World's Best Scientists 2026 revealed!
David M. H. Sexton

David M. H. Sexton

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
14096
World Ranking
6592
National Ranking
514

David M. H. Sexton 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 David M. H. Sexton 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: 83 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

David M. H. Sexton 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 David M. H. Sexton 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: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

David M. H. Sexton is affiliated with the Met Office in the United Kingdom and has contributed to research primarily in the fields of Environmental Science and Earth and Planetary Sciences. Their work spans several subfields including Global and Planetary Change, Atmospheric Science, Oceanography, Environmental Engineering, and Health, Toxicology and Mutagenesis.

The scientist's research topics focus on climate variability and models, meteorological phenomena and simulations, atmospheric chemistry and aerosols, atmospheric and environmental gas dynamics, oceanographic and atmospheric processes, atmospheric aerosols and clouds, and tropical and extratropical cyclones research.

Frequent publication venues for Sexton's work include Climate Dynamics, Atmospheric Chemistry and Physics, Zenodo (CERN European Organization for Nuclear Research), Weather, and Geophysical Research Letters.

Recent papers by David M. H. Sexton include:

  • Increasing precipitation variability on daily-to-multiyear time scales in a warmer world, 2021, Science Advances
  • Trends in the atmospheric jet streams are emerging in observations and could be linked to tropical warming, 2023, Communications Earth & Environment
  • A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations, 2021, Climate Dynamics
  • A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 2: global performance and future changes, 2021, Climate Dynamics
  • Dynamical Differences Between Short and Long Blocks in the Northern Hemisphere, 2021, Journal of Geophysical Research Atmospheres

Their frequent co-authors include John W. Rostron, Kalli Furtado, C. McSweeney, Kuniko Yamazaki, and Leighton A. Regayre. These collaborative relationships reflect ongoing contributions to climate and atmospheric science research communities.

Best Publications

  • Quantification of modelling uncertainties in a large ensemble of climate change simulations

    James M. Murphy;David M. H. Sexton;David N. Barnett;Gareth S. Jones

  • Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

    David A. Stainforth;T. Aina;C. Christensen;M. Collins

  • UK Climate Projections Science Report: Climate Change projections

    J.M. Murphy;D.M.H. Sexton;G.J. Jenkins;B.B.B. Booth

  • Projected increase in continental runoff due to plant responses to increasing carbon dioxide

    Richard A. Betts;Olivier Boucher;Matthew Collins;Peter M. Cox;Peter M. Cox

  • Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios

    T.C. Johns;J.M. Gregory;W.J. Ingram;C.E. Johnson

  • The new hadley centre climate model (HadGEM1) : Evaluation of coupled simulations

    T. C. Johns;C. F. Durman;H. T. Banks;M. J. Roberts

  • Global temperature change and its uncertainties since 1861

    C K Folland;N A Rayner;S J Brown;T M Smith

  • UK Climate Projections Briefing Report

    Geoff J Jenkins;James M Murphy;David M Sexton;Jason A Lowe

  • Comparison of Modeled and Observed Trends in Indices of Daily Climate Extremes

    Dmitry Kiktev;David M. H. Sexton;Lisa Alexander;Chris K. Folland

  • Towards quantifying uncertainty in transient climate change

    Matthew Collins;Ben B. B. Booth;Glen R. Harris;James M. Murphy

  • On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles

    Mark J. Webb;C. A. Senior;D. M.H. Sexton;W. J. Ingram

  • A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles

    J.M Murphy;B.B.B Booth;M Collins;G.R Harris

  • Estimation of natural and anthropogenic contributions to twentieth century temperature change

    Simon F. B. Tett;Gareth S. Jones;Peter A. Stott;David C. Hill;David C. Hill

  • Mechanisms for the land/sea warming contrast exhibited by simulations of climate change

    Manoj M. Joshi;Manoj M. Joshi;Jonathan M. Gregory;Jonathan M. Gregory;Mark J. Webb;David M. H. Sexton

  • Increasing precipitation variability on daily-to-multiyear time scales in a warmer world.

    Wenxia Zhang;Kalli Furtado;Peili Wu;Tianjun Zhou

  • Climate model errors, feedbacks and forcings: a comparison of perturbed physics and multi-model ensembles

    Matthew Collins;Ben B. B. Booth;B. Bhaskaran;Glen R. Harris

  • Multivariate probabilistic projections using imperfect climate models part I: outline of methodology

    David M. H. Sexton;James M. Murphy;Mat Collins;Mark J. Webb

  • Analyzing the Climate Sensitivity of the HadSM3 Climate Model Using Ensembles from Different but Related Experiments

    Jonathan Rougier;David M. H Sexton;James M. Murphy;David A. Stainforth

  • A new global gridded radiosonde temperature data base and recent temperature trends

    D. E. Parker;M. Gordon;D. P. N. Cullum;D. M. H. Sexton

  • Revised “LEPS” Scores for Assessing Climate Model Simulations and Long-Range Forecasts

    J. M. Potts;C. K. Folland;I. T. Jolliffe;D. Sexton

Frequent Co-Authors

Matthew Collins
Matthew Collins University of Exeter
Mark J. Webb
Mark J. Webb Met Office
Jonathan M. Gregory
Jonathan M. Gregory University of Reading
William Ingram
William Ingram University of Oxford
Myles R. Allen
Myles R. Allen University of Oxford
Richard Betts
Richard Betts University of Exeter
Kenneth S. Carslaw
Kenneth S. Carslaw University of Leeds

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