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A ground‐based multisensor cloud phase classifier
Author(s) -
Shupe Matthew D.
Publication year - 2007
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2007gl031008
Subject(s) - lidar , remote sensing , drizzle , cloud computing , meteorology , environmental science , snow , ceilometer , microwave radiometer , cloud top , radar , radiometer , geology , computer science , geography , operating system , telecommunications
A method for classifying cloud phase from a suite of ground‐based sensors is outlined. The method exploits the complementary strengths of cloud radar, depolarization lidar, microwave radiometer, and temperature soundings to classify clouds observed in the vertical column as ice, snow, mixed‐phase, liquid, drizzle, rain, or aerosol. Although the classification has been specifically designed for observations of Arctic clouds, the general framework is applicable to other locations with minor modifications. An example classification demonstrates the application to actual measurements.