Classification of Clouds Sampled at the Puy de Dôme Station (France) Based on Chemical Measurements and Air Mass History Matrices

A statistical analysis of 295 cloud samples collected at the Puy de Dôme station in France (PUY), covering the period 2001–2018, was conducted using principal component analysis (PCA), agglomerative hierarchical clustering (AHC), and partial least squares (PLS) regression. Our model classified the c...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Pascal Renard, Angelica Bianco, Jean-Luc Baray, Maxime Bridoux, Anne-Marie Delort, Laurent Deguillaume
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2020-07-01
Σειρά:	Atmosphere
Θέματα:	Puy de Dôme station (PUY) cloud chemistry and physics air mass history oceanic vs. continental influences partial least squares (PLS) regression
Διαθέσιμο Online:	https://www.mdpi.com/2073-4433/11/7/732
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