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Automatic detection of boundary layer height from Doppler lidar using K-means algorithm.

Rieutord, Thomas Automatic detection of boundary layer height from Doppler lidar using K-means algorithm. (2014) [Mémoire]

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Abstract

Atmospheric boundary layer height is a parameter of first interest for both research and operational issues. The High Resolution Doppler Lidar from NOAA can measure both backscatter and wind profiles. From these data, this work propose to derive a single estimate of boundary layer height that can deal with unavailability of one type of data. This is done thanks to the K-means algorithm. It has been compared with 2 other methods and it is shown to have large success and availability rates.

Item Type:Mémoire
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Météo France (FRANCE)
Laboratory name:
Research Director:
Brewer, Alan and Hardesty, Mike
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Deposited By: Thomas RIEUTORD
Deposited On:20 Oct 2016 12:34

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