Dr. Daniel Anderson

Dan Anderson is a research scientist at the University of Maryland Baltimore County/NASA Goddard Space Flight Center, and former co-lead of the NASA GSFC Air Quality and Health applied sciences group. He has extensive experience investigating air quality using a combination of satellites, models, and ground- and airplane-based observations.

HAQAST Project: Determining near real time surface ozone concentrations from TEMPO and machine learning: a feasibility study

Ozone has significant health impacts, yet there are major gaps in ozone monitoring networks. Dan’s team will develop a computationally-efficient machine learning model to produce near real-time and forecasted surface ozone data products across the United States. The model will use TEMPO data, data from air quality monitors, and meteorological data, and additional validation with low-cost sensor networks and surface monitors from field campaigns. The team will  co-develop products with regional air quality organizations to ensure products are tailored to air quality manager needs.

Project goals / deliverables:

1. Develop near real time surface ozone product
2. Create short-term surface ozone forecast
3. Assess and mitigate methodological limitations and validate products

Co-investigators and partners: Bryan N. Duncan (NASA GSFC), Gonzalo González-Abad (SAO), Kristen Okorn (BAER/NASA Ames), Mary Uhl (WESTAR), Alexandra Karambelas (NESCAUM), Zachariah Adelman (LADCO)

HAQAST Publications