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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| Format: | Conference or Workshop Item |
| Language: | English |
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The Institute of Physics
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/23107/1/Assessing%20the%20implementation%20of%20bias%20correction%20in%20the%20climate%20prediction.pdf |
| _version_ | 1796993054679236608 |
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| author | Nurul Nadrah Aqilah, Tukimat |
| author_facet | Nurul Nadrah Aqilah, Tukimat |
| author_sort | Nurul Nadrah Aqilah, Tukimat |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:28:29Z |
| format | Conference or Workshop Item |
| id | UMPir23107 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:28:29Z |
| publishDate | 2018 |
| publisher | The Institute of Physics |
| record_format | dspace |
| spelling | UMPir231072018-12-31T12:39:21Z 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 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Nurul Nadrah Aqilah, Tukimat Assessing the implementation of bias correction in the climate prediction |
| title | 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_short | Assessing the implementation of bias correction in the climate prediction |
| title_sort | assessing the implementation of bias correction in the climate prediction |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/23107/1/Assessing%20the%20implementation%20of%20bias%20correction%20in%20the%20climate%20prediction.pdf |
| work_keys_str_mv | AT nurulnadrahaqilahtukimat assessingtheimplementationofbiascorrectionintheclimateprediction |