<metadata>
  <idinfo>
    <datsetid> gov.noaa.nws:Observed_pcpn </datsetid>
    <citation>
      <citeinfo>
        <origin>DOC/NOAA/National Weather Service</origin>
        <pubdate>Unknown</pubdate>
        <title>Gridded Observed Precipitation Data</title>
        <onlink>https://water.noaa.gov/resources/downloads/precip/stageIV/</onlink>
        <onlink>https://water.noaa.gov</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>Observed precipitation is a byproduct of National Weather Service (NWS) operations
        at the 12 CONUS River Forecast Centers (RFCs), and is displayed as a gridded field with a
        spatial resolution of roughly 4x4 km.</abstract>
      <purpose>Observed precipitation estimates are created in order to simulate streamflow across
        the CONUS United States.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>2005</begdate>
          <enddate>Present</enddate>
        </rngdates>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>In work</progress>
      <update>Daily</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-125.0208333</westbc>
        <eastbc>-65</eastbc>
        <northbc>53</northbc>
        <southbc>17</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>None</themekt>
        <themekey>Gridded Observed Precipitation Data</themekey>
        <themekey>Precipitation</themekey>
        <themekey>Observations</themekey>
      </theme>
      <place>
        <placekt>None</placekt>
        <placekey>Continental United States</placekey>
        <placekey>CONUS</placekey>
        <placekey>Puerto Rico</placekey>
      </place>
      <temporal>
        <tempkt>2005</tempkt>
        <tempkey>Present</tempkey>
      </temporal>
    </keywords>
    <accconst>None</accconst>
    <useconst>This information is not certified and cannot be used in legal proceedings. Official,
      certified data is available exclusively through the National Climatic Data Center.</useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>DOC/NOAA/National Weather Service</cntorg>
          <cntper>Precipitation Analysis Support Group</cntper>
        </cntorgp>
        <cntpos>Physical Scientist/Hydrologist</cntpos>
        <cntaddr>
          <addrtype>mailing</addrtype>
          <address>National Weather Service - Office of Hydrologic Development 1325 East-West Hwy </address>
          <city>Silver Spring</city>
          <state>Maryland</state>
          <postal>20910</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>301-713-0640</cntvoice>
        <cntfax>301-713-0963</cntfax>
        <cntemail>nws.hq.ohd.ahps.precip@noaa.gov</cntemail>
      </cntinfo>
    </ptcontac>
  </idinfo>
  <dataqual>
    <logic>"Studies have shown that algorithms which combine sensor inputs -- radar, gauge,
      satellite -- yield more accurate precipitation estimates than those which rely on a single
      sensor (i.e. radar-only, gauge-only, satellite-only). Although it is not perfect, this dataset
      is one of the best sources of timely, high resolution precipitation information available.
      Still, users should understand the inherent weaknesses of this dataset before using it in
      certain decision - making applications, especially those which require a high degree of
      accuracy. Radar Data Errors. These precipitation estimates are based substantially on radar
      which samples over a large area. Each grid value on the maps represents average precipitation
      over roughly 16 km2 (6¼ mi2). Radar values may not be comparable with one or more rain gauges
      within that area. Radar sampling errors that can create inaccuracies in the data include
      freezing or frozen precipitation, low topped convection, bright banding, accuracy of the
      reflectivity - rainfall relationship in use, calibration of the radar, radar location and
      elevation, range degradation (i.e., larger sampling area and effect of intervening
      precipitation), and the radar's effective coverage (e.g., physical obstructions such as
      mountains). Precipitation Gauge Errors. A rain gauge measures approximately 12 in2. There are
      over 10,000 precipitation gauges scattered through the country. Gauge sampling problems could
      include freezing precipitation, windy conditions, gauge siting (e.g., obstructions around the
      gauge), under-measurement by tipping bucket gauges in high intensity rainfall, and gauge
      maintenance. In places where NWS quality control efforts fail to resolve persistent problems,
      significant sampling errors will be noticable in longer-duration products (e.g. 30 days or
      more). Horizontal Accuracy. Horizontal accuracy errors may reach up to 5 km (3 mi). In other
      words, ""peaks"" in the precipitation data may actually have occurred miles away." </logic>
    <complete>"East of the Continental Divide, River Forecast Centers derive the ""Observed""
      precipitation field using a multisensor approach. Hourly precipitation estimates from WSR-88D
      NEXRAD are compared to ground rainfall gauge reports, and a bias (correction factor) is
      calculated and applied to the radar field. The radar and gauge fields are combined into a
      ""multisensor field"", which is quality controlled on an hourly basis. In areas where there is
      limited or no radar coverage, satellite precipitation estimates (SPE) can be incorporated into
      this multisensor field. The SPE can also be biased against rain gauge reports. The following
      links provide additional information about the programs used to derive these multisensor
      fields: https://www.srh.noaa.gov/abrfc/?n=pcpn_methods
      https://water.weather.gov/precip/archive/AMS_Paper_Feb_2003.pdf In mountainous areas west of
      the Continental Divide, a different method is used to derive the ""Observed"" data. Gauge
      reports are plotted against long term climatologic precipitation (PRISM data), and derived
      amounts are interpolated between gauge locations. The following link provides more information
      about the process and program used to derived observed precipitation in the western U.S.:
      https://www.cnrfc.noaa.gov/products/rfcprismuse.pdf." </complete>
    <lineage>
      <procstep>
        <procdesc>Refer to: https://www.weather.gov/disclaimer.php</procdesc>
        <procdate>Unknown</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <eainfo>
    <overview>
      <eaover>Refer to: https://water.noaa.gov/resources/downloads/precip/stageIV/</eaover>
      <eadetcit>Refer to: https://water.noaa.gov/resources/downloads/precip/stageIV/</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>DOC/NOAA/National Weather Service</cntorg>
        </cntorgp>
        <cntemail>nwps.webmaster@noaa.gov</cntemail>
      </cntinfo>
    </distrib>
    <resdesc>Downloadable Data</resdesc>
    <distliab>Refer to: https://www.weather.gov/disclaimer.php</distliab>
  </distinfo>
  <metainfo>
    <metd>20120719</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>DOC/NOAA/National Weather Service</cntorg>
        </cntorgp>        
        <cntemail>nwps.webmaster@noaa.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>