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