World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
59
Citations
17498
World Ranking
3033
National Ranking
1184

David Gochis 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 Gochis 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: 277 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

David Gochis 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 Gochis 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: 59 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

David Gochis is affiliated with the National Center for Atmospheric Research in the United States. Their research primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a significant focus on Water Science and Technology and Atmospheric Science.

Their work encompasses a broad range of topics, including:

  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Cryospheric Studies and Observations
  • Meteorological Phenomena and Simulations
  • Climate Change and Permafrost
  • Climate Variability and Models
  • Plant Water Relations and Carbon Dynamics

David Gochis has contributed to several notable publications in the atmospheric and hydrologic sciences arenas. Among their recent papers are:

  • "Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach," 2020, published in Scientific Data
  • "A Storm Safari in Subtropical South America: Proyecto RELAMPAGO," 2021, Bulletin of the American Meteorological Society
  • "Continental Hydrologic Intercomparison Project, Phase 1: A Large-Scale Hydrologic Model Comparison Over the Continental United States," 2021, Water Resources Research
  • "NOAA's National Water Model: Advancing operational hydrology through continental-scale modeling," 2024, JAWRA Journal of the American Water Resources Association
  • "CONUS404: The NCAR-USGS 4-km Long-Term Regional Hydroclimate Reanalysis over the CONUS," 2023, Bulletin of the American Meteorological Society

The venues where David Gochis most frequently publishes include:

  • Bulletin of the American Meteorological Society
  • Water Resources Research
  • JAWRA Journal of the American Water Resources Association
  • Journal of Hydrometeorology
  • Hydrology and Earth System Sciences

Collaboration is a significant aspect of their research approach. Among frequent co-authors are:

  • A. L. Dugger (15 joint works)
  • Fei Chen (11 joint works)
  • Michael Barlage (10 joint works)
  • Cenlin He (10 joint works)
  • Laura Read (9 joint works)

Best Publications

  • The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions

    Jordan G. Powers;Joseph B. Klemp;William C. Skamarock;Christopher A. Davis

  • Toward a unified view of the American monsoon systems

    Carolina Vera;W. Higgins;J. Amador;T. Ambrizzi

  • Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water

    Eric F. Wood;Joshua K. Roundy;Tara J. Troy;L. P. H. van Beek

  • How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed

    Roy Rasmussen;Bruce Baker;John Kochendorfer;Tilden Meyers

  • An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

    Simone Fatichi;Enrique R. Vivoni;Fred L. Ogden;Valeriy Y. Ivanov

  • Improving the representation of hydrologic processes in Earth System Models

    Martyn P. Clark;Ying Fan;David M. Lawrence;Jennifer C. Adam

  • Continental-scale convection-permitting modeling of the current and future climate of North America

    Changhai Liu;Kyoko Ikeda;Roy Rasmussen;Mike Barlage

  • High resolution coupled climate-runoff simulations of seasonal snowfall over Colorado: A process study of current and warmer climate

    Roy Rasmussen;Changhai Liu;Kyoko Ikeda;David Gochis

  • A unified approach for process-based hydrologic modeling: 1. Modeling concept

    Martyn P. Clark;Bart Nijssen;Jessica D. Lundquist;Dmitri Kavetski

  • Implications of projected climate change for groundwater recharge in the western United States

    Thomas Meixner;Andrew H. Manning;David A. Stonestrom;Diana M. Allen

  • High concentrations of biological aerosol particles and ice nuclei during and after rain

    J. A. Huffman;J. A. Huffman;A. J. Prenni;P. J. DeMott;C. Pohlker

  • Hyper-resolution global hydrological modelling: what is next?

    Marc F. P. Bierkens;Victoria A. Bell;Peter Burek;Nathaniel Chaney

  • Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall

    I. Yucel;A. Onen;K.K. Yilmaz;D.J. Gochis

  • A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

    Jon D. Pelletier;Patrick D. Broxton;Pieter Hazenberg;Xubin Zeng

  • Cascading impacts of bark beetle‐caused tree mortality on coupled biogeophysical and biogeochemical processes

    Steven L. Edburg;Jeffrey A. Hicke;Paul D. Brooks;Elise G. Pendall

  • The Great Colorado Flood of September 2013

    David Gochis;Russ Schumacher;Katja Friedrich;Nolan Doesken

  • A Comparison of Statistical and Dynamical Downscaling of Winter Precipitation over Complex Terrain

    Ethan D. Gutmann;Roy M. Rasmussen;Changhai Liu;Kyoko Ikeda

  • Climate Change Impacts on the Water Balance of the Colorado Headwaters: High-Resolution Regional Climate Model Simulations

    Roy Rasmussen;Kyoko Ikeda;Changhai Liu;David Gochis

  • Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network

    Yang Hong;David Gochis;Jiang-tao Cheng;Kuo-lin Hsu

  • A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies

    Martyn P. Clark;Bart Nijssen;Jessica D. Lundquist;Dmitri Kavetski

  • The ``Year'' of Tropical Convection (May 2008-April 2010): Climate Variability and Weather Highlights

    Duane E. Waliser;Mitchell W. Moncrieff;David Burridge;Andreas H. Fink

Frequent Co-Authors

Ethan Gutmann
Ethan Gutmann National Center for Atmospheric Research
Roy Rasmussen
Roy Rasmussen National Center for Atmospheric Research
Enrique R. Vivoni
Enrique R. Vivoni Arizona State University
Joel A. Biederman
Joel A. Biederman United States Department of Agriculture
Reed M. Maxwell
Reed M. Maxwell Princeton University
Kyoko Ikeda
Kyoko Ikeda National Center for Atmospheric Research
David Yates
David Yates National Center for Atmospheric Research
Michael Barlage
Michael Barlage National Center for Atmospheric Research
Paul D. Brooks
Paul D. Brooks University of Utah
Adrian A. Harpold
Adrian A. Harpold University of Nevada Reno

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