期刊
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
卷 53, 期 4, 页码 489-500出版社
KOREAN METEOROLOGICAL SOC
DOI: 10.1007/s13143-017-0051-2
关键词
Trend analysis; quantile regression; rainfall extremes; river flow; Sarawak
资金
- Ministry of Education Malaysia
- Universiti Teknologi Malaysia [Q.J130000.2522.10H36]
Climate change may not change the rainfall mean, but the variability and extremes. Therefore, it is required to explore the possible distributional changes of rainfall characteristics over time. The objective of present study is to assess the distributional changes in annual and northeast monsoon rainfall (November-January) and river flow in Sarawak where small changes in rainfall or river flow variability/distribution may have severe implications on ecology and agriculture. A quantile regression-based approach was used to assess the changes of scale and location of empirical probability density function over the period 1980-2014 at 31 observational stations. The results indicate that diverse variation patterns exist at all stations for annual rainfall but mainly increasing quantile trend at the lowers, and higher quantiles for the month of January and December. The significant increase in annual rainfall is found mostly in the north and central-coastal region and monsoon month rainfalls in the interior and north of Sarawak. Trends in river flow data show that changes in rainfall distribution have affected higher quantiles of river flow in monsoon months at some of the basins and therefore more flooding. The study reveals that quantile trend can provide more information of rainfall change which may be useful for climate change mitigation and adaptation planning.
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