GPM GMI (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 13 km V05 (GPM_2AGPROFGPMGMI) at GES DISC

Metadata Updated: November 5, 2019

Version 5 is the current version of the data set. Version 4 is no longer available and has been superseded by Version 5.

The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1)

This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided.

The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date August 1, 2018
Metadata Updated Date November 5, 2019

Metadata Source

Harvested from NASA Data.json

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GPM GMI (GPROF) Surface Precipitation Estimate (GPM_2AGPROFGPMGMI)

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date November 5, 2019
Unique Identifier C1383813815-GES_DISC
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Citation Toshio Iguchi, Robert Meneghini. 2016-05-03. GPM_2AGPROFGPMGMI. Version 05. GPM GMI (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 13 km V05. Greenbelt, MD. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). Digital Science Data.
Creator Toshio Iguchi, Robert Meneghini
Data Presentation Form Digital Science Data
Graphic Preview Description GPM GMI (GPROF) Surface Precipitation Estimate (GPM_2AGPROFGPMGMI)
Graphic Preview File
Harvest Object Id 7c1c57e9-7106-4351-8c3a-891987c115b1
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-05-03
Homepage URL
Language en-US
Metadata Type geospatial
Data Last Modified 2017-05-08
Program Code 026:001
Release Place Greenbelt, MD
Source Datajson Identifier True
Source Hash 43509e907e48f27e4f5eb737fe259785ce068edb
Source Schema Version 1.1
Spatial -180.0 -70.0 180.0 70.0
Temporal 2014-03-04T00:00:00Z/2019-11-04T00:00:00Z
Category GPM, geospatial

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