Dr. Randall Martin

Credentials: Washington University

Email: rvmartin@wustl.edu

Website: Dr. Randall Martin's website

Headshot of Randall Martin

Randall Martin is the Raymond R. Tucker Distinguished Professor in the Department of Energy, Environmental & Chemical Engineering at Washington University. His research focuses on characterizing atmospheric composition to inform effective policies surrounding major environmental and public health challenges with a focus on air quality. He leads a research group at the interface of satellite remote sensing and global modeling, with applications that include population exposure for health studies, top-down constraints on emissions, and analysis of processes that affect atmospheric composition. He serves as the Model Scientist for the GEOS-Chem open-source community model of atmospheric composition, leads the global Surface Particulate Matter Network (SPARTAN), and is involved in leadership with various satellite science teams (e.g., TEMPO, MAIA, MODIS-VIIRS Atmosphere, ACX). 

HAQAST Project: Advancing Satellite-derived Fine Particulate Matter Data to Support the Health and Air Quality Management Communities

Dr. Martin’s team will leverage recent developments in satellite remote sensing, chemical transport modeling, deep learning, and ground-based measurements to produce the next generation of satellite-derived PM2.5 data extending through 2027 for applications across multiple scales. This project will incorporate data from VIIRS, PACE, TEMPO, and MAIA instruments, along with ground-based data from SPARTAN and AERONET. This project will support a large user community including the GBD, the WHO, the OECD, the Air Quality Life Index, the Environmental Performance Index, the World Bank, the HEI State of Global Air, UNICEF, the UNDP, US EPA, NOAA, the American Lung Association, the US Census Bureau, air quality managers and forecasters, private companies, non-governmental organizations, numerous environmental health scientists, and the general public.

Project goals / deliverables:

  1. Incorporate advances in satellite remote sensing
  2. Incorporate advances in modeling
  3. Implement multisensor fusion
  4. Evaluate and improve PM2.5 data
  5. Increase data accessibility and utility 

 

Co-investigators and partners: Chi Li (Washington University), Michael Brauer (Institute for Health Metrics and Evaluation of the University of Washington), Alex de Sherbinin (Center for International Earth Science Information Network (CIESIN) at Columbia University), Dohyung Kim (UNICEF), Shobha Kondragunta (NOAA), Pallavi Pant (Health Effects Institute), John Voorheis (US Census Bureau)

 

HAQAST Publications