NOAA P3 AXCTD Data: DYNAMO Legacy Collection

This data set contains the water temperature and salinity data from the Airborne Expendable Conductivity Temperature Depth (AXCTD) that were deployed from the NOAA P3 aircraft over the Indian Ocean during DYNAMO. The data are in NetCDF format.

To Access Resource:

Questions? Email Resource Support Contact:

  • EOL Data Support
    datahelp@eol.ucar.edu
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2011-11-11T07:39:00Z
    End:  2011-12-13T07:23:00Z

Keywords

Resource Type dataset
Temporal Range Begin 2011-11-11T07:39:00Z
Temporal Range End 2011-12-13T07:23:00Z
Temporal Resolution N/A
Bounding Box North Lat 1.20000
Bounding Box South Lat -14.50000
Bounding Box West Long 69.80000
Bounding Box East Long 80.90000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : ocean_p3.pdf

Additional Information N/A
Resource Format NetCDF: Network Common Data Form (application/x-netcdf)
Standardized Resource Format NetCDF
Asset Size 3 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 Shuyi Chen
Qing Wang
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2019-03-06T19:21:22
Digital Object Identifier (DOI) https://doi.org/10.26023/81S6-VTT1-7D0X
Alternate Identifier 347.232
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:44:01Z
Metadata Record Identifier edu.ucar.eol::347.232
Metadata Language eng; USA
Suggested Citation Shuyi Chen, Qing Wang. (2019). NOAA P3 AXCTD Data: DYNAMO Legacy Collection. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/81S6-VTT1-7D0X. Accessed 24 November 2024.

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