This is not only beefing up metadata and QC flags in the data. It might be even more important to establish a framework that assesses the quality of data products for different usages, e.g., climate change or local monitoring. This fitness-for-purpose product-level quality cannot be handled by QC flags but requires a community-based chaining data content with data delivery and web-based services.
- Data Intercomparison and quality harmonization
- Fit-for-purpose criteria for data quality (e.g., climate change need vs. near-real-time monitoring need)
- Presenting data quality to users
- What does the air quality community need for data quality (i.e., for many different applications, many things people do - monitoring, detecting, EPA legalistic things, etc)? Is it more important to get data measurement down to 5th digit, or more important to get data within 3 hours, most important coverage (space and time), more important to have consistency throughout data, or precise accuracy and measurement for particular date?
- What are the methodologies used for data quality assessment throughout the communities? For example, people working with ground-based measurement data - surface means different things throughout different communities. Need to hear about the knowledge that already exists in the AQ community.
Sea Surface Temperature
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