Skip to data content Skip to data search

DYCOMS-II Surface: HPC North America Surface Analysis Imagery (GIF)

Summary

The HPC North America Surface Analysis Imagery (GIF)is one of several surface products collected as part of the Dynamics and Chemistry of Marine Stratocumulus PhaseII: Entrainment Studies (DYCOMS-II) project field catalogoperated by the National Center For Atmospheric Research/Earth Observing Laboratory (NCAR/EOL: http://catalog.eol.ucar.edu/dycoms). The images are produced by the Hydrometeorological Predication Center (HPC) every three hours and include the surface analysis including sea level pressure contours, frontal positions, and some surface stations plots. The products cover the period from 1-31 July 2001 and cover the region from about 15-80 N and 30-180 W. The products were acquired from the National Oceanic and Atmospheric Administration (NOAA) Hydrometeorological Prediction Center.

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
Spatial Type raster
Frequency 3 hourly
Language English
Categories
Documentation

Temporal coverage

Begin datetime 2001-07-01 00:00:00
End datetime 2001-07-31 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 80.00, Minimum (South) Latitude: 15.00
Minimum (West) Longitude: -180.00, Maximum (East) Longitude: -30.00

Primary point of contact information

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

Citation

Example citation following ESIP guidelines:

UCAR/NCAR - Earth Observing Laboratory. 2008. DYCOMS-II Surface: HPC North America Surface Analysis Imagery. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://data.eol.ucar.edu/dataset/68.022. Accessed 17 Nov 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.