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Spatial and Temporal Variability of Precipitation Complexity in Northeast Brazil

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  • Antonio Samuel Alves da Silva

    (Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Av. Manoel Medeiros S/N, Dois Irmãos, Recife 52171-900, PE, Brazil)

  • Ikaro Daniel de Carvalho Barreto

    (Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Av. Manoel Medeiros S/N, Dois Irmãos, Recife 52171-900, PE, Brazil)

  • Moacyr Cunha-Filho

    (Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Moraes Rego 1235, Cidade Universitária, Recife 50670-901, PE, Brazil)

  • Rômulo Simões Cezar Menezes

    (Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Moraes Rego 1235, Cidade Universitária, Recife 50670-901, PE, Brazil)

  • Borko Stosic

    (Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Av. Manoel Medeiros S/N, Dois Irmãos, Recife 52171-900, PE, Brazil)

  • Tatijana Stosic

    (Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Av. Manoel Medeiros S/N, Dois Irmãos, Recife 52171-900, PE, Brazil)

Abstract

In this work, we analyze the regularity of monthly rainfall temporal series during the period 1953 to 2012, recorded at 133 gauging stations in the state of Pernambuco, northeastern Brazil. We use sample entropy method (SampEn), which is suitable for short and noisy data and recently attracted the attention of hydrologists as promising for rainfall studies. By comparing the SampEn values of the analyzed series, we find that for both the original and deseasonalized series entropy increases (regularity decreases) in the west–east direction from the inland Sertão region towards the coastal Zona da Mata . SampEn values for the semiarid Sertão region are significantly different from the humid coastal Zona da Mata and subhumid transition Agreste regions. By comparing two 30 year subperiods (1953–1982 and 1983–2012), we found that in the second period, the rainfall amount decreases in Sertão and Agreste , and increases in Zona de Mata, and that the Agreste and Zona da Mata regions become more similar in respect to the regularity of rainfall dynamics. In the second subperiod, the rainfall regime changes the most in Zona da Mata (both original and anomalies series show a significant difference in SampEn values). By analyzing time dependent SampEn, we identified several periods of increasing entropy, which are related to specific climatic phenomena such as subsequent El Niño and La Niña episodes. This work represents a contribution to establishing the use of information theory-based methods in climatological studies.

Suggested Citation

  • Antonio Samuel Alves da Silva & Ikaro Daniel de Carvalho Barreto & Moacyr Cunha-Filho & Rômulo Simões Cezar Menezes & Borko Stosic & Tatijana Stosic, 2022. "Spatial and Temporal Variability of Precipitation Complexity in Northeast Brazil," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13467-:d:946564
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    References listed on IDEAS

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    1. Batra, Luckshay & Taneja, H.C., 2020. "Evaluating volatile stock markets using information theoretic measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Robin Chadwick & Peter Good & Gill Martin & David P. Rowell, 2016. "Large rainfall changes consistently projected over substantial areas of tropical land," Nature Climate Change, Nature, vol. 6(2), pages 177-181, February.
    3. Niklas Boers & Bedartha Goswami & Aljoscha Rheinwalt & Bodo Bookhagen & Brian Hoskins & Jürgen Kurths, 2019. "Complex networks reveal global pattern of extreme-rainfall teleconnections," Nature, Nature, vol. 566(7744), pages 373-377, February.
    4. Jose Marengo & Mauro Bernasconi, 2015. "Regional differences in aridity/drought conditions over Northeast Brazil: present state and future projections," Climatic Change, Springer, vol. 129(1), pages 103-115, March.
    5. Efremidze, Levan & Stanley, Darrol J. & Kownatzki, Clemens, 2021. "Entropy trading strategies reveal inefficiencies in Japanese stock market," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 464-477.
    6. Stefan Hastenrath, 2012. "Exploring the climate problems of Brazil’s Nordeste: a review," Climatic Change, Springer, vol. 112(2), pages 243-251, May.
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    Cited by:

    1. Andjelković, Miroslav & Maletić, Slobodan & Stosic, Tatijana & Stosic, Borko, 2024. "Rainfall dynamics in an ecologically vulnerable area using applied algebraic topology methods," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    2. Ahmad Alsharef & Sonia & Karan Kumar & Celestine Iwendi, 2022. "Time Series Data Modeling Using Advanced Machine Learning and AutoML," Sustainability, MDPI, vol. 14(22), pages 1-19, November.

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