LabCompass

Travis O’Brien

Environmental Science · Indiana University

OpenAlex ORCID
Climate variability and modelsMeteorological Phenomena and SimulationsTropical and Extratropical Cyclones ResearchHydrology and Drought AnalysisHydrological Forecasting Using AI

Publications

200

Citations

3,108

Est. group size

—

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Travis O'Brien studies the physics of weather and climate, with particular attention to extreme events such as atmospheric rivers (long, narrow bands of concentrated water vapor that carry moisture across regions), heatwaves, and heavy precipitation. A significant part of the work involves using machine learning and neural networks to improve weather forecasting and to detect and evaluate features in large climate datasets. The research also addresses how natural climate variability and human influences, like greenhouse gases and aerosols, affect rainfall patterns.

Atmospheric rivers and extreme precipitationMachine learning for weather and climate modelingDetection and attribution of climate changeFeature detection in large climate datasetsHeatwaves and extreme event analysis

Publication activity has been fairly steady over the past several years, averaging roughly 13 papers per year, after peaking around 2020.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 13.4/year recently
2017: 1 publication172018: 8 publications182019: 18 publications192020: 30 publications30202021: 13 publications212022: 15 publications222023: 14 publications232024: 20 publications242025: 14 publications252026: 4 publications26
Recent publications
Publishes in
  • Journal of Geophysical Research Atmospheres×13
  • Zenodo (CERN European Organization for Nuclear Research)×11
  • Climate Dynamics×9
  • AGU Fall Meeting Abstracts×9
  • Geoscientific model development×8

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 11, 2026.

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