The climate of northeastern Brazil is known for sharp swings: years of abundant rain alternate with severe droughts. These swings occur on various timescales, from within-year to multi-decadal. Understanding such cycles is important for water resource planning and agriculture. However, it remained unclear how much of the low-frequency rainfall variability is linked to global processes: solar activity and large-scale ocean-atmosphere circulation. This work fills that gap by comparing long observational records with wavelet analysis, which reveals how the periodicity of a signal changes over time.
The authors used monthly data from January 1933 to September 2016 (993 months) for three series: the Southern Oscillation Index (SOI), the Pacific Decadal Oscillation (PDO) index, and the monthly mean sunspot number. For rainfall, they used series from January 1951 to September 2017 at five weather stations at the airports of Belem, Sao Luis, Fortaleza, Natal, and Fernando de Noronha. The analysis was performed in the R statistical environment with the WaveletComp and biwavelet packages. They applied the Morlet wavelet transform with angular frequency 6, as well as cross-wavelet and wavelet coherence for pairs of series. Wavelet power spectra were constructed after bias correction following Liu et al. (2007) and Veleda et al. (2012).
In all three global series (SOI, PDO, sunspots), pronounced cycles were found with periods around 32 months (2.66 years), 64 months (5.33 years), 128 months (10.66 years), and 256 months (21.33 years). The most stable was the 11-year sunspot cycle, which also appears in the ocean indices. Cross-wavelet analysis showed synchrony of these cycles between series: for example, the PDO-SOI pair is dominated by the 21.33-year signal, while the sunspot-SOI pair shows the 10.66-year signal. In the rainfall series from the five stations, periods of 5.33, 10.66, and 21.33 years also stand out, with the 11-year cycle well expressed in Belem, Fortaleza, and Natal, and the 21-year cycle in Belem and Fernando de Noronha. All stations show a strong annual (12-month) peak, as expected for tropical rainfall.
The results confirm that low-frequency rainfall variability in northern and northeastern Brazil is not random but synchronized with global climate indices and solar activity. The presence of common cycles of 10.66 and 21.33 years points to a possible mechanism linking solar influence to oceanic circulation and regional rainfall. This contributes to understanding natural climate variability, which must be separated from the anthropogenic trend. For hydrology and agriculture in the region, such cycles could serve as a basis for statistical forecasts decades ahead.
In the future, the authors plan to study how the position of the Intertropical Convergence Zone (ITCZ) and the phases of the Atlantic Meridional Mode (AMM) modulate rainfall in the region on these timescales. They also intend to analyze the superposition of multi-decadal, intra-decadal, and seasonal cycles to identify periods of constructive interference when droughts or floods are amplified. The analysis may be extended to other meteorological variables and longer records.
The work touches on climatology, hydrology, agricultural meteorology, and solar-terrestrial physics. Understanding multi-decadal rainfall cycles could improve long-term water resource planning in semi-arid regions of Brazil.
Conduct an analysis of rainfall relationships with ITCZ and AMM indices on the same timescales. Investigate the spatial variability of rainfall and its connection to the general atmospheric circulation.
For climatology, the question remains open about the mechanisms that transmit the solar signal to the troposphere and ocean on decadal scales. It is also unclear how to separate natural multi-decadal variability from anthropogenic influence in regional rainfall. This work provides observational evidence of synchrony but does not reveal the physical mechanism, which remains a key problem.
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What the work does
The study compares wavelet spectra of solar activity (Wolf numbers), SOI and PDO indices, and monthly precipitation at five stations in northeastern Brazil over 1933–2017. Common periods of 2.66, 5.33, 10.66, and 21.33 years are identified, with the 10.66- and 21.33-year periods appearing across all types of series. The authors interpret this as a possible solar modulation of regional hydroclimate.
Where its strength is
A strong point is the application of cross-wavelet and coherence analysis to long time series, which reveals not only common frequencies but also their synchronization over time, especially for the 11- and 21-year cycles.
Where it could go next
Worth trying
Nearby works in our archive
The archive is sparse around this work: the closest review is only 0.49, against a usual 0.64. It looks like few have drilled nearby.
The sunspot cycle lasts on average 11 years, but over the past 80 years its length has varied from 8 to 17 years. Wavelet analysis allows you to see this period instability directly on the spectrogram.