OMB Individually Reported
Combining Satellite and Ground-based Observations to Improve Cloud Ceiling Observations over CONUS for Aviation Weather
Low riskExact public inventory row
Description
A k-nearest neighbors method is applied to use satellite observations to extend sparse ceilometer observations at surface stations to high spatiotemporal resolutions over CONUS (Continental United States)
Detailed example
high spatiotemporal resolution
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
A k-nearest neighbors method is applied to use satellite observations to extend sparse ceilometer observations at surface stations to high spatiotemporal resolutions over CONUS (Continental United States)
Controls / human review
ATO: Not reported; PIA: Not published