GPM AMSR-2 on GCOM-W1 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 10 km V05 (GPM_2AGPROFGCOMW1AMSR2) at GES DISC

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 Version 4 is no longer available and has been superseded by Version 5.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 near-realtime (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 a-priori 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.

Data and Resources

Field Value
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation GPM Science Team. 2016-05-20. GPM_2AGPROFGCOMW1AMSR2. Version 05. GPM AMSR-2 on GCOM-W1 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 10 km V05. Greenbelt, MD. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/GPM/AMSR2/GCOMW1/GPROF/2A/05. https://disc.gsfc.nasa.gov/datacollection/GPM_2AGPROFGCOMW1AMSR2_05.html. Digital Science Data.
creator GPM Science Team
data-presentation-form Digital Science Data
graphic-preview-description Surface Precipitation from AMSR2 (GPM_2AGPROFGCOMW1AMSR2)
graphic-preview-file https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/2A-BR.GCOMW1.AMSR2.GPROF2017v1.20150101-S000954-E014846.013958.V05A.PNG
identifier C1384615122-GES_DISC
issued 2017-05-03
landingPage https://doi.org/10.5067/GPM/AMSR2/GCOMW1/GPROF/2A/05
language {en-US}
metadata_type geospatial
modified 2017-05-08
programCode {026:001}
publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
release-place Greenbelt, MD
resource-type Dataset
series-name GPM_2AGPROFGCOMW1AMSR2
source_datajson_identifier true
source_hash ff5dc29067f010894b771b43a5165748100ea532
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}
temporal 2014-01-31T00:00:00Z/2020-11-30T00:00:00Z
theme {GPM,geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • atmosphere
  • atmospheric-water-vapor
  • ckan
  • earth-science
  • geo
  • geoss
  • national
  • north-america
  • precipitation
  • united-states
isopen False
license_id notspecified
license_title License not specified
maintainer GEORGE HUFFMAN
maintainer_email George.J.Huffman@nasa.gov
metadata_created 2025-11-23T00:16:55.905805
metadata_modified 2025-11-23T00:16:55.905809
notes 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 near-realtime (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 a-priori 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.
num_resources 15
num_tags 12
title GPM AMSR-2 on GCOM-W1 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 10 km V05 (GPM_2AGPROFGCOMW1AMSR2) at GES DISC