Satellite view of the sun rising above the Earth's surface with the text "HAQAST 2021"

HAQAST Members

Our 14 principal investigators hail from public and private research universities, as well as government offices from across the country, Alaska to Florida, Wisconsin to Texas. On this page you’ll find each team member’s contact info, links to talks, papers, presentations, Tiger Teams, and much more. This team represents the third version of HAQAST, building on the success of HAQAST-2 (2016-2020) and HAQAST-1 (2011-2016, a.k.a. AQAST).

Looking for information about the HAQAST 2016 – 2020 team? Learn more about their work here.

Tracey Holloway

University of Wisconsin-Madison

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HAQAST Team Lead

Broadening the Use of Satellite Data for Health and Air Quality Management

Tracey has been the HAQAST team lead since 2016. Her team seeks to deliver targeted training and data products to end-users throughout the air-quality and public health communities.

Find out more here.

Susan Anenberg

George Washington University

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Using satellite NO2 observations for public health surveillance and environmental policy planning at global, national, and urban scales

Susan’s team will work to meet stakeholder needs for tracking NO2 concentrations and disease burdens and NOx emissions at multiple spatial scales: global, national, and urban.

Find out more here.

Bryan Duncan

NASA Goddard Space Flight Center

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Integrating NASA Resources into the Standard Operating Procedures of Air Quality Agencies in Low and Moderate Income Countries: A Pilot Study

Bryan’s team will develop a methodology that incorporates a suite of cost-effective and publicly-available products

Find out more here.

Arlene Fiore

Massachusetts Institute of Technology

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Investigating spatiotemporal patterns at the nexus of air pollution, climate and public health over the Northeast U.S.A.

Arlene’s team will integrate multi-platform Earth observations to generate a series of highly resolved exposure maps, with uncertainty estimates, for multiple pollutants and heat during recent decades.

Find out more here.

Pawan Gupta

NASA Goddard Space Flight Center

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Capacity Building and Integrating NASA Satellite and Model data into the US State Department’s Decision Support System

Pawan’s team proposes to develop the City Air quality foREcasting and analysis System (CARES).

Find out more here.

Yang Liu

Emory University

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Using Earth Observations to Support National and Global Environmental Health Research and Surveillance

Yang and his team will be working with a host of stakeholders to integrate satellite data into efforts to understand skin-cancer, lung cancer, and the incidence of global wildfires.

Find out more here.

Jingqiu Mao

University of Alaska, Fairbanks

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Air quality and health impacts of boreal fires: decision support and applied research supported by NASA satellite products

Jingqiu’s team will be working with MODIS and VIIRS fire products and aerosol products together with air quality real-time prediction outputs from 3 different models and surface observations to enrich the application of NASA’s satellite data for air quality management and decision making in Alaska.

Find out more here.

Randall Martin

Washington University

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Supporting the Health and Air Quality Management Communities by Advancing Satellite-based Fine Particulate Matter Estimates for Applications across Multiple Scales

Randall’s team will support the health and air-quality management communities by increasing the quality, utility, and timeliness of satellite-based PM2.5 estimates for applications across global, regional, and approaching urban scales.

Find out more here.

Jeffrey Pierce

Colorado State University

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Fused Earth Observations of Multiple Air Pollutants for Health Research and Decision Making

Jeff’s team will be working on fusing a diverse set of Earth Observations to create a gridded, daily, long-term (2006 – present) multi-pollutant dataset. They will especially focus their efforts on non-criteria pollutants, large-scale pollution events such as wildfires, and simultaneous exposure to mixtures of various pollutants.

Find out more here.

Ted Russell

Georgia Tech Research Corporation

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Planes, Boats and Trains-and Satellites: Impact of Airport, Sea Port and Railyard Emissions on Air Quality, Exposure and Health at Local-to-Global Scales

The goal of this proposed project is to make scientific advances in the use of earth science products (ESPs) that enable further use of ESPs in air quality management, health sciences, community engagement and justice, and education.

Find out more here.

Amber Soja

National Institute of Aerospace

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Quantifying Pollution from Prescribed and Smaller Fires: The massive conundrum in our National Emission Inventory.

Amber’s team will work to use multiple satellites and field-based information to inform and advance our National Emissions Inventory (NEI) and the Community Multiscale Air Quality (CMAQ) model.

Find out more here.

Daniel Tong

George Mason University

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Data-driven Forecasts of Hazardous Air Quality Events over North America

Daniel’s team will work to improve our collective predictability of high-impact events, such as wildfires, dust storms, and volcanic eruptions, through emission data assimilation (EDA) and multi-model ensemble forecasting, in order to mitigate harmful effects on human health and the economy.

Find out more here.

Christopher Uejio

Florida State University

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Evaluating Urban Heat Island Mitigation Strategies on Diurnal Heat Exposure and Health Outcomes

Christopher’s team aims to demonstrate how Earth observations can cost-effectively and efficiently monitor cooling infrastructure (CI) influence on the spatially and temporally dynamic thermal environment collectively impacted by both temperature and moisture, and to unveil the direct health benefits by linking the emergency calls with the CIs cooling using state-of-art quantitative models.

Find out more here.

Qian Xiao

University of Texas Health Science Center at Houston

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Applying NASAs Earth Observation Products to Improve Artificial Light at Night (ALAN) Mapping and Public Health Surveillance

Qian’s team will work to integrate up-to-date, high-quality and easy-to-use artificial light at night (ALAN) data in environmental health monitoring programs to better understand the public health implications of ALAN and enable evidence-based decision making.

Find out more here.