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OMB Individually Reported

Fast radiative transfer emulation for GHG retrievals

Low riskExact public inventory row

Description

Fast radiative transfer emulation for GHG retrievals

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

Fast radiative transfer emulation for GHG retrievals

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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