LabCompass

Yog Aryal

Environmental Science · Indiana University

OpenAlex ORCID
Climate variability and modelsHydrology and Drought AnalysisAtmospheric aerosols and cloudsAtmospheric chemistry and aerosolsHydrology and Watershed Management Studies

Publications

25

Citations

297

Est. group size

—

Recurring co-author estimate

Active years

12

Publishing since 2014

Research summary
AI-generated

Yog Aryal studies how climate variability affects water resources and the atmosphere, using computer models and machine learning to understand droughts, streamflow, dust emissions, and snow-related runoff. Recent work focuses on rain-on-snow events in the Great Lakes region and their effects on stream temperature and low-flow conditions. The research often applies artificial intelligence and satellite/remote-sensing data to environmental prediction problems.

Drought analysis and climate modelsRain-on-snow events and streamflowAtmospheric dust predictionMachine learning and explainable AI for hydrologyWatershed and water availability studies

Publication activity grew through the early 2020s, dipped around 2023-2024, and reached its highest count in 2025, averaging about 2.2 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
172018: 1 publication182019: 2 publications192020: 3 publications202021: 4 publications212022: 4 publications222023: 2 publications23242025: 5 publications52526
Recent publications
Publishes in
  • AGU Fall Meeting Abstracts×3
  • Journal of Hydrology×2
  • The Science of The Total Environment×1
  • Journal of Geophysical Research Atmospheres×1
  • Journal of Geophysical Research Earth Surface×1

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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