Impact of El Niño, Indian Ocean dipole, and Madden–Julian oscillation on land surface temperature in Kuching City Sarawak, during the periods of 1997/1998 and 2015/2016: a pilot study

Ricky Anak Kemarau, Wee Hin Boo, Zaini Sakawi, Ramzah Dambul, S. A. Suab, W. S. Wan Mohd Jaafar, O. V. Eboy, Muhammad Ammar Fakhry Norzin
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Abstract

The severe El Niño events of 1997/1998 and 2015/2016 caused significant disruptions in Southeast Asia, particularly in Borneo, resulting in hazardous haze and acute water shortages. This study examines the influence of El Niño, the Indian Ocean Dipole (IOD), and the Madden–Julian oscillation (MJO) on regional climate, using time-series data from February 1993 to December 2020. Data from El Niño, IOD, and MJO indices were integrated with Landsat 5 and 8 land surface temperature records, allowing for a detailed analysis of their combined effects on regional temperature and precipitation patterns. Time-series trend decomposition and the generalized linear mixed model approach identified the Oceanic Niño Index (ONI) as a significant driver of temperature increases and dry spell occurrences ONLY during the peak El Niño years. On the other hand, ONI correlated strongly with mean monthly temperatures, underscoring its dominant influence. In addition, the IOD was found to significantly affect regional temperatures with a regression coefficient of 0.38867 (p = 0.0455), indicating its significant but less pronounced impact compared with ONI. These findings clarify the dynamics between key climate indices and their impact on regional climate extremes, offering critical insights for improving climate resilience and adaptation in tropical regions.
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1997/1998 年和 2015/2016 年期间厄尔尼诺、印度洋偶极子和马登-朱利安振荡对沙捞越古晋市陆地表面温度的影响:一项试点研究
1997/1998 年和 2015/2016 年发生的严重厄尔尼诺现象对东南亚,尤其是婆罗洲造成了严重破坏,导致有害的雾霾和严重的水资源短缺。本研究利用 1993 年 2 月至 2020 年 12 月的时间序列数据,研究了厄尔尼诺、印度洋偶极子(IOD)和马德登-朱利安振荡(MJO)对区域气候的影响。厄尔尼诺、印度洋偶极子和马德登-朱利安振荡指数的数据与大地遥感卫星 5 号和 8 号的陆地表面温度记录相结合,可以详细分析它们对区域气温和降水模式的综合影响。时间序列趋势分解和广义线性混合模型方法发现,海洋尼诺指数(ONI)是气温上升和干旱发生的重要驱动因素,且仅在厄尔尼诺高峰年出现。另一方面,海洋尼诺指数与月平均气温密切相关,突出了其主导影响。此外,IOD 对区域气温也有显著影响,回归系数为 0.38867(p = 0.0455),表明其影响显著,但不如 ONI 那么明显。这些发现阐明了主要气候指数之间的动态关系及其对区域极端气候的影响,为提高热带地区的气候抗御能力和适应能力提供了重要启示。
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