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Project Ideas for Bachelor of Science in Atmospheric Sciences

A science-based program focused on weather prediction, climate modeling, and understanding Earth’s atmospheric systems.

🏛 Introduction

Penn State’s BS in Atmospheric Sciences trains students to study and predict atmospheric phenomena—from thunderstorms and hurricanes to long-term climate shifts. The program blends meteorology, physics, environmental modeling, and data analysis, preparing students for careers in weather forecasting, climate research, and environmental monitoring. Students work with state-of-the-art radar systems, satellite data, and high-performance computing to simulate weather systems and understand the atmospheric processes shaping our world.

💡 Suggested Project Titles

Developing a real-time lightning strike tracking dashboard

Simulating hurricane formation using numerical weather prediction models

Analyzing temperature anomalies from historical satellite data

Designing a school-based early warning system for severe weather

Evaluating urban heat island intensity across city zones

Studying jet stream variability and its global effects

Predicting tornado outbreaks using machine learning classifiers

Validation of radar-derived rainfall estimates in mountainous regions

Modeling greenhouse gas dynamics in polar climates

Creating educational visualizations of global wind circulation

Impact analysis of climate change on Pennsylvania’s precipitation patterns

Designing a mobile app for hyperlocal weather forecasts

Monitoring aerosol distribution and air quality indices

Assessment of climate-induced wildfire risk in dry regions

Radiative forcing comparison among greenhouse gases

GIS-based flood hazard zone mapping using rainfall models

Tracking vertical motion in thunderstorms with dual-polarization radar

Climate scenario projections for regional agriculture

Analyzing stratospheric ozone depletion trends

Building a dataset for real-time weather tweet classification

Forecast the Future at Penn State

Study the atmosphere, build climate models, and become a leader in environmental prediction and resilience.

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