HR: 0800h
AN: A31A-07    [Abstracts]
TI: Climatology of Mexico: a Description Based on Clustering Analysis
AU: * Pineda-Martinez, L F
EM: lpineda@ipicyt.edu.mx
AF: Instituto Potosino de Investigacion Cientifica y Tecnologica, A. C., Camino a la Presa San José 2055 Col. Lomas 4, San Luis Potosi, SLP 78216., Mexico
AU: Carbajal, N
EM: noelc@ipicyt.edu.mx
AF: Instituto Potosino de Investigacion Cientifica y Tecnologica, A. C., Camino a la Presa San José 2055 Col. Lomas 4, San Luis Potosi, SLP 78216., Mexico
AB: Climate regions of Mexico are delimitated using hierarchical clustering analysis (HCA). We assign the variables, precipitation and temperature, to groups or clusters based on similar statistical characteristics. Since meteorological stations in Mexico expose a heterogonous geographic distribution, we used principal components analysis (PCA) to obtain a standardized reduced matrix to apply conveniently HCA. We consider monthly means of maxima and minima temperature and monthly accumulated precipitation from a meteorological dataset of the National Water Commission of Mexico. It allows defining groups of station delimiting regions of similar climate. It also allows describing the regional effect of events such as the Mexican monsoon and ENSO.
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1620 Climate dynamics (0429, 3309)
DE: 3305 Climate change and variability (1616, 1635, 3309, 4215, 4513)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly