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Polarization Lidar Liquid Cloud Detection Algorithm for Winter Mountain StormsWe have collected an extensive polarization lidar dataset from elevated sites in the Tushar Mountains of Utah in support of winter storm cloud seeding research and experiments. Our truck-mounted ruby lidar collected zenith, dual-polarization lidar data through a roof window equipped with a wiper system to prevent snowfall accumulation. Lidar returns were collected at a rate of one shot every 1 to 5 min during declared storm periods over the 1985 and 1987 mid-Jan. to mid-Mar. Field seasons. The mid-barrier remote sensor field site was located at 2.57 km MSL. Of chief interest to weather modification efforts are the heights of supercooled liquid water (SLW) clouds, which must be known to assess their 'seedability' (i.e., temperature and height suitability for artificially increasing snowfall). We are currently re-examining out entire dataset to determine the climatological properties of SLW clouds in winter storms using an autonomous computer algorithm.
Document ID
19920020080
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Sassen, Kenneth
(Utah Univ. Salt Lake City, UT, United States)
Zhao, Hongjie
(Utah Univ. Salt Lake City, UT, United States)
Date Acquired
September 6, 2013
Publication Date
July 1, 1992
Publication Information
Publication: NASA. Langley Research Center, Sixteenth International Laser Radar Conference, Part 1
Subject Category
Meteorology And Climatology
Accession Number
92N29323
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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