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NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Ice Age and Thickness (AITA)

Published by NOAA National Centers for Environmental Information | National Oceanic and Atmospheric Administration, Department of Commerce | Catalog Last Checked: April 12, 2026 at 09:22 PM | Dataset Last Updated: January 15, 2021 at 12:00 AM
The GOES-R Advanced Baseline Imager (ABI) Level 2 Ice Age and Thickness (AITA) contains determination of sea and lake ice thickness and age information of each clear pixel data acquired by the Advanced Baseline Imager (ABI) on the GOES-R series. The core of the ice thickness and age algorithm used to create this product is a One-dimensional Thermodynamic Ice Model (OTIM), which all components of the surface energy budget that are needed for the estimation of sea and lake ice thickness. Based on ice thickness, ice is classified into open water, new/fresh ice, grey ice, grey-white ice, thin first year ice, medium first year ice, thick first year ice, first year ice, and multi-year or older ice.

Resources

19 resources available

  • NCEI Dataset Landing Page

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  • NCEI Archive Information Request System

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  • NOAA CLASS Data Search and Order

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  • NCEI GOES-R Terrestrial Weather (ABI/GLM)

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  • Product Definition and Users' Guide (PUG) Vol.1 Main

    PDF
  • Product Definition and Users' Guide (PUG) Vol.5 Level 2+ Products

    PDF
  • Registry of Open Data on AWS

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  • GOES-16 AWS S3 Explorer (Region: us-east-1)

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  • GOES-17 AWS S3 Explorer (Region: us-east-1)

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  • GOES-18 AWS S3 Explorer (Region: us-east-1)

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  • GOES-19 AWS S3 Explorer (Region: us-east-1)

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  • GOES-16 Google Cloud Bucket Explorer (Region: US-multiple)

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  • GOES-17 Google Cloud Bucket Explorer (Region: US-multiple)

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  • GOES-18 Google Cloud Bucket Explorer (Region: US-multiple)

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  • GOES-19 Google Cloud Bucket Explorer (Region: US-multiple)

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  • Google Cloud Landing Page (Region: US-multiple)

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  • GOES-R Program Document Library

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  • GOES Operational Status - NOAA Office of Satellite and Product Operations

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  • Global Change Master Directory (GCMD) Keywords

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