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Giant Cloud Condensation Nuclei (CCN) Impactor Data

Summary

The NCAR/EOL/RAF Giant Cloud Condensation Nuclei Impactor (GNI) samples giant aerosol particles.  This data set was acquired during the SOCRATES project. 

Slides were exposed in the free air stream onto uncoated polycarbonate microscope slides. The slides were analyzed in the NCAR/EOL/RAF GNI slide chamber, using a dual-optical microscope. Slides were inserted into the humidified chamber with a relative humidity of  89.8 %. The images were analyzed using an automated edge detection algorithm, and using spherical cap geometry to determine the solution drop volume. Subsequently, the equivalent dry NaCl equivalent radius was determined using the Kohler equation for concentrated solutions, specifically Pruppacher and Klett, 1978, eq. 6.26b, using a full chemical potential calculation.

For a detailed description, see two manuscripts in preparation by Jensen et al., available from the author.

Archive note

Note: A dataset page and DOI were created for including in the PI's data processing. Dataset files will be made available once processing is complete.

Data access

This dataset is not currently available online. For more information, please email the primary point of contact.

Additional information

Identifier
Data Quality final
Versions
  • 1.0 (2019-02-19)
Metadata download

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Related projects
Spatial Type raster
Frequency no set schedule
Language English
Restrictions
  • authorization required

Temporal coverage

Begin datetime 2018-01-01 00:00:00
End datetime 2018-02-28 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: -30.00, Minimum (South) Latitude: -70.00
Minimum (West) Longitude: 130.00, Maximum (East) Longitude: 180.00

Primary point of contact information

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

Citation

Example citation following ESIP guidelines:

UCAR/NCAR - Earth Observing Laboratory. 2019. Giant Cloud Condensation Nuclei (CCN) Impactor Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/HN9Y-HEMX-3C0J. Accessed 21 Sep 2019.

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