A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions

The impact of changing climate on the frequency of daily rainfall extremes in Jakarta, Indonesia, is analysed and quantified. The study used three different models to assess the changes in rainfall characteristics. The first method involves the use of the weather generator LARS-WG to quantify change...

Full description

Saved in:
Bibliographic Details
Main Authors: Lo, Edmond Yat-Man, Daksiya, Velautham, Mandapaka, Pradeep
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/83305
http://hdl.handle.net/10220/42516
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-83305
record_format dspace
spelling sg-ntu-dr.10356-833052020-09-26T22:01:25Z A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions Lo, Edmond Yat-Man Daksiya, Velautham Mandapaka, Pradeep School of Civil and Environmental Engineering Interdisciplinary Graduate School (IGS) Institute of Catastrophe Risk Management Nanyang Environment and Water Research Institute Frequency analysis SE asian region The impact of changing climate on the frequency of daily rainfall extremes in Jakarta, Indonesia, is analysed and quantified. The study used three different models to assess the changes in rainfall characteristics. The first method involves the use of the weather generator LARS-WG to quantify changes between historical and future daily rainfall maxima. The second approach consists of statistically downscaling general circulation model (GCM) output based on historical empirical relationships between GCM output and station rainfall. Lastly, the study employed recent statistically downscaled global gridded rainfall projections to characterize climate change impact rainfall structure. Both annual and seasonal rainfall extremes are studied. The results show significant changes in annual maximum daily rainfall, with an average increase as high as 20% in the 100-year return period daily rainfall. The uncertainty arising from the use of different GCMs was found to be much larger than the uncertainty from the emission scenarios. Furthermore, the annual and wet seasonal analyses exhibit similar behaviors with increased future rainfall, but the dry season is not consistent across the models. The GCM uncertainty is larger in the dry season compared to annual and wet season. MOE (Min. of Education, S’pore) Published version 2017-05-29T09:29:58Z 2019-12-06T15:19:38Z 2017-05-29T09:29:58Z 2019-12-06T15:19:38Z 2017 Journal Article Daksiya, V., Mandapaka, P., & Lo, E. Y. -M. (2017). A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions. Advances in Meteorology, 2017, 2620798-. 1687-9309 https://hdl.handle.net/10356/83305 http://hdl.handle.net/10220/42516 10.1155/2017/2620798 en Advances in Meteorology © 2017 Velautham Daksiya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 17 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Frequency analysis
SE asian region
spellingShingle Frequency analysis
SE asian region
Lo, Edmond Yat-Man
Daksiya, Velautham
Mandapaka, Pradeep
A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
description The impact of changing climate on the frequency of daily rainfall extremes in Jakarta, Indonesia, is analysed and quantified. The study used three different models to assess the changes in rainfall characteristics. The first method involves the use of the weather generator LARS-WG to quantify changes between historical and future daily rainfall maxima. The second approach consists of statistically downscaling general circulation model (GCM) output based on historical empirical relationships between GCM output and station rainfall. Lastly, the study employed recent statistically downscaled global gridded rainfall projections to characterize climate change impact rainfall structure. Both annual and seasonal rainfall extremes are studied. The results show significant changes in annual maximum daily rainfall, with an average increase as high as 20% in the 100-year return period daily rainfall. The uncertainty arising from the use of different GCMs was found to be much larger than the uncertainty from the emission scenarios. Furthermore, the annual and wet seasonal analyses exhibit similar behaviors with increased future rainfall, but the dry season is not consistent across the models. The GCM uncertainty is larger in the dry season compared to annual and wet season.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Lo, Edmond Yat-Man
Daksiya, Velautham
Mandapaka, Pradeep
format Article
author Lo, Edmond Yat-Man
Daksiya, Velautham
Mandapaka, Pradeep
author_sort Lo, Edmond Yat-Man
title A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
title_short A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
title_full A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
title_fullStr A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
title_full_unstemmed A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions
title_sort comparative frequency analysis of maximum daily rainfall for a se asian region under current and future climate conditions
publishDate 2017
url https://hdl.handle.net/10356/83305
http://hdl.handle.net/10220/42516
_version_ 1681058657589002240