Espectro cruzado e coerência wavelet : um estudo de variáveis micrometeorológicas em frações urbanas na cidade de Cuiabá, MT

Abstract

Climate is an example of a system that can be characterized as complex, subject to the various natural and human variables interferences. Urban microclimates and topoclimates need effective methodologies in locating phenomena coexisting with multiscale approaches that demonstrate their relational character. Air temperature and air relative humidity and wind are microclimatic variables which can be evaluated for their qualitative characteristics of energy flows. The aim of this work was to analyze the power spectra of the air temperature and air relative humidity data series using the Traditional Morlet Wavelet Transform, Wavelet Crossed Transform, and Wavelet Coherence Analysis. The daily, monthly and annual scales studied and the results demonstrated the significant interrelationships between the variables. The wavelet coherences found were validated by the Monte Carlo Method, scales and spectrograms representing seasonal and daily cycle frequencies. The urban fractions presented behavior in accordance with the seasonality of tropical climates of Cerrado, as well as, the interference of the urban roughness. WTC, WTX and WC tools are adequate in urban analysis, monitoring and planning, qualitatively reflecting the urban dynamics of microenvironments.