Assessing the implementation of bias correction in the climate prediction

An issue of the climate changes nowadays becomes trigger and irregular. The increment of the greenhouse gases (GHGs) emission into the atmospheric system day by day gives huge impact to the fluctuated weather and global warming. It becomes significant to analyse the changes of climate parameters in...

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Main Author:	Nurul Nadrah Aqilah, Tukimat
Format:	Conference or Workshop Item
Language:	English
Published:	The Institute of Physics 2018
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/23107/ http://umpir.ump.edu.my/id/eprint/23107/ http://umpir.ump.edu.my/id/eprint/23107/1/Assessing%20the%20implementation%20of%20bias%20correction%20in%20the%20climate%20prediction.pdf

id	ump-23107
recordtype	eprints
spelling	ump-231072018-12-31T12:39:21Z http://umpir.ump.edu.my/id/eprint/23107/ Assessing the implementation of bias correction in the climate prediction Nurul Nadrah Aqilah, Tukimat TA Engineering (General). Civil engineering (General) An issue of the climate changes nowadays becomes trigger and irregular. The increment of the greenhouse gases (GHGs) emission into the atmospheric system day by day gives huge impact to the fluctuated weather and global warming. It becomes significant to analyse the changes of climate parameters in the long term. However, the accuracy in the climate simulation is always be questioned to control the reliability of the projection results. Thus, the Linear Scaling (LS) as a bias correction method (BC) had been applied to treat the gaps between observed and simulated results. About two rainfall stations were selected in Pahang state there are Station Lubuk Paku and Station Temerloh. Statistical Downscaling Model (SDSM) used to perform the relationship between local weather and atmospheric parameters in projecting the long term rainfall trend. The result revealed the LS was successfully to reduce the error up to 3% and produced better climate simulated results. The Institute of Physics 2018-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23107/1/Assessing%20the%20implementation%20of%20bias%20correction%20in%20the%20climate%20prediction.pdf Nurul Nadrah Aqilah, Tukimat (2018) Assessing the implementation of bias correction in the climate prediction. In: IOP Conference Series: Materials Science and Engineering: International Conference On Innovative Technology, Engineering And Sciences (ICITES 2018), 01-02 April 2018 , UMP Library, Pekan. pp. 1-7., 342 (1). ISSN 1757-8981 http://iopscience.iop.org/article/10.1088/1757-899X/342/1/012004/meta
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Nurul Nadrah Aqilah, Tukimat Assessing the implementation of bias correction in the climate prediction
description	An issue of the climate changes nowadays becomes trigger and irregular. The increment of the greenhouse gases (GHGs) emission into the atmospheric system day by day gives huge impact to the fluctuated weather and global warming. It becomes significant to analyse the changes of climate parameters in the long term. However, the accuracy in the climate simulation is always be questioned to control the reliability of the projection results. Thus, the Linear Scaling (LS) as a bias correction method (BC) had been applied to treat the gaps between observed and simulated results. About two rainfall stations were selected in Pahang state there are Station Lubuk Paku and Station Temerloh. Statistical Downscaling Model (SDSM) used to perform the relationship between local weather and atmospheric parameters in projecting the long term rainfall trend. The result revealed the LS was successfully to reduce the error up to 3% and produced better climate simulated results.
format	Conference or Workshop Item
author	Nurul Nadrah Aqilah, Tukimat
author_facet	Nurul Nadrah Aqilah, Tukimat
author_sort	Nurul Nadrah Aqilah, Tukimat
title	Assessing the implementation of bias correction in the climate prediction
title_short	Assessing the implementation of bias correction in the climate prediction
title_full	Assessing the implementation of bias correction in the climate prediction
title_fullStr	Assessing the implementation of bias correction in the climate prediction
title_full_unstemmed	Assessing the implementation of bias correction in the climate prediction
title_sort	assessing the implementation of bias correction in the climate prediction
publisher	The Institute of Physics
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23107/ http://umpir.ump.edu.my/id/eprint/23107/ http://umpir.ump.edu.my/id/eprint/23107/1/Assessing%20the%20implementation%20of%20bias%20correction%20in%20the%20climate%20prediction.pdf
first_indexed	2023-09-18T22:34:30Z
last_indexed	2023-09-18T22:34:30Z
_version_	1777416504694800384

Assessing the implementation of bias correction in the climate prediction

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