This increasing momentum to use commercial and non-federal data comes at an auspicious time, as the amount of such data is growing rapidly through small satellites, new profiling technology, and large increases in the amount and quality of data from personal weather stations at homes, businesses, and farms. While this data is certainly plentiful, it is also different from "official" government-collected weather data, and the networks that provide this data are equally different from their government analogs.
Given this environment, this talk will highlight several areas relevant to both the public and private sector business models, to include:
- a review of the most common commercial/non-federal business models, and how they differ from the planning process and financing of federal networks
- a discussion of the best methods for ensuring that NOAA and the global met agencies can fully execute their missions by getting needed access to all available valuable data in this changing environment, including any necessary adjustments to their data acquisition models to make this possible
- a look at comparative station installations, including strength, weakness, quality, and cost considerations
- selected examples of the ongoing operation of several commercial/non-federal networks, and
- selected case studies showing the impact of data from commercial and non-federal networks