Southeast Asia is a region extremely vulnerable to tropical storms, locally known as typhoons. Its geographical position within the typhoon belt of the Western Pacific makes it highly susceptible to these powerful storms. Furthermore, the intensifying impacts of climate change exacerbate this vulnerability. Rising sea levels increase the risk of storm surges, while warmer ocean temperatures provide more energy for storms to develop and intensify, leading to more frequent and severe events.
The region experiences numerous tropical storms annually, ranging from minor disturbances to powerful typhoons. One of the deadliest events in recent history was Typhoon Haiyan, which devastated Central Philippines in 2013. This catastrophic storm resulted in a staggering loss of life, with over 6,352 fatalities and 28,781 injuries. The economic toll was equally immense, with estimated damages exceeding USD 2.99 billion[1]. More recently, Typhoon Yagi impacted Northern Vietnam in September 2024, causing significant damage. This disaster led to the loss of 844 lives, injured 2,279 individuals, and resulted in economic losses exceeding USD 16.9 million[2].
This project visualizes the tracks of all typhoons that have impacted Southeast Asia over the past 15 years, from 2010 to 2024. It further examines two significant case studies: Typhoon Haiyan, which devastated Central Philippines in September 2013, and Typhoon Yagi, which struck Northern Vietnam in September 2024. The project utilizes Python, the CLIMADA framework, and data from the IBTrACS database.
Mapping Typhoons across Southeast Asia: Tracks and the Devastation
Typhoon Haiyan: November 2013 Assessing the Destruction in Central Philippines
Typhoon Yagi: September 2024 Assessing the Loss and Damage in Northern Vietnam
Data Analyst - Data Scientist - Data Engineer
Love working with data. Love everything about nature. Love every act of humanity. Data Engineer. Data Analyst. Data Scientist. Humanitarian. Environmentalist. Conservationist.
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Data Science • Data Analytics • Data Engineering • Machine Learning • Data Analysis • Data Visualization • Big Data • Business Intelligence (BI) • Cloud Computing • Web Development • Computer Networking
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