OMB Individually Reported
Developing an ML-based subcolumn generator
Low riskExact public inventory row
Description
ML generator for cloudy and precipitating subcolumns to be used in global climate models.
Detailed example
Subgrid cloud and rainfall variability from grid statistics.
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
Improvement of cloud and precipitation processes in global climate models for more realism and better performance.
Controls / human review
ATO: Not reported; PIA: Not published