Abstract
The risks of hydrological extremes for a location or region are associated with modes of climate variation, at their various time scales. The understanding of low frequency variability gains a high importance in regions where drought events are frequent, due to its association with long periods of consecutive droughts. This paper analyzed the relationship between the average rainfall of the Iguatu station, to the PDO (Pacific Decadal Oscillation) and AMO (Atlantic Multidecadal Oscillation) indexes, through the methodologies of Changepoint Analysis, Wavelet Transform (TO), Cross Wavelet Transform (XTC) and Wavelet Coherency Analysis (WTC). This station measures the inflow of the Orós reservoir, one of the most important in the state of Ceará (Brazil). The average rainfall of the basin was obtained from data of rain gauges. The results allowed to establish a relationship between the precipitation of the region and the PDO and AMO indexes, indicating that a model based on the indexes may have some predictive capacity for the local precipitation behavior. It is also noted that periods with simultaneously positive (negative) phases of the PDO and the AMO results in a more predictable behavior of the region’s precipitation, with values below (above) the normally expected.
Keywords:
PDO; AMO; precipitation; Ceará
