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GPM MHS on NOAA-18 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V05 (GPM_2AGPROFNOAA18MHS_CLIM) at GES DISC

Abstract: Version 5 is the current version of the data set. Older versions are no longer available and have been superseded by Version 5.

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 ... View entire text
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Description: Surface Precipitation from GPM MHS on NOAA-18 GPROF (17 km x 17 km) (GPM_2AGPROFNOAA18MHS)
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Geographic Coverage
Spatial coordinates   
  N: 90.0   S: -90.0   E: 180.0   W: -180.0

Data Set Citation
Dataset Originator/Creator: GPM Science Team
Dataset Title: GPM MHS on NOAA-18 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V05
Dataset Series Name: GPM_2AGPROFNOAA18MHS_CLIM
Dataset Release Date: 2016-09-14T00:00:00.000Z
Dataset Release Place: Greenbelt, MD, USA
Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
Version: 05
Data Presentation Form: Digital Science Data
Online Resource:
Temporal Coverage
Start Date: 2005-05-25
Location Keywords
Quality The major sources of systematic errors in these algorithms are the quality of the a-priori database, and the estimate of the model uncertainties that are needed to construct a Bayesian algorithm. Some error can also be introduced by the ancillary information (surface type, surface temperature, and total precipitable water) used to subset the a-priori database in the algorithm. Because passive microwave signatures at the pixel level represent primarily integrated quantities, neither the vertical structure nor the near-surface precipitation from radiometers are typically as good as their radar counterparts. Solutions are also smoothed by the Bayesian scheme, leading to fewer extremes relative to a radar.
Access Constraints None
Use Constraints None
Data Set Progress
Data Center
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA Supplemental Info
Data Center URL:

Data Center Personnel
Phone: 301-614-5224
Fax: 301-614-5268
Email: gsfc-help-disc at
Contact Address:
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
Distribution Media: Online Archive
Distribution Size: 40.0 MB
Distribution Format: HDF5
Fees: None
Phone: 1-970-491-7473
Fax: 1-970-491-8449
Email: kummerow at
Contact Address:
Department of Atmospheric Science
Colorado State University
City: Fort Collins
Province or State: CO
Postal Code: 80523
Country: USA
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Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2015-01-15
Last DIF Revision Date: 2019-02-11