The atmospheric phenomena are very important to maintain life, because they must be
study in many different ways. This work, the firs of this kind done to the Amazon,
investigates the link between those different phenomenons on the different time scales.
For that, a spectral analysis of air temperature, relative humidity, horizontal wind and
net radiation were done, using the wavelet transform into the data collected on
Caxiuanã’s micrometeorological tower during 2008. The general analysis of the energy
scalegram reveled that the diurnal cycle is the most energetic scale, that during the wet
season it appears with many gaps, due to many interruption on solar radiation caused by
the formation of clouds. On the wind scalegram there is significant difference between
the dry and wet seasons. On the first one, the gradient is bigger causing a higher wind
speed, and an increasing on the number of energy spots. The case studies show the
difference between both seasons. Case I (wet period) reveled that some large scale
systems were acting and reducing the activity of those of high frequency, as the satellite
images and synoptic charts confirmed that results. On Case II (dry period) the high
frequency became more important, as the large scale were not present at this time, the
phase scalegram shows more energy inside the diurnal and semi – diurnal cycle. Further
studies like this one, using different methodologies, a big time series or from others
places, will provide us with valuable information that are going to help on the
understanding of the local weather and climate modulators.
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