Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/88546
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Saurabh Kumar Singh | en |
dc.contributor.author | Lo, Edmond Yat-Man | en |
dc.contributor.author | Qin, Xiaosheng | en |
dc.date.accessioned | 2018-09-03T06:36:33Z | en |
dc.date.accessioned | 2019-12-06T17:05:46Z | - |
dc.date.available | 2018-09-03T06:36:33Z | en |
dc.date.available | 2019-12-06T17:05:46Z | - |
dc.date.issued | 2017 | en |
dc.identifier.citation | Saurabh Kumar Singh, Lo, E. Y.-M., & Qin, X. (2017). Cluster analysis of monthly precipitation over the western maritime continent under climate change. Climate, 5(4), 84-. doi:10.3390/cli5040084 | en |
dc.identifier.issn | 2225-1154 | en |
dc.identifier.uri | https://hdl.handle.net/10356/88546 | - |
dc.description.abstract | Changes in climate because of global warming during the 20th and 21st centuries have a direct impact on the hydrological cycle as driven by precipitation. However, studying precipitation over the Western Maritime Continent (WMC) is a great challenge, as the WMC has a complex topography and weather system. Understanding changes in precipitation patterns and their groupings is an important aspect of planning mitigation measures to minimize flood and drought risk as well as of understanding the redistribution of precipitation arising from climate change. This paper employs Ward’s hierarchical clustering on regional climate model (RCM)-simulated monthly precipitation gridded data over 42 approximately evenly distributed grid stations from the years 2030 to 2060. The aim was to investigate spatial and temporal groupings over the four major landmasses in the WMC and to compare these with historical precipitation groupings. The results showed that the four large-scale islands of Java, Sumatra, Peninsular Malaysia and Borneo would experience a significant spatial redistribution of precipitation over the years 2030 to 2060, as compared to historical patterns from 1980 to 2005. The spatial groups were also compared for two future forcing scenarios, representative concentration pathways (RCPs) 4.5 and 8.5, and different groupings over the Borneo region were observed. | en |
dc.format.extent | 20 p. | en |
dc.language.iso | en | en |
dc.relation.ispartofseries | Climate | en |
dc.rights | © 2017 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en |
dc.subject | DRNTU::Engineering::Environmental engineering | en |
dc.subject | Climate Change | en |
dc.subject | Clustering | en |
dc.title | Cluster analysis of monthly precipitation over the western maritime continent under climate change | en |
dc.type | Journal Article | en |
dc.contributor.school | School of Civil and Environmental Engineering | en |
dc.identifier.doi | 10.3390/cli5040084 | en |
dc.description.version | Published version | en |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | CEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cluster analysis of monthly precipitation over the western maritime continent under climate change.pdf | 40.62 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
50
6
Updated on Mar 20, 2024
Web of ScienceTM
Citations
50
4
Updated on Oct 30, 2023
Page view(s)
423
Updated on Mar 28, 2024
Download(s) 50
94
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.