Air quality data is critical to support a wide range of data consumers in a wide range of activities, from scientific research to policy making to event planning. AQ data are used to understand natural processes and physical phenomena, as well as contributing to other important research in natural sciences, social sciences, regulatory activities, and much more. At the same time, air quality data is acquired by a wide range of instruments with a wide range of operational characteristics and vantage points. Matching air quality data consumers with appropriate data products, and providing the right tools to support their immensely diverse needs, is more important than ever. Technology developers need information about how different types of data consumers use air quality data, and the challenges they encounter in finding, accessing, preparing, and analyzing data.
Since the Winter meeting progress has been made on a number of different fronts and the ESIP AQCluster was rebooted over the past six months to help expand the community and to share understanding of these emerging capabilities. The AQCluster will hold a panel session to review some of the progress made by active research and to formulate a plan for moving the community development ahead. Cluster projects will be discussed. The panel will consist of 6 participants, representing modeling, consumers and data providers. We'll seek to find a path towards greater enlightenment in using these capabilities.
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Takeaways- The NASA DAACs can provide important and useful intermediary services between the data providers and consumers.
- Producing actionable information needs to be targeted upon the specific community.
- There is broad interest in correctly coupling in situ data with remote sensing data and model output. Correctly is non-trivial.