Cayenne NRC Convair 1D Data

This dataset contains 1D data from the High Altitude Ice Crystals - High Ice Water Content (HAIC-HIWC) project that took place in Cayenne, French Guiana. The data are from the NRC Convair 580, operated by the National Research Council Canada, for the flights flown during the project, and are in csv format. The 1D data was collected from the following instruments: Convair 580 geoid altitude, AIMMS20, Rosemount Icing Detector, Robust probe, IKP, FSSP, CDP, 2DS, and PIP.

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Temporal Range

  • Begin:  2015-05-10T00:00:00Z
    End:  2015-05-27T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2015-05-10T00:00:00Z
Temporal Range End 2015-05-27T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 8.99647
Bounding Box South Lat 5.30371
Bounding Box West Long -53.75206
Bounding Box East Long -46.89898
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : readme.txt
Additional Information N/A
Resource Format CSV: Comma Separated Value (text/csv)
Standardized Resource Format ASCII
Asset Size 434 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Alexei Korolev
Ivan Heckman
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2017-06-02T20:35:19
Digital Object Identifier (DOI) https://doi.org/10.26023/PSC2-TTQS-390A
Alternate Identifier 486.020
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:43:18Z
Metadata Record Identifier edu.ucar.eol::486.020
Metadata Language eng; USA
Suggested Citation Alexei Korolev, Ivan Heckman. (2017). Cayenne NRC Convair 1D Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/PSC2-TTQS-390A. Accessed 08 November 2024.

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