TITLE:
Statistical Analysis of Precipitation Extremes in São Francisco River Basin, Brazil
AUTHORS:
Nayara Arroxelas dos Santos Siqueira, Anderlan Henrique Batista Siqueira, Augusto José Pereira Filho
KEYWORDS:
Cross-Wavelet, Statistical Analysis, Hydrometeorology, Climatology
JOURNAL NAME:
Atmospheric and Climate Sciences,
Vol.12 No.2,
April
12,
2022
ABSTRACT: This
study comprises a climatology of the spatial variability of precipitation over the São Francisco River Basin (SFRB),
characterized by its geographic heterogeneity. The different rainfall regimes
in the region were analyzed through statistical and spectral analyses.
Measured precipitation data, Pacific Decennial Climate indexes, ENSO, Atlantic
Multidecadal Oscillation, North Atlantic Oscillation, Atlantic dipole, and the
sunspot cycle over 65 years were used. The rainfall data were filtered and
filled in using the regional weighting method. The spatial and temporal
variability of precipitation along the SFRB is remarkable. A pattern was
observed along with the time series of precipitation over the SFRB. The cluster
analysis identified four homogeneous regions in the SFRB and explained 87.4% of
the total variance of the average monthly rainfall of the 199 rain gauges. The
Cross-wavelet analysis identified the relationship between the precipitation
data series and the climatic indexes that are analyzed in this work.