Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia
This Final Year Project (FYP) report presents an analysis of gridded meteorological datasets to characterize the joint occurrence of hot and dry events in Southeast Asia (SEA). This region is susceptible to extreme climatic events, which would lead to adverse impacts on ecosystems, agriculture, and...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182721 |
| _version_ | 1826131282472468480 |
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| author | Chong, Jia Ling |
| author2 | Lo Yat-Man, Edmond |
| author_facet | Lo Yat-Man, Edmond Chong, Jia Ling |
| author_sort | Chong, Jia Ling |
| collection | NTU |
| description | This Final Year Project (FYP) report presents an analysis of gridded meteorological datasets to characterize the joint occurrence of hot and dry events in Southeast Asia (SEA). This region is susceptible to extreme climatic events, which would lead to adverse impacts on ecosystems, agriculture, and human well-being. The FYP report employs meteorological datasets to identify and analyse hot and dry joint events over 73 years. By making use of meteorological parameters such as temperature and precipitation, the work firstly aims to create a threshold for the identification of hot and dry events. Secondly, this FYP utilize trend analysis to identify patterns associated with these extreme events. Understanding the trends of hot and dry events is essential for climate resilience strategies in SEA. This analysis will provide insights into the spatiotemporal distribution, severity and potential impacts of concurrent events on the region's environment and society. The findings of this study will help governments, researchers, and stakeholders develop strategies to mitigate the consequences of concurrent events in Southeast Asia and foster long-term sustainability in the face of a changing climate. |
| first_indexed | 2025-03-09T15:35:02Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/182721 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T15:35:02Z |
| publishDate | 2025 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1827212025-02-21T15:36:29Z Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia Chong, Jia Ling Lo Yat-Man, Edmond School of Civil and Environmental Engineering cymlo@ntu.edu.sg Engineering This Final Year Project (FYP) report presents an analysis of gridded meteorological datasets to characterize the joint occurrence of hot and dry events in Southeast Asia (SEA). This region is susceptible to extreme climatic events, which would lead to adverse impacts on ecosystems, agriculture, and human well-being. The FYP report employs meteorological datasets to identify and analyse hot and dry joint events over 73 years. By making use of meteorological parameters such as temperature and precipitation, the work firstly aims to create a threshold for the identification of hot and dry events. Secondly, this FYP utilize trend analysis to identify patterns associated with these extreme events. Understanding the trends of hot and dry events is essential for climate resilience strategies in SEA. This analysis will provide insights into the spatiotemporal distribution, severity and potential impacts of concurrent events on the region's environment and society. The findings of this study will help governments, researchers, and stakeholders develop strategies to mitigate the consequences of concurrent events in Southeast Asia and foster long-term sustainability in the face of a changing climate. Bachelor's degree 2025-02-18T21:33:06Z 2025-02-18T21:33:06Z 2024 Final Year Project (FYP) Chong, J. L. (2024). Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/182721 https://hdl.handle.net/10356/182721 en WR-05 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Chong, Jia Ling Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title | Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title_full | Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title_fullStr | Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title_full_unstemmed | Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title_short | Analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in Southeast Asia |
| title_sort | analysis of gridded meteorological datasets to categorize joint occurrence of hot and dry events in southeast asia |
| topic | Engineering |
| url | https://hdl.handle.net/10356/182721 |
| work_keys_str_mv | AT chongjialing analysisofgriddedmeteorologicaldatasetstocategorizejointoccurrenceofhotanddryeventsinsoutheastasia |