Application of bias correction in climate prediction

The issue of climate change and its effects on many aspects of the environment become more challenges for society. The emission and concentration of carbon dioxide and greenhouse gases give impact to the increase in temperature, and thus leading to global warming. It is important and desirable to an...

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Main Author:	Zuraida, Hasbullah
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2017
Subjects:	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21012/ http://umpir.ump.edu.my/id/eprint/21012/ http://umpir.ump.edu.my/id/eprint/21012/1/Application%20of%20bias%20correction%20in%20climate%20prediction-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/21012/7/Application%20of%20bias%20correction%20in%20climate%20prediction-Abstract.pdf http://umpir.ump.edu.my/id/eprint/21012/13/Application%20of%20bias%20correction%20in%20climate%20prediction-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/21012/19/Application%20of%20bias%20correction%20in%20climate%20prediction-References.pdf

id	ump-21012
recordtype	eprints
spelling	ump-210122018-04-25T00:24:15Z http://umpir.ump.edu.my/id/eprint/21012/ Application of bias correction in climate prediction Zuraida, Hasbullah TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering The issue of climate change and its effects on many aspects of the environment become more challenges for society. The emission and concentration of carbon dioxide and greenhouse gases give impact to the increase in temperature, and thus leading to global warming. It is important and desirable to analyze and predict the changes of climatic variables especially for rainfall. However, the accuracy in the climate simulation is becomes significant to ensure the reliability of the projection results. Thus, the bias correction (BC) methods were suggested to imply to treat the gaps between observed and simulated results. This study is focus on analysis the prediction patterns of rainfall in Lubuk Paku and Temerloh in Pahang state based on the historical rainfall. The rainfall pattern can be estimate the future climate change, general circulation models (GCMs) are applied. Therefore, Statistical Downscaling Model (SDSM) is applied in order to convert the coarse spatial resolution of the GCMs output into a fine resolution. However, there are biases in SDSM result and GCMs result. Therefore, two bias correction methods which are Linear Scaling (LS) and Local Intensity Scaling (LOCI) are applied to reduce the bias of those model and the performance of those methods are being compared. 2017-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21012/1/Application%20of%20bias%20correction%20in%20climate%20prediction-Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21012/7/Application%20of%20bias%20correction%20in%20climate%20prediction-Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21012/13/Application%20of%20bias%20correction%20in%20climate%20prediction-Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21012/19/Application%20of%20bias%20correction%20in%20climate%20prediction-References.pdf Zuraida, Hasbullah (2017) Application of bias correction in climate prediction. Faculty of Civil Engineering and Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:102645&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Zuraida, Hasbullah Application of bias correction in climate prediction
description	The issue of climate change and its effects on many aspects of the environment become more challenges for society. The emission and concentration of carbon dioxide and greenhouse gases give impact to the increase in temperature, and thus leading to global warming. It is important and desirable to analyze and predict the changes of climatic variables especially for rainfall. However, the accuracy in the climate simulation is becomes significant to ensure the reliability of the projection results. Thus, the bias correction (BC) methods were suggested to imply to treat the gaps between observed and simulated results. This study is focus on analysis the prediction patterns of rainfall in Lubuk Paku and Temerloh in Pahang state based on the historical rainfall. The rainfall pattern can be estimate the future climate change, general circulation models (GCMs) are applied. Therefore, Statistical Downscaling Model (SDSM) is applied in order to convert the coarse spatial resolution of the GCMs output into a fine resolution. However, there are biases in SDSM result and GCMs result. Therefore, two bias correction methods which are Linear Scaling (LS) and Local Intensity Scaling (LOCI) are applied to reduce the bias of those model and the performance of those methods are being compared.
format	Undergraduates Project Papers
author	Zuraida, Hasbullah
author_facet	Zuraida, Hasbullah
author_sort	Zuraida, Hasbullah
title	Application of bias correction in climate prediction
title_short	Application of bias correction in climate prediction
title_full	Application of bias correction in climate prediction
title_fullStr	Application of bias correction in climate prediction
title_full_unstemmed	Application of bias correction in climate prediction
title_sort	application of bias correction in climate prediction
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/21012/ http://umpir.ump.edu.my/id/eprint/21012/ http://umpir.ump.edu.my/id/eprint/21012/1/Application%20of%20bias%20correction%20in%20climate%20prediction-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/21012/7/Application%20of%20bias%20correction%20in%20climate%20prediction-Abstract.pdf http://umpir.ump.edu.my/id/eprint/21012/13/Application%20of%20bias%20correction%20in%20climate%20prediction-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/21012/19/Application%20of%20bias%20correction%20in%20climate%20prediction-References.pdf
first_indexed	2023-09-18T22:30:39Z
last_indexed	2023-09-18T22:30:39Z
_version_	1777416263112327168

Application of bias correction in climate prediction

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