The Health and Air Quality Applied Sciences Team (HAQAST) works to connect NASA satellite data and products with public health experts and air quality managers. Our team of 14 PIs and 70+ total collaborating investigators has grown to support and serve hundreds of organizations across the U.S. and around the world. Our public meetings are opportunities to grow these two-way dialogues in which stakeholders share their research needs and priorities, and scientists share their resources, insights, and new discoveries.
This meeting was held in-person and online November 6th – 7th, 2025 at the Knight Center at Washington University in St. Louis, kicking off the new HAQAST team. This meeting highlighted new HAQAST member projects and explored topics areas such as satellite data for different sectors including industry and education, applications for forecasting smoke and dust, regulatory compliance, and public health, across scales from local to global.
November 6th, 2025
- Session 1A: Overview of NASA HAQAST
- Session 2A: Improving Surface Fine Particulate Matter (PM2.5) Estimates Using Satellite Data
- Session 2B: Heat and Compound Events Health Impacts
- Session 3A: Forecasting and Near Real Time Monitoring of Smoke and Air Quality Impacts from Wildland Fires
- Session 3B: Predicting Ozone Formation: Advances with TEMPO
- Session 4A: Remote Sensing for Remote Regions: Improving Decision-Making on Dust and More
- Session 4B: Improving Emissions Inventories with Satellite Data
Due to technical issues the recording of this panel is unavailable. We apologize for the inconvenience.
Session 4B: Improving Emissions Inventories with Satellite Data
Moderator: Arlene Fiore (HAQAST Member, Massachusetts Institute of Technology)
Getting the Timing Right – Diurnal Biases and Decision Support
Jen Kaiser (HAQAST Member, Georgia Institute of Technology)
Use of Satellite Data At Georgia EPD
Byeong Kim (Georgia Department of Natural Resources)
Emily Gargulinski (National Institute of Aerospace)
Venezia Ramirez (Norwalk Unides)
Virtual Flash Talks
Sarah Scott (Duke University, NASA LaRC)
Handling Missing Data through Temporal Forecasting and Spatial Inpainting of High-Resolution TEMPO Observations
High-Resolution Smoke Simulations within NOAA’s Rapid-Refresh Forecasting System with Smoke and Dust (RRFS-SD)
Jiani Yang (California Institute of Technology)
Prediction of ambient PM2.5 chemical components in Southern California using machine learning
Jeanné le Roux (AIR4US Development Team)
AIR4US – Prototyping a Future Air Quality Data and Information Platform
Posters
Ahmed Khan Salman (GESTAR II/NASA GSFC)
Transfer Learning for Satellite-Based PM2.5 Estimation: From ABI over CONUS to FCI over Africa with CrossSensor Calibration
Amit Raysoni (University of Texas Rio Grande Valley)
Impact of Sugarcane Stubble Burning Activities on Local Air Quality in the Rio Grande Valley Region of South Texas
Cara Scalpone (University of Wisconsin-Madison)
Understanding Wintertime Air Pollution: The Roles of Building Heating Emissions and Temperature
Chandler Wells (University of Wisconsin-Madison)
Is Your County’s PM₂.₅ Monitor Capturing Peak Concentration?
Chi Li (Washington University in St. Louis)
Estimates of submicron particulate matter (PM1) concentrations for 1998-2022 across the contiguous United States
Daniel Friedland (University of Wisconsin-Madison)
Growing Satellite Data Applications for the Energy Sector
Gabriel Mojica (NASA Langley)
Atmospheric Science Data Center (ASDC) Suborbital Data Ingest and Curation
Haihui Zhu (Colorado State University)
The contribution of agricultural and other anthropogenic dust emissions to coarse particulate matter concentrations in the U.S.
Hazem Mahmoud (NASA LaRC ADNET)
TEMPO Data in Action: ASDC’s Advanced Tools for Wildfire Monitoring and Impact Analysis
Jennifer McGinnis (Colorado State University)
Evaluating Satellite-Identified Dust Storms over the US
Junhyeon Seo (NASA GSFC/GESTARII MSU)
Adaptive Expert-guided Deep Imbalanced Regression for Global PM2.5 Forecasting with Temporal Convolutional Networks and GEOS-FP Inputs
Mena Whalen (Loyola University Chicago)
Community and Local Engaged Air Research (CLEAR): PurpleAir Network Expansion Through Community and Academic Partnerships
Kazuyuki Miyazaki (NASA JPL)
Satellite-derived emission and air quality data to Support NASA’s Earth Science to Action (ES2A) for Air Quality
Ping Jing (Loyola University Chicago)
Assessing the Impact of 2023 Wildfire Smoke on Ozone in Chicago
Shubham Sunil Sharma (Washington University in St. Louis)
Design of a coupled flame and cell exposure system for study of combustion particle toxicity
Siyuan Shen (Washington University in St. Louis)
Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations For North America with Deep Learning from Geophysical a Priori Information
Tyler J Ranieri (Lewis University)
Analysis of Air Quality in the Joliet Illinois Area Using Ground-based and Space-based Measurements
Xinran Wu (University of Wisconsin-Madison)
Early Results on TEMPO Satellite Observations to Evaluate AERMOD Modeling
Yanshun Li (Washington University in St. Louis)
Simulating Diurnal Variation of Fine Particulate Matter Composition over Southeastern US using GEOS-Chem
Yi Ji (University of California, Berkeley)
Assessing the Impact of Wildfire Smoke Transport Through Chemical Transport Modeling, Satellite Retrievals, and Ground-
Based Observations of Ozone in Rural Nevada
Yuanjian Zhang (Washington University in St. Louis)
Diverging Chemical Evolution of Global PM2.5 in Clean and Polluted Atmosphere from 2003 to 2023
Yuxuan Ren (Washington University in St. Louis)
Black Carbon Emissions Underestimated in the Global South as Revealed by Globally Distributed Measurements
Zhiwei Dong (University of Alaska Fairbanks)
Discrepancies between Satellite-based and Ground-based Fire Detection: Implication for Wildfire Emissions in Alaska
Photos
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