Smokelyze

Advanced Spatiotemporal Analytics for Wildfire Smoke & Air Quality

The Smokelyze app was developed by Haebum Lee in the Jaffe research group at the University of Washington (UW), with support from the NASA RAZOR-AQ project. Please send comments on Smokelyze via our Contact page. *If you experience graphics-related issues in Chrome, please try switching to a browser other than Chrome.

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Project Leadership

Principal Investigator

Dan Jaffe, Ph.D.

Professor at the University of Washington Bothell's School of STEM and the Department of Atmospheric Sciences at the University of Washington Seattle. A leading expert in atmospheric chemistry, his research focuses on the long-range transport of air pollution and the impact of wildfires on urban air quality and public health.

Lead Developer & Researcher

Haebum Lee, Ph.D.

Postdoctoral position at the Jaffe Research Group, the University of Washington. Specializing in environmental data science and spatiotemporal analytics, he is the lead architect of the Smokelyze platform, dedicated to translating complex wildfire data into actionable insights.

Funding & Support

Smokelyze is primarily supported by research funding from NASA. This collaboration between academic institutions and federal agencies enables us to develop advanced tools for protecting public health and managing air quality impacts.

NASA RAZOR-AQ (2025–2028): Rapid Assessment of Smoke impacts on OZone and PM for all U.S. Regions.
Learn more on the Jaffe Group Website →

Mission & Purpose

Smokelyze (formerly PMO3smokeTool) was created to analyze the impact of wild and prescribed fire smoke on air quality across the entire United States. We specifically focus on health-hazardous concentrations of Ozone (O₃) and Fine Particulate Matter (PM_2.5) using data-driven insights.

Leveraging the Generalized Additive Model (GAM) framework established in our previous studies, Smokelyze enables the disentanglement of the interaction between meteorological factors and wildfire impacts.

Our objective is to provide scientifically valid analyses to government agencies and environmental researchers for health and policy insights into the factors that drive smoke’s impact on regional air quality.

Integrated Framework

Multi-Source Data Synthesis (One-stop shop)

Smoke is complex. It comes from many types of fires and interacts with human pollutants and weather. Most smoke chemistry research uses complex, labor-intensive and highly uncertain chemical transport models to try to understand the impact of smoke on air quality and health. Using this traditional approach, smoke analyses and publications take years to complete.

Smokelyze eliminates this analytical friction by unifying critical data streams—from ground-level observations to satellite detections and machine learning/advanced statistical modeling—into a single, seamless analytical environment.

Unified Data Access: Seamless integration of multi-source data within a single dashboard.

Spatiotemporal Synchronization: Automated alignment of multiple and diverse datasets across time and space.

Map Dashboards

Smokelyze Map

Check out the latest wildfire and smoke plume status including the latest research

PMO3smokeTool (Legacy: R shiny version)

Explore interactive maps based on the latest research on wildfires and air pollutants

Core Features

Visual & Mapping Tools

Visualize published research models (GAM) via interactive mapping, revealing the invisible impacts of smoke on air quality (PM2.5 and O3)

Integrated Data Pipeline

Consolidate multifaceted data streams—from AQS ground stations to satellite detection—into a single, unified framework.

Statistical Tools

Uncover patterns using interactive data drawers, featuring synchronized tables and useful plots for multi-dimensional analysis.

Collaborative Tools

Utilize MapPost to pinpoint observations and share insights or feedback via geospatial markers and real-time commentary directly on the map.

Effortless Exploration

Get Started in Seconds

Smokelyze is built for speed and simplicity. No complex setup required—just open the map and start exploring.

Instant Visualization: Activate layers with a single click to see smoke impacts on air quality.

Seamless Timeline: Rapidly navigate through multiple years of historical data through an intuitive temporal toolbar.

One-Click Insights: Access statistical tables and charts instantly from the integrated data drawer.

Integrated Exports: Sign in to easily access high-resolution map captures, CSV datasets, AQS-level ground station data, and specialized state-level reports.

Seamless Accessibility

Optimized for Every Screen

Desktop Experience

Designed for professional research and deep-dive analysis. Take full advantage of wide-screen layouts, multi-dimensional charts, and high-resolution spatial data visualization.

Mobile-Responsive Access

Facilitating access to research-grade spatial data beyond the desktop. Our responsive architecture ensures the efficient visualization of wildfire smoke impacts and air quality observations across all mobile platforms, providing reliable data access anywhere.

No installation required — purely web-based and ready for any device.

Data Pipeline

R code Modular Docker Google Cloud Run Google Cloud Storage

Smokelyze operates on a highly modularized, cloud-native architecture. Each stage of the data lifecycle—from ingestion to advanced statistical modeling—is encapsulated in separate Docker containers, ensuring maximum scalability and reliability.

Multi-Source Acquisition: Automated tasks fetch real-time data from AirNow stations, satellite-detected HMS smoke polygons, and integrated wildfire incident news.

Modeling & Prediction: Periodic R scripts automatically collect meteological and satellite data via Docker to run trained GAM models for future smoke impact analysis.

Automated Delivery: Processed datasets are compressed and deployed to Google Cloud Storage (GCS) buckets, ready for instant retrieval by the Map rendering engine.

Our Commitment

Smokelyze is a community-driven project dedicated to providing high quality scientific analytics free and accessible to all

Our methodologies will be published in peer reviewed scientific journals as quickly as feasible.

We will make continuous improvements in our products and publish updates in the peer reviewed literature.

We are committed to the long-term sustainability of this platform for the benefit of all researchers, the public and government agencies.

Please note that while we make every effort to provide high quality and accurate analyses, we provide no guarantee as to the accuracy of this information.

Ready?

Step into our interactive dashboard and explore wildfire smoke analytics.

Explore Interactive Map