| Volumes Volume 2 |
www.adv-sci-res.net/2/65/2008/
doi:10.5194/asr-2-65-2008
© Author(s) 2008. This work is distributed
under the Creative Commons Attribution 3.0 License.
Influence of meteorological input data on backtrajectory cluster analysis – a seven-year study for southeastern Spain
SCOLAb, Física Aplicada, Universidad Miguel Hernández, Elche, Spain
Abstract. 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.
Full Paper (PDF, 202 KB)
Citation: Cabello, M., Orza, J. A. G., Galiano, V., and Ruiz, G.: Influence of meteorological input data on backtrajectory cluster analysis – a seven-year study for southeastern Spain, Adv. Sci. Res., 2, 65-70, doi:10.5194/asr-2-65-2008, 2008. Bibtex EndNote Reference Manager XML
