Analysis of Climate Variability of Homogeneous Regions of Rainfall Anomalies in Southeast South America ( <scp>SESA</scp> )

ABSTRACT Rainfall variability in Southeastern South America (SESA) is influenced by local, regional, and global factors, as well as complex interactions between the Pacific and Atlantic Oceans. This study aims to characterise the monthly variability and cyclicity of the time series for six Homogeneous Regions of Rainfall Anomalies (HRRA) in SESA from 1961 to 2020 and analyse the climatic variability of precipitation in these regions. Monthly rainfall data from the Climatic Research Unit were used. The six HRRA are located between 32°–40° S (regions 1–2), 24°–32° S (HRRA‐3–4), and 20°–27° S (regions 5–6). Time series for each HRRA were calculated based on the average of its four central points. Boxplots of monthly totals were created, and the Standard Normal Homogeneity Test (SNHT) and Wavelet Transform (WT) were applied to the anomaly series. Results indicate that HRRA‐1, 2, 4, 5, and 6 are influenced by regional circulation, with dry/rainy periods in winter/summer. HRRA‐4–6 show climatological features typical of the monsoon, while HRRA‐3 exhibits variability without a dominant dry or rainy season. Boxplots reveal greater variability in spring, summer, and fall. SNHT detected structural breaks in 1972, 1976, 2000, 2009, and 2019, corresponding to HRRA‐1, 4, 2, 6, 3, and 5, respectively. WT analysis revealed significant influences in seasonal, interannual, and interdecadal cycles across all regions. Seasonal variability predominates in HRRAs‐1, 4, and 6, while interannual variability, linked to ENSO, SAM, and PSA, dominates in HRRAs‐2, 3, and 5. Interdecadal cycles were observed in HRRAs‐1, 2, 3, and 5, suggesting PDO influence.

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Publication Details

Journal
International Journal of Climatology
Published
2026-05-29
DOI
https://doi.org/10.1002/joc.70434
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

Analysis of Climate Variability of Homogeneous Regions of Rainfall Anomalies in Southeast South America ( SESA )

Tainã Costa Peres, Denílson Ribeiro Viana, Éder Leandro Bayer Maier, Francisco Eliseu Aquino et al.
International Journal of Climatology
Climate variability and models
article

Analysis of Climate Variability of Homogeneous Regions of Rainfall Anomalies in Southeast South America ( SESA )

Tainã Costa Peres, Denílson Ribeiro Viana, Éder Leandro Bayer Maier, Francisco Eliseu Aquino, Pedro Peixeira Valente
article en

Abstract

ABSTRACT Rainfall variability in Southeastern South America (SESA) is influenced by local, regional, and global factors, as well as complex interactions between the Pacific and Atlantic Oceans. This study aims to characterise the monthly variability and cyclicity of the time series for six Homogeneous Regions of Rainfall Anomalies (HRRA) in SESA from 1961 to 2020 and analyse the climatic variability of precipitation in these regions. Monthly rainfall data from the Climatic Research Unit were used. The six HRRA are located between 32°–40° S (regions 1–2), 24°–32° S (HRRA‐3–4), and 20°–27° S (regions 5–6). Time series for each HRRA were calculated based on the average of its four central points. Boxplots of monthly totals were created, and the Standard Normal Homogeneity Test (SNHT) and Wavelet Transform (WT) were applied to the anomaly series. Results indicate that HRRA‐1, 2, 4, 5, and 6 are influenced by regional circulation, with dry/rainy periods in winter/summer. HRRA‐4–6 show climatological features typical of the monsoon, while HRRA‐3 exhibits variability without a dominant dry or rainy season. Boxplots reveal greater variability in spring, summer, and fall. SNHT detected structural breaks in 1972, 1976, 2000, 2009, and 2019, corresponding to HRRA‐1, 4, 2, 6, 3, and 5, respectively. WT analysis revealed significant influences in seasonal, interannual, and interdecadal cycles across all regions. Seasonal variability predominates in HRRAs‐1, 4, and 6, while interannual variability, linked to ENSO, SAM, and PSA, dominates in HRRAs‐2, 3, and 5. Interdecadal cycles were observed in HRRAs‐1, 2, 3, and 5, suggesting PDO influence.

International Journal of Climatology
Universidade Federal do Rio Grande (BR), Universidade Federal do Rio Grande do Sul (BR), University of Rio Grande and Rio Grande Community College (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Life below water
Openalex Percentile: Top 6%
Climate variability and models
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