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Detection of sea‐breeze events around London using a fuzzy‐logic algorithm
Author(s) -
Coceal Omduth,
Bohnenstengel Sylvia I.,
Kotthaus Simone
Publication year - 2018
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.846
Subject(s) - sea breeze , fuzzy logic , meteorology , front (military) , climatology , algorithm , dozen , environmental science , computer science , remote sensing , geology , geography , mathematics , artificial intelligence , arithmetic
We present an algorithm for detecting sea breezes based on fuzzy logic, using changes in variables commonly measured at meteorological stations. The method is applied to 1 year's worth of UK Met Office data (2012) measured at several stations around London, UK. Results indicate about a dozen potential events over the year, when matched against corresponding detections at a coastal reference site (Gravesend). In some cases the time lags between corresponding events detected at different stations can be used to characterize the average propagation speed of the sea‐breeze front. Advantages and disadvantages of the method are discussed.

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