Clustering a Global Field of Atmospheric Profiles by Mixture Decomposition of Copulas

This work focuses on the clustering of a large dataset of atmospheric vertical profiles of temperature and humidity in order to model a priori information for the problem of retrieving atmospheric variables from satellite observations. Here, each profile is described by cumulative distribution funct...

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Veröffentlicht in:	Journal of atmospheric and oceanic technology 2005-10, Vol.22 (10), p.1445-1459
Hauptverfasser:	Vrac, M, Chedin, A, Diday, E
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric models Atmospherics Clustering Clusters Density Distribution functions Humidity Marine Mathematical models Meteorological satellites Meteorology Partitions Specific humidity Temperature
Online-Zugang:	Volltext
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