Skip to data content Skip to data search

NOAA/NCEP Stage IV Daily Precipitation Imagery [NOAA/NCEP]

Summary

This data set contains daily Stage IV precipitation for the NWS Central Region produced by the NOAA/National Weather Service Advanced Hydrologic Prediction Service. The images have roughly 4km resolution and depict 24 hour total precipitation ending at 1200 UTC. A multisensor approach is used to obtain the observed precipitation. The WSR-88D radar precipitation estimates are compared to the gauge reports and a bias is derived and applied to the radar field. The radar and gauge fields are then combined into the multisensor field.

This data set contains imagery from the two Profiling of Winter Storms (PLOWS) field phases, 6 February to 30 March 2009 and 27 October 2009 to 10 March 2010. No imagery are available for the period between the field phases.

Data access

  • ORDER data for delivery by FTP
  • Preview dataset (plots/images)

Additional information

Homepage
Metadata download

Note that your browser may not display the above metadata links, but automatically save them as files in a folder such as "Downloads"

Related projects
Frequency daily
Language English
Categories
Platforms
Related links

Temporal coverage

Begin datetime 2009-02-06 12:00:00
End datetime 2010-03-10 12:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 50.00, Minimum (South) Latitude: 35.00
Minimum (West) Longitude: -115.00, Maximum (East) Longitude: -76.00

Primary point of contact information

EOL Data Support <eol-datahelp@ucar.edu>

Additional contact information

Citation

Example citation following ESIP guidelines:

National Centers for Environmental Prediction (NCEP), NOAA. 2010. NOAA/NCEP Stage IV Daily Precipitation Imagery. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://data.eol.ucar.edu/dataset/113.002. Accessed 15 Dec 2019.

Today's date is shown: please replace with the date of your most recent access.

This dataset does not have a DOI. If you plan to cite this dataset, please email us to request a DOI, which will improve the searchability and cross-referencing of the citation.