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

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Bibliographic Details
Published in:Advances in science and research 2008-05, Vol.2 (1), p.65-70
Main Authors: Cabello, M, Orza, J. A. G, Galiano, V, Ruiz, G
Format: Article
Language:English
Subjects:
Analysis
Astrophysics
Continental interfaces, environment
Cosmology and Extra-Galactic Astrophysics
Earth Sciences
Ocean, Atmosphere
Physics
Sciences of the Universe
Weather
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Summary: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.
ISSN:1992-0636
1992-0628
1992-0636
DOI:10.5194/asr-2-65-2008