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...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2017/2620798 |
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| author | Velautham Daksiya Pradeep Mandapaka Edmond Y. M. Lo |
| author_facet | Velautham Daksiya Pradeep Mandapaka Edmond Y. M. Lo |
| author_sort | Velautham Daksiya |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-42621db31419491caa7b082d1e81c1cb |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-42621db31419491caa7b082d1e81c1cb2025-02-03T01:02:39ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/26207982620798A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate ConditionsVelautham Daksiya0Pradeep Mandapaka1Edmond Y. M. Lo2Environmental Process Modelling Centre, Nanyang Environmental & Water Research Institute, Nanyang Technological University, SingaporeInstitute of Catastrophe Risk Management, Nanyang Technological University, SingaporeInstitute of Catastrophe Risk Management, Nanyang Technological University, SingaporeThe 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.http://dx.doi.org/10.1155/2017/2620798 |
| spellingShingle | Velautham Daksiya Pradeep Mandapaka Edmond Y. M. Lo A Comparative Frequency Analysis of Maximum Daily Rainfall for a SE Asian Region under Current and Future Climate Conditions Advances in Meteorology |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2017/2620798 |
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