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Influence of Meteorological Input Data on Backtrajectory Cluster Analysis – a Seven-year Study for Southeastern Spain : Volume 2, Issue 1 (22/05/2008)

By Cabello, M.

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Book Id: WPLBN0003978147
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Influence of Meteorological Input Data on Backtrajectory Cluster Analysis – a Seven-year Study for Southeastern Spain : Volume 2, Issue 1 (22/05/2008)  
Author: Cabello, M.
Volume: Vol. 2, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Ruiz, G., Galiano, V., G. Orz, J. A., & Cabello, M. (2008). Influence of Meteorological Input Data on Backtrajectory Cluster Analysis – a Seven-year Study for Southeastern Spain : Volume 2, Issue 1 (22/05/2008). Retrieved from

Description: SCOLAb, Física Aplicada, Universidad Miguel Hernández, Elche, Spain. Backtrajectory differences and clustering sensitivity to the meteorological input data are studied. Trajectories arriving in Southeast Spain (Elche), at 3000, 1500 and 500 m for the 7-year period 2000–2006 have been computed employing two widely used meteorological data sets: the NCEP/NCAR Reanalysis and the FNL data sets. Differences between trajectories grow linearly at least up to 48 h, showing faster growing after 72 h. A k-means cluster analysis performed on each set of trajectories shows differences in the identified clusters (main flows), partially because the number of clusters of each clustering solution differs for the trajectories arriving at 3000 and 1500 m. Trajectory membership to the identified flows is in general more sensitive to the input meteorological data than to the initial selection of cluster centroids.

Influence of meteorological input data on backtrajectory cluster analysis – a seven-year study for southeastern Spain

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