厄尔尼诺/南方涛动对牙买加降雨模式的影响:CHIRPS 高分辨率数据对灾害风险管理的启示

Cheila Avalon-Cullen, Rafea Al Suhili, Nathaniel K. Newlands, Christy Caudill, Harvey Hill, Jaqueline Spence-Hemmings, Markus Enenkel
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引用次数: 0

摘要

本研究利用 1981 年至 2021 年 CHIRPS 在 370 个地点的数据,研究了厄尔尼诺南方涛动(ENSO)对牙买加降雨模式的影响。我们的分析揭示了厄尔尼诺/南方涛动对降雨的明显影响,与厄尔尼诺现象相比,拉尼娜阶段超过各种降雨阈值的概率一直较高。值得注意的是,拉尼娜现象增加了降雨量增大的可能性,尤其是在雨季,雨季 II 期间降雨量超过 200 毫米的概率高达 50%。从空间上看,在拉尼娜现象期间,东北部地区的月总降雨量(TMR)概率较高,表明该地区容易受到过量降雨的影响。此外,在厄尔尼诺现象期间,月总降雨量与最高气温(Tmax)之间的相关性明显增强,表明气温升高与降雨量之间存在更明显的正相关关系,相关系数从 0.39 到 0.80 不等。在厄尔尼诺/南方涛动的两个阶段,风速和蒸发蒸腾作用对 TMR 的影响微乎其微,保持稳定的相关模式,仅有轻微变化。这项研究的结果表明,有必要针对厄尔尼诺/南方涛动带来的独特气候特征,制定不同的水资源管理和灾害防备区域战略。这些见解有助于加深对气候影响的理解,对提高牙买加和其他小岛屿发展中国家的抗灾能力和适应能力至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ENSO Impacts on Jamaican Rainfall Patterns: Insights from CHIRPS High-Resolution Data for Disaster Risk Management
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.
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