Cloud Condensation Nuclei (CCN) Number Concentration Data

This data set contains NSF/NCAR C-130 CCN (Cloud Condensation Nuclei) Number Concentration Data collected during the WE-CAN (Western Wildfire Experiment for Cloud Chemistry, Aerosol, Absorption and Nitrogen) field project from 24 July through 13 September 2018. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.

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Temporal Range

  • Begin:  2018-07-24T00:00:00Z
    End:  2018-09-13T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2018-07-24T00:00:00Z
Temporal Range End 2018-09-13T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 49.00000
Bounding Box South Lat 35.00000
Bounding Box West Long -125.00000
Bounding Box East Long -100.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ICT: NASA ICARTT format
Standardized Resource Format ASCII
Asset Size 11 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 Ezra J.T. Levin
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2019-03-20T19:10:05
Digital Object Identifier (DOI) https://doi.org/10.26023/GVCA-T4JC-2X0R
Alternate Identifier 548.018
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:43:55Z
Metadata Record Identifier edu.ucar.eol::548.018
Metadata Language eng; USA
Suggested Citation Ezra J.T. Levin. (2019). Cloud Condensation Nuclei (CCN) Number Concentration Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/GVCA-T4JC-2X0R. Accessed 05 October 2024.

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