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Detection of supercooled cloud by radar: Algorithm comparisons with aircraft data

Posted on:2004-09-15Degree:M.ScType:Thesis
University:McGill University (Canada)Candidate:Vecei, DanijelaFull Text:PDF
GTID:2458390011456858Subject:Physics
Abstract/Summary:
Two algorithms have been used for determining the quantity and spatial distribution of supercooled water in a cloud from the change in snow characteristics as snow falls to the ground. The snow density change algorithm is based on the change in snow density due to the riming process, while the snow flux gradient algorithm is based on changes in snow flux occurring as falling snow captures supercooled droplets. The data used to run and analyze the algorithms' results were collected during the Alliance Icing Research Study (AIRS) that took place at Mirabel during the winter of 1999--2000.;For the analyzed cases, the results of the two algorithms agreed well with each other. Furthermore, these results matched radiometric and aircraft measurements overall. Both algorithms demonstrated some limitations. Possible solutions to reduce some of the observed limitations include employing an algorithm for resolving trail patterns, and an algorithm for separating the drizzle from the snow echo.
Keywords/Search Tags:Algorithm, Supercooled, Snow
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