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

Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources

Bryan N. Duncan, Carl A. Malings, K. Emma Knowland, Daniel C. Anderson, Ana I. Prados, Christoph A. Keller, Kevin R. Cromar, Steven Pawson, Holli Ensz, GeoHealth

Satellite-Based Analysis of CO2 Emissions From Global Cities: Regional, Economic, and Demographic Attributes

Doyeon Ahn, Daniel Goldberg, Fei Liu, Daniel Anderson, T. Coombes, Christopher Loughner, M. Kiel, Abhishek Chatterjee. AGU Advances.