Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6

Precipitation is a key meteorological component that is directly related to climate change. Quantifying the changes in the precipitation bioclimate is crucial in planning climate-change adaptation and mitigation measures. Southeast Asia (SEA), home to the world’s greatest concentration of ecological...

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Main Authors: Sobh, Mohamed Tarek, Hamed, Mohammed Magdy, Nashwan, Mohamed Salem, Shahid, Shamsuddin
Format: Article
Language:English
Published: MDPI 2022
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Online Access:http://eprints.utm.my/104409/1/ShamsuddinShahid2022_FutureProjectionofPrecipitationBioclimatic.pdf
http://eprints.utm.my/104409/
http://dx.doi.org/10.3390/su142013596
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1044092024-02-04T09:53:40Z http://eprints.utm.my/104409/ Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6 Sobh, Mohamed Tarek Hamed, Mohammed Magdy Nashwan, Mohamed Salem Shahid, Shamsuddin TA Engineering (General). Civil engineering (General) Precipitation is a key meteorological component that is directly related to climate change. Quantifying the changes in the precipitation bioclimate is crucial in planning climate-change adaptation and mitigation measures. Southeast Asia (SEA), home to the world’s greatest concentration of ecological variety, needs reliable monitoring of such changes. This study utilized the global-climate models from phase 6 of coupled model intercomparison project (CMIP6) to examine the variations in eight precipitation bioclimatic variables over SEA for two shared socioeconomic pathways (SSPs). All indicators were studied for the near (2020–2059) and far (2060–2099) futures to provide a better understanding of the temporal changes and their related uncertainty compared to a historical period (1975–2014). The results showed a high geographical variability of the changes in precipitation-bioclimatic indicators in SEA. The mainland of SEA would experience more changes in the bioclimate than the maritime region. The multimodel ensemble (MME) showed an increase in mean annual rainfall of 6.0–12.4% in most of SEA except the Philippines and southern SEA. The increase will be relatively less in the wettest month (15%) and more in the driest month (20.7%) in most of SEA; however, the precipitation in the wettest quarter would increase by 2.85%, while the driest quarter would decrease by 1.0%. The precipitation would be more seasonal. In addition, the precipitation would increase over a larger area in the wettest month than in the driest month, making precipitation vary more geographically. MDPI 2022-10 Article PeerReviewed application/pdf en http://eprints.utm.my/104409/1/ShamsuddinShahid2022_FutureProjectionofPrecipitationBioclimatic.pdf Sobh, Mohamed Tarek and Hamed, Mohammed Magdy and Nashwan, Mohamed Salem and Shahid, Shamsuddin (2022) Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6. Sustainability, 14 (20). pp. 1-18. ISSN 2071-1050 http://dx.doi.org/10.3390/su142013596 DOI:10.3390/su142013596
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Sobh, Mohamed Tarek
Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
description Precipitation is a key meteorological component that is directly related to climate change. Quantifying the changes in the precipitation bioclimate is crucial in planning climate-change adaptation and mitigation measures. Southeast Asia (SEA), home to the world’s greatest concentration of ecological variety, needs reliable monitoring of such changes. This study utilized the global-climate models from phase 6 of coupled model intercomparison project (CMIP6) to examine the variations in eight precipitation bioclimatic variables over SEA for two shared socioeconomic pathways (SSPs). All indicators were studied for the near (2020–2059) and far (2060–2099) futures to provide a better understanding of the temporal changes and their related uncertainty compared to a historical period (1975–2014). The results showed a high geographical variability of the changes in precipitation-bioclimatic indicators in SEA. The mainland of SEA would experience more changes in the bioclimate than the maritime region. The multimodel ensemble (MME) showed an increase in mean annual rainfall of 6.0–12.4% in most of SEA except the Philippines and southern SEA. The increase will be relatively less in the wettest month (15%) and more in the driest month (20.7%) in most of SEA; however, the precipitation in the wettest quarter would increase by 2.85%, while the driest quarter would decrease by 1.0%. The precipitation would be more seasonal. In addition, the precipitation would increase over a larger area in the wettest month than in the driest month, making precipitation vary more geographically.
format Article
author Sobh, Mohamed Tarek
Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
author_facet Sobh, Mohamed Tarek
Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
author_sort Sobh, Mohamed Tarek
title Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
title_short Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
title_full Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
title_fullStr Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
title_full_unstemmed Future projection of precipitation bioclimatic indicators over southeast Asia using CMIP6
title_sort future projection of precipitation bioclimatic indicators over southeast asia using cmip6
publisher MDPI
publishDate 2022
url http://eprints.utm.my/104409/1/ShamsuddinShahid2022_FutureProjectionofPrecipitationBioclimatic.pdf
http://eprints.utm.my/104409/
http://dx.doi.org/10.3390/su142013596
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