Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia

Human activity since the Industrial Revolution has exponentially increased greenhouse gas emissions into the earth’s atmosphere leading to climate change. With climate change increasing the frequency and impacts of extreme weather conditions, it is pivotal for affected countries to be equipped with...

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Main Author: Selvam, Ivan Raj
Other Authors: Lo Yat-Man, Edmond
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177816
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1778162024-05-31T15:35:50Z Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia Selvam, Ivan Raj Lo Yat-Man, Edmond School of Civil and Environmental Engineering cymlo@ntu.edu.sg Engineering Human activity since the Industrial Revolution has exponentially increased greenhouse gas emissions into the earth’s atmosphere leading to climate change. With climate change increasing the frequency and impacts of extreme weather conditions, it is pivotal for affected countries to be equipped with accurate identification and measurement methods of the climatic risks posed, supporting development of appropriate mitigation measures towards its impacts. This Final Year Project (FYP) project aims to analyse gridded meteorological datasets to characterize joint occurrence of precipitation and wind extreme events in cities of Southeast Asia (SEA). By first focusing on quantifying individual weather occurrences spatially, hotspots of concurrent precipitation and windspeed extremes in SEA is identified. These joint occurrences of precipitation and windspeed extremes are also investigated to identify where these events are most concentrated to be a potential hotspot across the city(s). Bachelor's degree 2024-05-31T07:29:21Z 2024-05-31T07:29:21Z 2024 Final Year Project (FYP) Selvam, I. R. (2024). Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177816 https://hdl.handle.net/10356/177816 en WR-04 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Selvam, Ivan Raj
Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
description Human activity since the Industrial Revolution has exponentially increased greenhouse gas emissions into the earth’s atmosphere leading to climate change. With climate change increasing the frequency and impacts of extreme weather conditions, it is pivotal for affected countries to be equipped with accurate identification and measurement methods of the climatic risks posed, supporting development of appropriate mitigation measures towards its impacts. This Final Year Project (FYP) project aims to analyse gridded meteorological datasets to characterize joint occurrence of precipitation and wind extreme events in cities of Southeast Asia (SEA). By first focusing on quantifying individual weather occurrences spatially, hotspots of concurrent precipitation and windspeed extremes in SEA is identified. These joint occurrences of precipitation and windspeed extremes are also investigated to identify where these events are most concentrated to be a potential hotspot across the city(s).
author2 Lo Yat-Man, Edmond
author_facet Lo Yat-Man, Edmond
Selvam, Ivan Raj
format Final Year Project
author Selvam, Ivan Raj
author_sort Selvam, Ivan Raj
title Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
title_short Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
title_full Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
title_fullStr Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
title_full_unstemmed Analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in Southeast Asia
title_sort analysis of gridded meteorological datasets to characterize joint occurrence of precipitation and wind events in southeast asia
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177816
_version_ 1814047067725627392