LabCompass

Daniel T. Dawson

Earth and Planetary Sciences · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2005
Meteorological Phenomena and SimulationsClimate variability and modelsPrecipitation Measurement and AnalysisTropical and Extratropical Cyclones ResearchWind and Air Flow Studies

Publications

59

Citations

1,598

Est. group size

~2

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Daniel T. Dawson studies severe thunderstorms and tornadoes, using computer simulations and field observations to understand how factors like surface friction and storm-scale wind patterns affect tornado formation and intensification. His work also includes improving the mathematical representations (microphysics schemes) of rain, hail, and ice used in weather prediction models, and analyzing radar and rain-gauge data collected during field campaigns such as VORTEX-SE and PERiLS.

Severe thunderstorm and tornado formationNumerical simulation of supercell stormsRadar and precipitation measurement (polarimetric and disdrometer data)Cloud microphysics modeling (rain, hail, ice)Field campaigns for severe weather research

Publication output has fluctuated over the past decade, with a notable peak in 2020 and a smaller resurgence in 2025, rather than showing a steady or clearly growing trend.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 4 publications172018: 1 publication182019: 3 publications192020: 10 publications10202021: 2 publications212022: 1 publication222023: 2 publications232024: 2 publications242025: 5 publications252026: 2 publications26
Recent publications
Publishes in
  • Journal of the Atmospheric Sciences×5
  • Monthly Weather Review×5
  • Journal of Climate×3
  • AGU Fall Meeting Abstracts×3
  • Journal of Applied Meteorology and Climatology×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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