AIRS_CPR_IND: Collocation Indexes for A-Train Satellite Cloud and Water Vapor Data

AIRS-AMSU-CloudSat collocation indexes map CloudSat profile data to the field of views of other A-train instruments like AIRS and AMSU. These data are produced by NASA's GES DISC as part of the MEaSUREs project to create a multi-sensor climatology of atmospheric water vapor. Version 4.1 is the current version, superseding all previous releases.

Use Cases

• Develop a multi-sensor climatology of water vapor based on the described scene classification and cloud information.
• Analyze cloud property retrievals based on the collocation of CloudSat, AIRS, and AMSU data.
• Discover and organize satellite datasets for large-scale science analysis using the SciFlo technologies mentioned.
• Find space and time matchups between pairs of A-train instruments as described in the project's basic task.

Strengths

• Data is part of NASA's MEaSUREs project, indicating a structured, large-scale science analysis initiative.
• Version 4.1 is the current and supported version, superseding all previous data.
• Data format is netCDF-4, a standard for scientific data storage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.

Provenance

Source

National Aeronautics and Space Administration (NASA) GES DISC

Collection Method

Created by collocating data from multiple A-train satellite instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat).

Time Range

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Freshness

Last updated 2026-03-13 06:22:50.987785; freshness should be verified.

Geography

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