Ice Camp CTD Time Series (Matlab) [Stanton, T.]

These data represent 1m vertically binned values of temperature and salinity for each downcast of the Conductivity, Temperature, Depth (CTD) profiler. This time series was measured during the SHEBA ice station field program by co-PI's Stanton, Martinson, Morison and McPhee. An automated CTD winch repeatedly lowered a dual sensor Sea Bird 911+ CTD from the ice depth to 150m with approximately a 10 minute cycle time. The data are in Matlab format.

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Temporal Range

  • Begin:  1997-10-17T00:00:00Z
    End:  1998-10-17T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 1997-10-17T00:00:00Z
Temporal Range End 1998-10-17T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 80.00000
Bounding Box South Lat 70.00000
Bounding Box West Long -170.00000
Bounding Box East Long -130.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : stanton.mat.readme.txt
Additional Information N/A
Resource Format MATLAB (application/matlab)
Standardized Resource Format Matlab
Asset Size 28 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 Timothy P. Stanton
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2007-11-02T09:36:54
Digital Object Identifier (DOI) https://doi.org/10.5065/D69W0CVF
Alternate Identifier 13.528
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:46:12Z
Metadata Record Identifier edu.ucar.eol::13.528
Metadata Language eng; USA
Suggested Citation Timothy P. Stanton. (2007). Ice Camp CTD Time Series (Matlab) [Stanton, T.]. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D69W0CVF. Accessed 24 November 2024.

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