Performances difference on climate between AR4 and AR5

The Intergovernmental Panel on Climate Change (IPCC) revised the impact of greenhouse gases (GHGs) into the climate system and came out with the Fifth Assessment Report (AR5) in year 2014. By AR5, the climate changes impact were classified based on the level of radiation forcing known as Representat...

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Main Author: Muhammad Izhar, Ismail
Format: Undergraduates Project Papers
Language:English
Published: 2019
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Online Access:http://umpir.ump.edu.my/id/eprint/29705/1/Performances%20difference%20on%20climate%20between%20AR4.pdf
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spelling my.ump.umpir.297052020-10-23T02:16:56Z http://umpir.ump.edu.my/id/eprint/29705/ Performances difference on climate between AR4 and AR5 Muhammad Izhar, Ismail TA Engineering (General). Civil engineering (General) The Intergovernmental Panel on Climate Change (IPCC) revised the impact of greenhouse gases (GHGs) into the climate system and came out with the Fifth Assessment Report (AR5) in year 2014. By AR5, the climate changes impact were classified based on the level of radiation forcing known as Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5). This version was slightly difference with the AR4 version which based on the GHGs groups known as A1, B1, A2, and B2. The modification in the climate changes assessment will affecting the accuracy of the climate projection in the long term. Therefore, the main aim of this study was to determine the impact in the climate change assessment between Fourth Assessment Report (AR4) with AR5. The study was focused on Eastern Malaysia including Kelantan and Terengganu. In this study, the Statistical Downscaling Model (SDSM) was used as a statistical climate model to assess the differences of the climate performances. Meanwhile, the general circulation model (GCM) provided by Climate Modelling and Analysis (CanESM2) was used for the long-term climate generation. Referring to the results, the predictor of p-u, r500, and r850 are the most influence variables in forming the local temperature and rainfall at the regions. The accuracy of the climate generation was controlled by the lower %MAE with high Correlation (R) in the calibrated and validated results. The temperature simulation was successfully to produce 0.6% of %MAE with R close to 1.0. Meanwhile the rainfall at Terengganu and Kelantan were produced less than 14% of %MAE with 0.99 of R. Based on the comparison performances between GCMs and historical data, the RCP4.5 (AR5) and SRES A2 (AR4) have been selected as the best radiation forcing level at Kelantan representative for different ARs. Meanwhile for Terengganu, the RCP2.6 (AR5) and SRES B2 (AR4) have been selected due to least %MAE performances. The projected climate results were expected to have minimum increment in the max (0.79%), mean (0.43%) and min (0.2%) temperature. The local rainfall shows increasing pattern with (9.37%) in Station Gunong Barat Bachok, (5.04%) for Station Rumah Pam Salor Pengkalan Kubor, (9.11%) for Station Sg. Simpang Ampat in Kelantan. For Terengganu, the pattern shows an increment of (4.43%) for Station Sek Men. Bukit Sawa, (5.25%) for Station Rumah Pam Pulau Musang, and (42.07%) for Station Kg Peringat. 2019-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29705/1/Performances%20difference%20on%20climate%20between%20AR4.pdf Muhammad Izhar, Ismail (2019) Performances difference on climate between AR4 and AR5. Faculty of Civil Engineering and Earth Resources, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Muhammad Izhar, Ismail
Performances difference on climate between AR4 and AR5
description The Intergovernmental Panel on Climate Change (IPCC) revised the impact of greenhouse gases (GHGs) into the climate system and came out with the Fifth Assessment Report (AR5) in year 2014. By AR5, the climate changes impact were classified based on the level of radiation forcing known as Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5). This version was slightly difference with the AR4 version which based on the GHGs groups known as A1, B1, A2, and B2. The modification in the climate changes assessment will affecting the accuracy of the climate projection in the long term. Therefore, the main aim of this study was to determine the impact in the climate change assessment between Fourth Assessment Report (AR4) with AR5. The study was focused on Eastern Malaysia including Kelantan and Terengganu. In this study, the Statistical Downscaling Model (SDSM) was used as a statistical climate model to assess the differences of the climate performances. Meanwhile, the general circulation model (GCM) provided by Climate Modelling and Analysis (CanESM2) was used for the long-term climate generation. Referring to the results, the predictor of p-u, r500, and r850 are the most influence variables in forming the local temperature and rainfall at the regions. The accuracy of the climate generation was controlled by the lower %MAE with high Correlation (R) in the calibrated and validated results. The temperature simulation was successfully to produce 0.6% of %MAE with R close to 1.0. Meanwhile the rainfall at Terengganu and Kelantan were produced less than 14% of %MAE with 0.99 of R. Based on the comparison performances between GCMs and historical data, the RCP4.5 (AR5) and SRES A2 (AR4) have been selected as the best radiation forcing level at Kelantan representative for different ARs. Meanwhile for Terengganu, the RCP2.6 (AR5) and SRES B2 (AR4) have been selected due to least %MAE performances. The projected climate results were expected to have minimum increment in the max (0.79%), mean (0.43%) and min (0.2%) temperature. The local rainfall shows increasing pattern with (9.37%) in Station Gunong Barat Bachok, (5.04%) for Station Rumah Pam Salor Pengkalan Kubor, (9.11%) for Station Sg. Simpang Ampat in Kelantan. For Terengganu, the pattern shows an increment of (4.43%) for Station Sek Men. Bukit Sawa, (5.25%) for Station Rumah Pam Pulau Musang, and (42.07%) for Station Kg Peringat.
format Undergraduates Project Papers
author Muhammad Izhar, Ismail
author_facet Muhammad Izhar, Ismail
author_sort Muhammad Izhar, Ismail
title Performances difference on climate between AR4 and AR5
title_short Performances difference on climate between AR4 and AR5
title_full Performances difference on climate between AR4 and AR5
title_fullStr Performances difference on climate between AR4 and AR5
title_full_unstemmed Performances difference on climate between AR4 and AR5
title_sort performances difference on climate between ar4 and ar5
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/29705/1/Performances%20difference%20on%20climate%20between%20AR4.pdf
http://umpir.ump.edu.my/id/eprint/29705/
_version_ 1681489646500970496
score 13.188404