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

被引:2
作者
Anak Kemarau, Ricky [1 ]
Boo, Wee Hin [1 ]
Sakawi, Zaini [1 ]
Dambul, Ramzah [2 ]
Suab, Stanley Anak [3 ]
Wan Mohd Jaafar, Wan Shafrina [1 ]
Eboy, Oliver Valentine [4 ]
Fakhry Norzin, Muhammad Ammar [1 ]
机构
[1] Univ Kebangsaan Malaysia, Inst Climate Change, Bangi 43600, Selangor, Malaysia
[2] Inst Dev Studies Sabah, Locked Bag 12, Kota Kinabalu 88994, Sabah, Malaysia
[3] Hokkaido Univ, Grad Sch Environm Sci, Sapporo 0600810, Japan
[4] Univ Sains Malaysia, Fac Social Sci & Humanities, Geog Program, Kota Kinabalu 88400, Sabah, Malaysia
基金
美国国家航空航天局;
关键词
El Ni & ntilde; o Southern Oscillation; Indian Ocean dipole; land surface temperature; Madden-Julian Oscillation; CLIMATE-CHANGE; NINO; PRECIPITATION; ENSO; VARIABILITY; EVENTS;
D O I
10.2166/wcc.2024.022
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The severe El Ni & ntilde;o 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 Ni & ntilde;o, 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 Ni & ntilde;o, 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 Ni & ntilde;o Index (ONI) as a significant driver of temperature increases and dry spell occurrences ONLY during the peak El Ni & ntilde;o 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.
引用
收藏
页码:3702 / 3723
页数:22
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