The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeast Asia (SEA) at annual, seasonal, and intraseasonal scales using 16 years of data from the Tropical Rainfall Measurement Mission. A detailed analysis is conducted using various indices that characterize exceedance probabilities and relative contribution of extremes to the total rainfall. The selected indices include the Gini index, which is a measure of overall inequality, and is employed for the first time to examine SEA rainfall characteristics. The favoured regions (hotspots) of rainfall extremes during each season are identified, and their linkages with terrain and seasonal winds discussed. The intraseasonal variability in rainfall extrem...
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and inte...
The variability in the hydroclimate over mainland Southeast Asia is strongly influenced by the El Ni...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
In the Asia-Pacific region (APR), extreme precipitation is one of the most critical climate stressor...
Daily rainfall data from two urban regions in Southeast Asia are analysed to study the distribution ...
This study analyzed the trends of extreme daily rainfall indices over the Indochina Peninsula from 1...
This study analyzed the trends of extreme daily rainfall indices over the Indochina Peninsula from 1...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
Seasonal and annual rainfall data for 135 stations for periods varying from 25 to 125 years are util...
Monthly rainfall data for 135 stations for periods varying from 25 to 125 years are utilised to inve...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
The variations of both total and extreme precipitations over Asia are characterized by large regiona...
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and inte...
The variability in the hydroclimate over mainland Southeast Asia is strongly influenced by the El Ni...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeas...
In the Asia-Pacific region (APR), extreme precipitation is one of the most critical climate stressor...
Daily rainfall data from two urban regions in Southeast Asia are analysed to study the distribution ...
This study analyzed the trends of extreme daily rainfall indices over the Indochina Peninsula from 1...
This study analyzed the trends of extreme daily rainfall indices over the Indochina Peninsula from 1...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
Seasonal and annual rainfall data for 135 stations for periods varying from 25 to 125 years are util...
Monthly rainfall data for 135 stations for periods varying from 25 to 125 years are utilised to inve...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in...
The variations of both total and extreme precipitations over Asia are characterized by large regiona...
Daily rainfall data from two urban regions in Southeast Asia are analyzed to study seasonal and inte...
The variability in the hydroclimate over mainland Southeast Asia is strongly influenced by the El Ni...
Hourly rainfall data between the years 1975 and 2010 across the Peninsular Malaysia were analyzed fo...