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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/104409/1/ShamsuddinShahid2022_FutureProjectionofPrecipitationBioclimatic.pdf http://eprints.utm.my/104409/ http://dx.doi.org/10.3390/su142013596 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
Language: | English |
id |
my.utm.104409 |
---|---|
record_format |
eprints |
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 |
_version_ |
1792147732988690432 |