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catalog_ds728.2.xml
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<?xml version="1.0" encoding="UTF-8"?>
<catalog name="THREDDS Server Default Catalog : You must change this to fit your server!"
xmlns="http://www.unidata.ucar.edu/namespaces/thredds/InvCatalog/v1.0"
xmlns:xlink="http://www.w3.org/1999/xlink">
<!-- All-inclusive service group to be used for individual files -->
<service name="all" serviceType="Compound" base="">
<service name="opendap" serviceType="OPENDAP" base="/thredds/dodsC/"/>
<service name="ncss" serviceType="NetcdfSubset" base="/thredds/ncss/grid/"/>
<service name="cdmremote" serviceType="CdmRemote" base="/thredds/cdmremote/"/>
<service name="wcs" serviceType="WCS" base="/thredds/wcs/"/>
<service name="wms" serviceType="WMS" base="/thredds/wms/"/>
<service name="iso" serviceType="ISO" base="/thredds/iso/"/>
<service name="ncml" serviceType="NCML" base="/thredds/ncml/"/>
<service name="uddc" serviceType="UDDC" base="/thredds/uddc/"/>
</service>
<!-- Top level dataset: Needed to set metadata for Files & Aggregations -->
<dataset name="ds728.2 GPCP Version 2.2 Combined Precipitation Data Set">
<metadata inherited="true">
<serviceName>all</serviceName>
<dataFormat>NetCDF</dataFormat>
<dataType>GRID</dataType>
<documentation type="Rights">Freely Available</documentation>
<documentation xlink:href="http://rda.ucar.edu/datasets/ds728.2/"
xlink:title="NCAR RDA - GPCP Version 2.2 Combined Precipitation Data Set (ds728.2)"/>
<documentation type="summary">
This dataset contains Version 2.2 of the Global Precipitation Climatology Project (GPCP) combined satellite-gauge precipitation estimate and combined satellite-gauge error estimate. The data are monthly analyses defined on a global 2.5 degree by 2.5 degree longitude/latitude grid and cover the period January 1979 to (delayed) present.
The GPCP was established by the World Climate Research Program (WCRP) and subsequently attached to the Global Energy and Water Exchange program (GEWEX) to address the problem of quantifying the distribution of precipitation around the globe over many years. The general approach is to combine the precipitation information available from each of several sources into a final merged product, taking advantage of the strengths of each data type. The passive microwave estimates are based on Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) data from the series of Defense Meteorological Satellite Program (DMSP, United States) satellites that fly in sun-synchronous low-earth orbits at 6am / 6pm. The infrared precipitation estimates are computed primarily from geostationary satellites (United States, Europe, Japan), and secondarily from NOAA series polar-orbiting satellites (United States). Additional low-Earth orbit estimates include Atmospheric Infrared Sounder (AIRS) data from the NASA Aqua, and Television Infrared Observation Satellite Program (TIROS) Operational Vertical Sounder (TOVS) and Outgoing Longwave Radiation Precipitation Index (OPI) data from the NOAA series satellites. The precipitation gauge data are assembled and analyzed by the Global Precipitation Climatology Centre (GPCC) of the Deutscher Wetterdienst.
</documentation>
<documentation xlink:href="http://precip.gsfc.nasa.gov/" xlink:title="NASA GSFC MAPB Precipitation Analysis page" />
<creator>
<name vocabulary="DIF">NASA/GSFC/SED/ESD/LA/MAPB</name>
<contact url="http://precip.gsfc.nasa.gov/" email="[email protected]" />
</creator>
<authority>edu.ucar.rda</authority>
<publisher>
<name vocabulary="DIF">NCAR/RDA</name>
<contact url="http://rda.ucar.edu/" email="[email protected]" />
</publisher>
<keywords>GPCP</keywords>
<keywords>NASA</keywords>
<keywords>GSFC</keywords>
<keywords>Precipitation</keywords>
<keywords>Precipitation Analysis</keywords>
</metadata>
<!-- Files -->
<datasetScan name="ds728.2 Files"
path="files/g/ds728.2"
location="/glade/p/rda/data/ds728.2">
<metadata inherited="true">
<serviceName>all</serviceName>
</metadata>
<filter>
<exclude wildcard="*.html"/>
<exclude wildcard="psg" atomic="false" collection="true"/>
<exclude wildcard="esg" atomic="false" collection="true"/>
<exclude wildcard="clim" atomic="false" collection="true"/>
</filter>
<addDatasetSize/>
</datasetScan>
</dataset>
</catalog>