OMB Individually Reported
Determining Cloud Particle Types Using Backscatter Lidar Data and a Clustering Approach
Low riskExact public inventory row
Description
Automated identification of cloud ice crystal types and supercooled liquid
Detailed example
Outputs include confidences/probabilities and most likely category
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
Significant time savings
Controls / human review
ATO: Not reported; PIA: Not published