Multivariate structure of meteorological data in two cities in different regions of the state of Ceará

Abstract

To identify and evaluate the importance of meteorological elements applied to multivariate statistical Factor Analysis / Principal Component Analyses. This technique was applied in order to identify the relative importance of the different variables involved in meteorological processes in two cities, Fortaleza and Crateús of different climatic conditions located in Ceará, Brazil. The cities of Fortaleza and Crateús respectively show climate type Aw’ hot-humid tropical rainy and BSw’h’ and semiarid. The time series used in this study were provided by INMET, (National Institute of Meteorology). By use of Factor Analysis/Principal Components Analysis model to better fit comprised of three components was identified, explaining 83.04% of total variance for Fortaleza and two components, explaining 77.96 % of total variance for Crateús. Fortification The first component is related to the gradient of vapor pressure of the air, the second component is linked to the heating and near surface atmospheric pressure atmosphere , and the third component expressed aerodynamic effect. To Crateús, the first component is related to the cumulative effect of the main features of the process of the vapor pressure deficit of the air, warming the air near the surface and aerodynamic effect, the second component representing the secondary influence of minimum temperature and the effect atmospheric pressure in the region of semi-arid climate.