GPCP Version 2.0 Combined Precipitation Data Set
d728000
This dataset contains version 2.0 of the Global Precipitation Climatology Project (GPCP) monthly combined satellite-gauge precipitation data as well as error estimates. A climatology is also available. All data is available on a 2.5 by 2.5 degree global latitude/longitude grid. The general approach used to create the final product was to combine precipitation information available from each of several sources into a final merged product, taking advantage of the strengths of each data type. The satellite data included microwave estimates based on Special Sensor Microwave/Imager (SSM/I) data, and IR precipitation estimates from geostationary and polar-orbiting satellites. Additional low-Earth orbit estimates include the TIROS Operational Vertical Sounder (TOVS) and OPI data from the NOAA series satellites. The gauge data are assembled and analyzed by the Global Precipitation Climatology Center (GPCC) of the Deutscher Wetterdienst and by the Climate Prediction Center of NOAA. A more detailed description of the data can be found here [http://rda.ucar.edu/datasets/ds728.0/docs/V2_doc].
dataset
https://rda.ucar.edu/datasets/d728000/
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applicationProfile: browser
name: Dataset Description
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function: information
https://rda.ucar.edu/datasets/d728000/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
GRIDDING METHODS
revision
2024-07-23
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT
revision
2024-07-24
-180
180
90
-90
1979
2006
publication
1992-02-14
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1217
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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2024-08-04T02:11:39Z