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Cloud-Radiation Feedback: Boundary Layer Cloud Microphysical Properties and Processes

Summary

This data set includes Surface Heat Budget of the Arctic (SHEBA) cloud microphysical data collected onboard the National Center for Atmospheric Research (NCAR) C-130 aircraft. This work focused on improving the quality of algorithms used to process in situ measurements collected during First International Satellite Cloud Climatology Project (ISCCP) Regional Experiment, Arctic Cloud Experiment (SHEBA/FIRE, ACE) and applying the results to the analysis of five case studies. Such research was deemed valuable as a result of weaknesses and inconsistencies in the existing C-130 data set that were pointed out in a SHEBA workshop held in 2000. Data has been reprocessed by SPEC, Inc. to improve quality and add value to the measurements. Investigators selected five research days that were considered to be high priority by the SHEBA science team: 4 May, 8 July, 18 July, 28 July, and 29 July of 1998.

The data were originally distributed on a CD-ROM. The data are now available as a single tar.gz file that contains the contents of the CD-ROM.

Data access

Additional information

Identifier
Versions
  • 1.0 (2009-04-05)
Metadata download

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Related projects
Spatial Type multiple
Language English
Grant Code OPP-0084314
ISO Topic Categories
  • climatologyMeteorologyAtmosphere
Categories
Platforms
Documentation
Related links

Temporal coverage

Begin datetime 1998-07-04 00:00:00
End datetime 1998-07-29 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 78.6105, Minimum (South) Latitude: 75.4442
Minimum (West) Longitude: -167.2124, Maximum (East) Longitude: -160.6095

Primary point of contact information

Paul Lawson <plawson@specinc.com>

Additional contact information

Citation

Example citation following ESIP guidelines:

Lawson, P. 2009. Cloud-Radiation Feedback: Boundary Layer Cloud Microphysical Properties and Processes. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D68050QQ. Accessed 18 Nov 2019.

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