Daily rainfall data from two urban regions in Southeast Asia are analysed to study the distribution of wet spell and the linkage of extreme wet spell with flood occurrences. The analysis is carried out using 37 years of data from Malaysia and 35 years of data from Singapore. A total number of nine statistical indicators of wet spell are studied. At the annual scale, Singapore has a greater number of wet spells and a higher percentage of rainy days as compared to Malaysia. However, both cities have similar number of extreme wet spells. Analysis of the length and accumulation of wet spells shows that Singapore is drier than Malaysia during the prevailing monsoons of Maritime Continent, especially during the Northeast monsoon period. This stud...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Southeast Asia is recognized as a climate-change vulnerable region as it has been significantly affe...
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and inte...
Extreme rainfall events are the main cause of flooding. This study aimed to examine seven extreme ra...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
This paper analyses the annual floods for the city of Chiang Mai in northern Thailand using a relati...
This paper analyses the annual floods for the city of Chiang Mai in northern Thailand using a relati...
The objective of this study is to reinstate Singapore’s temporal rainfall distribution patterns base...
Floods are regular natural disaster that frequently occurs in Peninsular Malaysia, which happens ev...
Abstract: This paper analyses the annual floods for the city of Chiang Mai in northern Thailand usin...
In December 2014, severe flooding had hit part of Peninsular Malaysia. As a result many casualty and...
By using the available daily rainfall data from rain gauges located around Singapore, the author pro...
The objective of this study is to reinstate Singapore’s temporal rainfall distribution patterns base...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Southeast Asia is recognized as a climate-change vulnerable region as it has been significantly affe...
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and inte...
Extreme rainfall events are the main cause of flooding. This study aimed to examine seven extreme ra...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
This paper analyses the annual floods for the city of Chiang Mai in northern Thailand using a relati...
This paper analyses the annual floods for the city of Chiang Mai in northern Thailand using a relati...
The objective of this study is to reinstate Singapore’s temporal rainfall distribution patterns base...
Floods are regular natural disaster that frequently occurs in Peninsular Malaysia, which happens ev...
Abstract: This paper analyses the annual floods for the city of Chiang Mai in northern Thailand usin...
In December 2014, severe flooding had hit part of Peninsular Malaysia. As a result many casualty and...
By using the available daily rainfall data from rain gauges located around Singapore, the author pro...
The objective of this study is to reinstate Singapore’s temporal rainfall distribution patterns base...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
Southeast Asia is recognized as a climate-change vulnerable region as it has been significantly affe...