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Assessing Rainfall Variability in Jamaica Using CHIRPS: Techniques and Measures for Persistence, Long and Short-Term Trends

Author

Listed:
  • Cheila Avalon Cullen

    (CREST Institute, Chemistry, Earth & Environmental Sciences Department, The Graduate Center, The City University of New York, New York, NY 10031, USA)

  • Rafea Al Suhili

    (Civil Engineering Department, City College of New York, The City University of New York, New York, NY 10031, USA)

Abstract

Jamaica, as a Small Island Developing State (SIDS), is highly vulnerable to weather extremes. As precipitation persistence is a critical factor in determining the susceptibility of an area to risks, this work assesses the spatial and temporal variations of rainfall persistence in Jamaica from 1981 to 2020, using satellite-based information. The Hurst exponent (H) and the serial correlation coefficient (SCC) are used to evaluate the long-term persistence of precipitation and the Persistence Threshold (PT) concept is introduced to provide a description of rainfall characteristics over short periods, specifically, the number of consecutive days with precipitation above or below a set threshold value. The PT method is a novel concept that expands upon the Consecutive Dry Days (CDD) and Consecutive Wet Days (CWD) methods that only consider a threshold of 1 mm. Results show notable temporal and spatial variations in persistence over the decades, with an overall increasing trend in high precipitation persistence and a decreasing trend in low precipitation persistence. Geographically, the northern mountainous area of Jamaica received the most persistent rainfall over the study period with an observed increase in extreme rainfall events. The excess rainfall of the 2001–2010 decade is remarkable in this study, coinciding with the global unprecedented climate extremes during this time. We conclude that the data used in this study is viable for understanding and modeling rainfall trends in SIDS like Jamaica, and the derived PT method is a useful tool for short-term rainfall trends, but it is just one step toward determining flood or drought risk. Further research will focus on developing drought and flood indices.

Suggested Citation

  • Cheila Avalon Cullen & Rafea Al Suhili, 2023. "Assessing Rainfall Variability in Jamaica Using CHIRPS: Techniques and Measures for Persistence, Long and Short-Term Trends," Geographies, MDPI, vol. 3(2), pages 1-23, May.
  • Handle: RePEc:gam:jgeogr:v:3:y:2023:i:2:p:20-397:d:1156754
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    References listed on IDEAS

    as
    1. Dino Collalti & Eric Strobl, 2022. "Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica," 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. 110(3), pages 2059-2086, February.
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    Cited by:

    1. Ailton Alves de Carvalho & Marcelo José Gama da Silva & Fabiane Rabelo da Costa Batista & Jucilene Silva Araújo & Abelardo Antônio de Assunção Montenegro & Thieres George Freire da Silva & Thayná Alic, 2023. "Spatio-Temporal Dynamics and Physico-Hydrological Trends in Rainfall, Runoff and Land Use in Paraíba Watershed," Geographies, MDPI, vol. 3(4), pages 1-14, November.
    2. Hartwig H. Hochmair & Gerhard Navratil & Haosheng Huang, 2023. "Perspectives on Advanced Technologies in Spatial Data Collection and Analysis," Geographies, MDPI, vol. 3(4), pages 1-5, November.

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