Research

Atmospheric science for low-visibility, aviation, and weather decision support

Research integrating observations, numerical modeling, and artificial intelligence to improve fog and visibility guidance, cloud and convective analysis, and weather information for aviation and uncrewed aircraft systems.

Core Research Themes

Scientific Focus Areas

Six complementary directions define the research program, from low-visibility sensing to cloud processes and data-intensive atmospheric applications.

Fog detection & visibility estimation

Camera imagery and weather observations for detecting fog and estimating operational visibility.

AI for weather forecasting

Machine-learning methods for short-term guidance, hazard prediction, and interpretable weather applications.

Cloud microphysics & weather modification

Cloud-process analysis, hail evaluation, and research supporting weather-modification assessment.

Cloud ceiling & UAS operations

Improving low-altitude cloud and visibility information for uncrewed aircraft operations.

Aerosols, wildfire impacts & air quality

Modeling and analysis of aerosol processes, wildfire effects, and air-quality impacts.

Data-rich atmospheric research

Scientific workflows that combine observations, modeling, data fusion, and reproducible analysis.

Current Work

Featured Research Projects

Examples of active directions across visibility, aviation weather, severe convection, and atmospheric data systems.

Camera-based fog and visibility AI

Machine-learning methods for camera-based fog detection and visibility estimation.

AeroVis and operational visibility nowcasting

Near-real-time approaches to visibility nowcasting for aviation and UAS environments.

Camera–METAR atmospheric databases

AI-ready datasets pairing camera imagery with METAR visibility and cloud-ceiling observations.

Thunderstorm nowcasting with WRF emulation

Machine-learning systems designed to emulate WRF guidance for short-term thunderstorm prediction.

Hail suppression evaluation in western North Dakota

Interpretable, statistics-driven methods for evaluating cloud-seeding effects on hail.

Applied atmospheric data workflows

Integrated use of observations, model outputs, and analytics for research and operational decision support.

Data Skills Pathway

Developing structured, data-rich experiential learning that connects students with authentic research problems, practical data analysis, and workforce-relevant skills.

Research Resources

Developed Databases & Research Tools

Public-facing resources developed to support atmospheric observations, data access, and camera-based visibility research.

UND Atmospheric Camera Observations

Access the UND atmospheric camera observation website and available camera data resources.

VisSense Cam

Explore the interactive camera-based visibility estimation demonstration developed from ongoing visibility and AI research.

Selected Talks

Research Presentations

Selected research overviews and presentations available from this site.

ATSC 100 Faculty Intros 2026

Faculty Introductions Fall 2026

Improved Nowcasting of Cloud Ceiling for UAS Operations using Surface Camera Images and Satellite Data

First Research Session of Future Aerospace Strategic Thinking (FAST)

Research Overview 2024

ATSC 500 – Intro to Research

Faculty Introductions – Short Research Overview 2025

ATSC 100 – Senior Projects

ATSC 391 Faculty Intros 2026

Faculty Introductions 2026