GPM_2AGPROFTRMMTMI_CLIM: Climate-Referenced Satellite Precipitation Profiles

A NASA satellite dataset provides precipitation profiles and atmospheric water vapor data using a Bayesian retrieval algorithm. The data is derived from the TRMM TMI sensor and processed with homogeneous ECMWF reanalysis ancillary data to create a climate-consistent time series. Version 07 is the current version, superseding older releases.

Use Cases

• Analyzing long-term precipitation patterns based on climate-referenced satellite retrievals.
• Studying the vertical structure of cloud and precipitation hydrometeors based on Bayesian algorithm outputs.
• Comparing precipitation retrievals across different passive microwave sensors in the GPM constellation.
• Investigating atmospheric water vapor content based on brightness temperature observations.

Strengths

• Uses homogeneous ECMWF reanalysis ancillary data for consistent climate time series.
• Applies a parametric Bayesian algorithm across a constellation of sensors for retrieval consistency.
• Provides mean rain rate, vertical hydrometeor structure, and associated uncertainty estimates.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Ancillary data for the climate product has a 2-3 month lag behind regular production.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Satellite remote sensing data from the TRMM TMI sensor processed by the Goddard Profiling (2AGPROF) algorithm.

Time Range

Climate time series, specific temporal coverage is not detailed in the provided metadata.

Freshness

Last updated 2026-03-13 02:14:42.813746; freshness should be verified.

Geography

Global coverage from satellite observations.