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Earth Observing Laboratory
Field Data Archive

ICE-L: National Weather Service Radiosonde Data

Summary

This is one of the upper air data sets developed for the Ice in Clouds Experiment 2007 (ICE-L 2007). This data set includes 487 high vertical resolution (1-second) Radiosonde Replacement System (RRS) soundings from the four National Weather Service (NWS) rawinsonde stations in the PLOWS 2008-2009 region (Grand Junction, CO; Boise, IA; Riverton, WY; and Salt Lake City, UT). Additionally, 245 high vertical resolution (6-second) MicroArt soundings from from Albuquerque, NM and Denver International Airport, CO NWS rawinsonde stations are included. The data cover the period from 1 November to 31 December 2007. The soundings were typically released twice a day (0000 and 1200 UTC). The data are in EOL Sounding Composite format (columnar ascii).

Data access

  • ORDER data for delivery by FTP
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Additional information

Identifier
Data Quality final
Versions
  • 1.0 (2009-10-02)
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Related projects
Spatial Type point
Frequency 12 hourly
Language English
Categories
Platforms
Instruments
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Documentation
Related links

Temporal coverage

Begin datetime 2007-11-01 00:00:00
End datetime 2007-12-31 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 45.00, Minimum (South) Latitude: 37.00
Minimum (West) Longitude: -110.00, Maximum (East) Longitude: -102.00

Primary point of contact information

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

Additional contact information

Citation

UCAR/NCAR - Earth Observing Laboratory, Loehrer, S. 2009. ICE-L: National Weather Service Radiosonde Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/R8TA-KS0B-1511. Accessed 10 Dec 2024.

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Ancillary information

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NSF

This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.