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OMB Individually Reported

Mitigating Problematic GOES-17 Infrared Radiances at Night for Weather and Climate Applications

Low riskExact public inventory row

Description

A k-nearest neighbors method is applied to successfully reconstruct bad infrared radiance measurements at night caused by an instrument cooling problem on the GOES-17 (Geostationary Operational Environmental Satellite) Advanced Baseline Imager.

Detailed example

reconstruct bad infrared radiance measurements

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

A k-nearest neighbors method is applied to successfully reconstruct bad infrared radiance measurements at night caused by an instrument cooling problem on the GOES-17 (Geostationary Operational Environmental Satellite) Advanced Baseline Imager.

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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