Cloud Regime for CRE Feedback Study: Satellite-Derived Cloud Classifications

Cloud regime classifications derived from Terra and Aqua satellite observations between 50S-50N latitude. The dataset includes regime numbers mapped to a 60S-60N domain and sample Python code for calculating regime mean shortwave and longwave cloud radiative effect (CRE). It was produced by the National Aeronautics and Space Administration and last updated in March 2026.

Use Cases

• Study cloud radiative effect feedbacks based on the provided cloud regime classifications.
• Map cloud regimes over a global domain based on the 'regime numbers on map' files.
• Calculate regime-specific mean SWCRE and LWCRE values using the included sample Python code.
• Validate or compare climate model cloud representations against satellite-derived observational regimes.

Strengths

• Derived from authoritative NASA satellite platforms Terra and Aqua.
• Includes sample Python code for calculating key radiative metrics.
• Last updated on 2026-03-13, indicating recent maintenance.

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

Collection Method

Originally derived from Terra and Aqua satellite observations.

Time Range

null

Freshness

Last updated 2026-03-13 20:27:52.905089; freshness should be verified.

Geography

Observations from 50S-50N latitude, with map files for 60S-60N domain.