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GPM MHS on NOAA-18 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07 (GPM_2AGPROFNOAA18MHS_CLIM) at GES DISC

Metadata Updated: December 6, 2023

Version 07 is the current version of the data set. Older versions are no longer available and have been superseded by Version 07.

The "CLIM" products differ from their "regular" counterparts (without the "CLIM" in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the "CLIM" output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals.

The 2AGPROF (also known as, GPM GPROF (Level 2)) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: GMI, SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18) AMSR2 (GCOM-W1), TMI MHS (NOAA 18&19, 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.

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

Dates

Metadata Created Date December 1, 2022
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Surface Precipitation from GPM MHS on NOAA-18 GPROF (17 km x 17 km) (GPM_2AGPROFNOAA18MHS)

Additional Metadata

Resource Type Dataset
Metadata Created Date December 1, 2022
Metadata Updated Date December 6, 2023
Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
Maintainer
Identifier C2264134345-GES_DISC
Data First Published 2022-05-09
Language en-US
Data Last Modified 2022-05-01
Category GPM, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version 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. 2022-05-09. GPM_2AGPROFNOAA18MHS_CLIM. Version 07. GPM MHS on NOAA-18 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07. Greenbelt, MD, USA. 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/MHS/NOAA18/GPROFCLIM/2A/07. https://disc.gsfc.nasa.gov/datacollection/GPM_2AGPROFNOAA18MHS_CLIM_07.html. Digital Science Data.
Creator GPM Science Team
Data Presentation Form Digital Science Data
Graphic Preview Description Surface Precipitation from GPM MHS on NOAA-18 GPROF (17 km x 17 km) (GPM_2AGPROFNOAA18MHS)
Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/GPM_2AGPROFNOAA18MHS_CLIM_07.png
Harvest Object Id b4fa8074-d232-4d04-9ba3-508db4330cf6
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/GPM/MHS/NOAA18/GPROFCLIM/2A/07
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Release Place Greenbelt, MD, USA
Series Name GPM_2AGPROFNOAA18MHS_CLIM
Source Datajson Identifier True
Source Hash 7961eac304c1853c5b4d687fe61bc6e229f9bbf288de861ae08993b76030f583
Source Schema Version 1.1
Spatial
Temporal 2005-05-25T00:00:00Z/2023-03-01T00:00:00Z

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