%0 Journal Article
%T Caracterizaci車n de sondeos estivales del norte de Mendoza mediante el an芍lisis de componentes principales y obtenci車n de un 赤ndice de convecci車n Characterization Of Summer Soundings From Northern Mendoza By Principal Components Analysis And The Obtaining Of A Convection Index
%A Diego C Araneo
%A Silvia C Simonelli
%A Federico A Norte
%A Maximiliano Viale
%J Meteorologica
%D 2011
%I Centro Argentino de Meteor車logos
%X Se utiliz車 el an芍lisis de componentes principales para caracterizar radiosondeos estivales del norte de Mendoza, evaluando su capacidad para identificar patrones asociados a la ocurrencia de convecci車n y definiendo un 赤ndice de inestabilidad. Se tomaron 326 casos, construyendo una matriz de anomal赤as de temperatura (T) y temperatura de punto de roc赤o (Td) de los niveles est芍ndar entre 850 y 300 hPa. El an芍lisis arroj車 6 componentes significativas que explican m芍s del 91% de varianza. As赤 se obtuvieron 12 patrones que representan condiciones atmosf谷ricas diferenciadas. Las mayores correlaciones entre patrones y casos de convecci車n (C) y no convecci車n (NC), se obtuvieron para las componentes 6, 2, 4 y 3. La convecci車n se favorecer赤a en entornos relativamente h迆medos con un marcado gradiente de T en niveles medios y altos, mientras se inhibir赤a con capas secas en niveles medios y altos, y d谷biles gradientes de T en capas bajas. El indicador de C/NC puede estimarse por regresi車n m迆ltiple log赤stica dependiente de las componentes de carga, con una correlaci車n conjunta de 0,5, determinando un 赤ndice de estabilidad/inestabilidad calculable a partir de los perfiles de T y Td y dependiente de las caracter赤sticas climatol車gicas de la regi車n. El 赤ndice mostr車 una efectividad del 72%. The Principal Components Analysis was used to characterize the summery North Mendoza rawinsondes, evaluating their capacity to identify patterns associated to the convection occurrence and defining an instability index. It was selected 326 cases, building an entry matrix with the temperature and dew point temperature anomalies for the standard levels between 850 and 300 hPa. The analysis showed 6 significant components that explain more than 91% of variance. Therefore, 12 patterns were obtained, which represent different atmospheric conditions. The main correlations between the patterns and convection (C) and non convection (NC) cases were obtained for the components 6, 2, 4 and 3. The relatively wet environments with a strong gradient of T at mean and high levels would favour the convection, while it is inhibited with dry layers in mean and high levels, and weak gradients of T in low layers. The C/NC index can be estimated by a logistic multiple regression dependent to the component loadings, with a correlation of 0,5, determining a stability/instability index calculable from the T and Td profiles and it depends on the climatological features of the region. The index showed an efficiency of 72%.
%K Norte de Mendoza
%K Radiosondeos
%K Convecci車n
%K 赤ndice de inestabilidad
%K North of Mendoza
%K Rawinsondes
%K Convection
%K Instability index
%U http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1850-468X2011000100003