ENSO Impacts on Jamaican Rainfall Patterns: Insights from CHIRPS High-Resolution Data for Disaster Risk Management

Author:

Avalon-Cullen Cheila1ORCID,Al Suhili Rafea2ORCID,Newlands Nathaniel K.3ORCID,Caudill Christy4ORCID,Hill Harvey5,Spence-Hemmings Jaqueline6,Enenkel Markus7

Affiliation:

1. The Graduate Center, Bronx Community College, CUNY Remote Sensing Earth Systems Institute, The City University of New York, 365 5th Avenue, New York, NY 10016, USA

2. Civil Engineering Department, City College of New York, The City University of New York, 160 Convent Avenue, New York, NY 10031, USA

3. Agriculture and Agri-Food Canada, Science and Technology Branch, Summerland Research and Development Centre, 4200 Highway 97, Summerland, BC V0N 1Z0, Canada

4. Geomatics and Cartographic Research Centre (GCRC), Carleton University, 1125 Colonel Dr, Ottawa, ON K1S 5B6, Canada

5. Johnson-Shoyama Graduate School of Public Policy, 101 Diefenbaker Pl, Saskatoon, SK S7N 5B8, Canada

6. Meteorological Service of Jamaica, 65 3/4 Halfway Tree Road, Kingston 10, Jamaica

7. World Bank, 1818 H Street, N.W., Washington, DC 20433, USA

Abstract

This study examines the influence of the El Niño Southern Oscillation (ENSO) on Jamaica’s rainfall patterns, leveraging CHIRPS data from 1981 to 2021 in 370 locations. Our analysis reveals a distinct ENSO imprint on rainfall, with La Niña phases showing a consistently higher probability of exceeding various rainfall thresholds compared to El Niño. Notably, La Niña increases the likelihood of heavier rainfall, particularly in the wet seasons, with probabilities of exceeding 200 mm reaching up to 50% during wet season II. Spatially, the probability of total monthly rainfall (TMR) during La Niña is elevated in the northeastern regions, suggesting regional vulnerability to excess rainfall. Additionally, during El Niño, the correlation between TMR and the maximum air temperature (Tmax) is significantly stronger, indicating a positive and more pronounced relationship between higher temperatures and rainfall, with correlation coefficients ranging from 0.39 to 0.80. Wind speed and evapotranspiration show a negligible influence on TMR during both ENSO phases, maintaining stable correlation patterns with only slight variations. The results of this study underscore the necessity for differentiated regional strategies in water resource management and disaster preparedness, tailored to the unique climatic characteristics imposed by ENSO variability. These insights contribute to a refined understanding of climate impacts, essential for enhancing resilience and adaptive capacity in Jamaica and other small island developing states.

Publisher

MDPI AG

Subject

General Medicine

Reference38 articles.

1. Avalon-Cullen, C., Caudill, C., Newlands, N.K., and Enenkel, M. (2023). Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica. Geosciences, 13.

2. Landslide Susceptibility of Portland, Jamaica: Assessment and Zonation;Bhalai;Caribb. J. Earth Sci.,2010

3. Economic damages due to extreme precipitation during tropical storms: Evidence from Jamaica;Collalti;Nat. Hazards,2022

4. El Nino, La Nina, and the Southern Oscillation. S. George Philander. Academic Press: San Diego, CA, 1989. x, 293 pp., illus. 59.50. International Geophysics Series, vol. 46;Wunsch;Sci. Am. Assoc. Adv. Sci.,1990

5. Changes in extreme temperature and precipitation in the Caribbean region, 1961–2010;Stephenson;Int. J. Climatol.,2014

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