• Version Description
  GPCPV3.0 the beta version (inaugural)
• DOI

  10.5067/TTO0VJF2FSYR

• Search for granules from this collection

Data Dates

Creation	2019-03-08T00:00:00.000Z
Last Revision	2019-03-08T00:00:00.000Z

Processing Level
3
Quality A rudimentary estimate of the quality of the precipitation estimates is provided in the combined satellite-gauge precipitation random error field. The method used to estimate the random error is based on the technique described in Huffman (1997). In general, estimating meaningful error is a difficult prospect and is currently the subject of intensive research. Since inception, the GPCP has strived to maintain CDR standards in all its data sets, despite not officially being a CDR. Homogeneity in the record takes precedence over instantaneous accuracy. Over the long-term, GPCP represents the current state of the art. GPCP estimates are most accurate in the tropics, and less so in the subtropics and mid-latitudes. Above 58N and below 58S, the estimates are more approximate. High-quality gauge analyses are incorporated to vastly improve the estimates over land. Note that the land estimates are of lesser quality in the more challenging regions such as complex terrain and snow and ice covered surfaces. The GPCP estimates are most appropriate for studies where a long record is necessary, but less useful for short-interval studies and the examination of extremes.
• Collection Progress

  Complete

• Use Constraints

  The *data access policy* is "freely available" with three common-sense caveats: 1. The data set source should be acknowledged when the data are used. The American Meteorological Society guidelines contain suggested formats for referencing data sets (https://www.ametsoc.org/ams/index.cfm/publications/authors/journal-and-bams-authors/formatting-and-manuscript-components/references/dataset-references/). Following their example for data that are dynamically updated without distinct versions: Huffman, G.J., D.T. Bolvin, E.J. Nelkin, 2019: GPCP Version 3.0 SG Combined Precipitation Data Set, last updated <date>. GES DISC, Greenbelt, MD, accessed <date>, https://doi.org/10.5067/TTO0VJF2FSYR 2. New users are urged to obtain their own current, clean copy from an official archive, rather than taking a version from a third party that might be damaged or out of date. 3. Errors and difficulties in the original datasets should be reported to the dataset creators. Access and format issues at third-party sites should be directed to their contacts.

• Access Constraints

  None

Publication References

• Title: Algorithm Theoretical Basis Document (ATBD) for Global Precipitation Climatology Project Version 3.0 Precipitation Data

  Publication Date: 2019-03-14

  Author(s): Huffman, G.J., R.F. Adler, D.T. Bolvin, K. Hsu, C. Kidd, E.J. Nelkin, J. Tan, P. Xie

Projects

Spatial Information

Location Keywords

• • GEOGRAPHIC REGION
  • GLOBAL

• NASA/GSFC/SED/ESD/GCDC/GESDISC

  ARCHIVER

  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

  This data center does not have any addresses listed.

  This data center does not have any contact mechanisms listed.

  https://disc.gsfc.nasa.gov/
  

  • Home Page

• GEORGE HUFFMAN

  Investigator

  GEORGE HUFFMAN

  • NASA Goddard Space Flight Center
    Mailstop 612
    Greenbelt, MD 20771

  Email

  301-614-6308

• ZHONG LIU

  Metadata Author

  ZHONG LIU

  • NASA
    Goddard Space Flight Center
    Mailstop 610.2
    Greenbelt, MD 20771

  Email

• GES DISC HELP DESK SUPPORT GROUP

  Data Center Contact

  GES DISC HELP DESK SUPPORT GROUP

  NASA/GSFC/SED/ESD/GCDC/GESDISC

  • Goddard Earth Sciences Data and Information Services Center
    Code 610.2
    NASA Goddard Space Flight Center
    Greenbelt, Maryland 20771

  Email

  301-614-5224

File Distribution Information

• Format: netCDF

  Format Type: Native

  Media: Online Archive

  Average File Size: 5 MB

  Fees: None