OMB Individually Reported
Optimization of Machine Learning Algorithms for Lidar to Detect Aerosols, Clouds, and the PBL (Planetary Boundary Layer)
Low riskExact public inventory row
Description
Optimization of Machine Learning Algorithms for Lidar to Detect Aerosols, Clouds, and the PBL (Planetary Boundary Layer)
Detailed example
Predictions
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
Understanding aerosol and cloud conditions can enhance analysis of the Earth's climate system and this work uses ML to enhance signal to noise ratios, detect atmospheric features, and more.
Controls / human review
ATO: Not reported; PIA: Not published