Multiscale Complexity Analysis of Rainfall in Northeast Brazil

In this work, we analyze the complexity of monthly rainfall temporal series recorded from 1962 to 2012, at 133 gauge stations in the state of Pernambuco, northeastern Brazil. To this end, we employ the modified multiscale entropy method (MMSE), which is well suited for short time series, to analyze...

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Bibliographic Details
Published in:Water (Basel) 2021-11, Vol.13 (22), p.3213
Main Authors: Silva, Antonio Samuel Alves da, Barreto, Ikaro Daniel de Carvalho, Cunha-Filho, Moacyr, Menezes, Rômulo Simões Cezar, Stosic, Borko, Stosic, Tatijana
Format: Article
Language:English
Subjects:
Climate change
Drought
Entropy
Hydrology
Information theory
Landslides & mudslides
Multiscale analysis
Precipitation
Rain
Rainfall
Regions
Regularity
Standard deviation
Statistical analysis
Stream flow
Time series
Trends
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Summary:In this work, we analyze the complexity of monthly rainfall temporal series recorded from 1962 to 2012, at 133 gauge stations in the state of Pernambuco, northeastern Brazil. To this end, we employ the modified multiscale entropy method (MMSE), which is well suited for short time series, to analyze the rainfall regularity across a wide range of temporal scales, from one month to one year. We identify the temporal scales that distinguish rainfall regularity in the inland semiarid Sertão region, the transitional inland Agreste region, and the coastal, tropical humid Zona da Mata region, by comparing the results for stations across the study area and performing statistical significance tests. Our work contributes to the establishment of multiscale methods based on information theory in climatological studies.
ISSN:2073-4441
2073-4441
DOI:10.3390/w13223213