OMB Individually Reported
Unification of laboratory and observational data via learning algorithms for robust models of ice microphysics
Low riskExact public inventory row
Description
This work applies neural networks and variational autoencoders to a variety of weather analysis
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
Unification of laboratory and observational data via learning algorithms for robust models of ice microphysics
Controls / human review
ATO: Not reported; PIA: Not published