This research seeks to address the extent to which indices of large-scale modes of climate variability (El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD)) can be linked to physical differences in the local mean and extreme rainfall conditions experienced in the Maldives in order to suggest implications for disaster risk reduction (DRR). While some significant differences in precipitation metrics do occur at the local level between different phases of the large-scale modes of climate variability studied, they do not occur for all sites studied. While the constrained availability of historical meteorological data in the region is a limiting factor in this analysis, these findings suggest that with respect to decision-making related to extreme precipitation, ENSO/IOD forecasting may be most helpful on local scales, when supplementing an approach of on-going readiness in which communities are prepared to effectively manage hazards in any phase of the large-scale modes of climate variability studied. These conclusions are based on only precipitation; results may vary for other impacts including changing sea levels and sea surface temperatures.

这项研究旨在探讨气候变化的大规模模式指标（厄尔尼诺南方涛动（ENSO）和印度洋偶极子（IOD））在多大程度上可以与当地平均和极端降雨条件下的物理差异联系起来。马尔代夫，以提出降低灾害风险的建议。虽然在所研究的大规模气候变化模式的不同阶段的不同阶段之间，局部地区确实发生了降水量指标的一些显着差异，但并非对所有研究地点都存在这种差异。尽管该地区历史气象数据的可用性有限是该分析的限制因素，但这些发现表明，在与极端降水有关的决策方面，ENSO / IOD预报可能在当地范围内最有帮助，当补充一种持续就绪的方法时，在该方法中，社区准备在所研究的大规模气候变化模式的任何阶段中有效管理灾害。这些结论仅基于降水量。对于其他影响，包括变化的海平面和海面温度，结果可能会有所不同。