Scinocca University of Victoria
Gokhan Danabasoglu
Gokhan Danabasoglu National Center for Atmospheric Research
Ben P. Kirtman
Ben P. Kirtman University of Miami
James R. Christian
James R. Christian Fisheries and Oceans Canada

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