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Rainfall dynamics in an ecologically vulnerable area using applied algebraic topology methods

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  • Andjelković, Miroslav
  • Maletić, Slobodan
  • Stosic, Tatijana
  • Stosic, Borko

Abstract

Applied algebraic topology is employed in this work to shed new light on the rainfall dynamics in the Pernambuco state, Brazil. Historical data from the NASA’s Tropical Rainfall Measuring Mission (TRMM) precipitation processing system, for the period 1998 to 2020 with a spatial resolution of 0.25° and temporal resolution of 3 h is used to construct correlation matrices in different time frames. Matrices are then analyzed in terms of topological constructs of network theory to yield novel insights into this highly complex phenomenon in this semiarid, ecologically vulnerable area. The outcomes of the algebraic topological analysis reveal clustering patterns of areas and are related to natural climate phenomena. Together with the generality of the applied methodology, the results suggest a broad scope of future applications for the extraction of patterns in datasets related to the changes in the climate system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:chsofr:v:182:y:2024:i:c:s0960077924003345
    DOI: 10.1016/j.chaos.2024.114782
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    References listed on IDEAS

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    1. Nathan S. Debortoli & Pedro Ivo M. Camarinha & José A. Marengo & Regina R. Rodrigues, 2017. "An index of Brazil’s vulnerability to expected increases in natural flash flooding and landslide disasters in the context of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 557-582, March.
    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. Mark Maslin & Patrick Austin, 2012. "Climate models at their limit?," Nature, Nature, vol. 486(7402), pages 183-184, June.
    4. Silva, Antonio Samuel Alves & Menezes, Rômulo Simões Cezar & Rosso, Osvaldo A. & Stosic, Borko & Stosic, Tatijana, 2021. "Complexity entropy-analysis of monthly rainfall time series in northeastern Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    5. Jessica L. Nielson & Jesse Paquette & Aiwen W. Liu & Cristian F. Guandique & C. Amy Tovar & Tomoo Inoue & Karen-Amanda Irvine & John C. Gensel & Jennifer Kloke & Tanya C. Petrossian & Pek Y. Lum & Gun, 2015. "Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury," Nature Communications, Nature, vol. 6(1), pages 1-12, December.
    6. 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.
    7. 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.
    8. 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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