Increasing Satellite Data Applications for Health and Air Quality
Abstract
The NASA Health and Air Quality Applied Science Team (HAQAST, haqast.org) is a national team of 13 members and over 70 co-investigators, funded by the NASA Applied Science Program, to connect satellite data with health and air quality applications. HAQAST represents a new model for funding science that increases researcher responsiveness to stakeholder needs, includes stakeholder experts in the research process, and reduces the time for research results and application.
HAQAST has adjusted its approach based on lessons learned and feedback gathered from stakeholders, team members, program managers, and meeting attendees. We have found that the success of this type of team depends on building a culture of collaboration, advancing communication with stakeholder communities, and identifying issues where the team structure can provide a rapid response. With additional implementation and assessment, there is the potential for a new model of scientific research funding to extend across organizations and disciplines, connecting advanced research with a range of real-world information needs. We will present on the structure and goals of the team, as well as lessons learned for other applied research activities. We will illustrate the applied research approach of HAQAST through a discussion of satellite data for evaluation of regional photochemical grid models like the EPA Community Multiscale Air Quality (CMAQ) model. Results will be presented from various studies where satellite data for NO2, HCHO, and aerosol optical depth (AOD) have been used to assess model performance, including emissions inventories, over both the United States and India. We will discuss how studies have benefits from collaboration with stakeholders, and the evolution of a free, publicly available Python-based software to allow users to allocate Level-2 satellite products onto a user-defined grid, called the Wisconsin Horizontal Interpolation Program for Satellites (WHIPS, https://nelson.wisc.edu/sage/data-and-models/software.php).- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.A43E..08H
- Keywords:
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- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0240 Public health;
- GEOHEALTHDE: 1640 Remote sensing;
- GLOBAL CHANGEDE: 6309 Decision making under uncertainty;
- POLICY SCIENCES