Start Date
3-4-2023 3:45 PM
End Date
3-4-2023 5:00 PM
Access Type
Open Access
Abstract
Poor air quality is a major global public health concern, which is only projected to get worse in coming years. A comprehensive understanding of current and potential future air quality and its key drivers spanning from local to global scales is needed to tackle this important problem. This presentation will outline the sources of information that we use to understand air quality (e.g., ground-based measurements, satellites, and models), their strengths and limitations, and how they are being used together to give us a better picture of air quality locally and globally.
Biography
Carl Malings is an Assistant Research Scientist at Morgan State University, working under the GESTAR II cooperative agreement at the NASA Goddard Space Flight Center’s Global Modeling and Assimilation Office. He works to combine atmospheric chemistry models, satellite retrievals, and surface monitor data to better estimate & forecast air quality to support air quality decision-making globally. Previously, he worked as a post-doctoral researcher with low-cost air quality sensors. He obtained his PhD in Civil and Environmental Engineering from Carnegie Mellon University in 2017.
Additional Links
ORCID
Air Quality Analysis with Sensors, Satellites, and Models
Poor air quality is a major global public health concern, which is only projected to get worse in coming years. A comprehensive understanding of current and potential future air quality and its key drivers spanning from local to global scales is needed to tackle this important problem. This presentation will outline the sources of information that we use to understand air quality (e.g., ground-based measurements, satellites, and models), their strengths and limitations, and how they are being used together to give us a better picture of air quality locally and globally.