Pereira Filho, A.J., Vemado, F., Vemado, G., Reis, F., Giordano, L., Cerri, R., Santos, C., Lopes, E., Gramani, M., Ogura, A., Zaine, J., Cerri, L., Augusto Filho, O., Da Fonseca, F. and Amaral, C. (2018) A Step towards Integrating Cmorph Precipitation Estimation with Rain Gauge Measurements. Advances in Meteorology, 2018, Article ID: 2095304.
https://doi.org/10.1155/2018/2095304

has been cited by the following article:

• 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.