Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed
Many scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model. The purpose of this study was to analyze the RCM performance before and after bias...
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| Format: | Article |
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Syiah Kuala University
2019-07-01
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| Series: | Aceh International Journal of Science and Technology |
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| Online Access: | https://jurnal.usk.ac.id/AIJST/article/view/12340 |
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| author | Unggul Handoko Rizaldi Boer Edvin Aldrian Arnida L. Latifah Bambang D. Dasanto Apip Apip Misnawati Misnawati |
| author_facet | Unggul Handoko Rizaldi Boer Edvin Aldrian Arnida L. Latifah Bambang D. Dasanto Apip Apip Misnawati Misnawati |
| author_sort | Unggul Handoko |
| collection | DOAJ |
| description | Many scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model. The purpose of this study was to analyze the RCM performance before and after bias correction, its best performance from several models, as well as to clarify the importance of bias correction before it is used to analyze climate change. As a result of this, the method used for bias correction was Distribution Mapping method (for rainfall) and Average Ratio-method (for air temperature). While the Generalized Extrem Valuedistribution (GEV) was used to analysis extreme rainfall. To determine the performance of the model before and after bias correction, statistical analysis was used namelyR2, NSE, and RMSE. Furthermore, ranking for every single model and Taylor Diagram was used to determine the best model. The results showed that the RCMs performance improved with bias correction. However, CSIRO-Mk3-6-0, CCSM4, GFDL-ESM2M, and MPI-ESM-MR models can be ignored as ensemble models, because they demonstrated poor performance in simulating rainfall. From this study, it was suggested that the best model in simulating daily and monthly rainfall was ACCESS1-0, while MIROC-ESM-CHEM (daily air temperature) and ACCESS1-0 (monthly air temperature) were best models used in simulating air temperature.
Key words: RCM, bias correction, performance, rainfall, air temperature |
| format | Article |
| id | doaj-art-5afffbdb7ab84fbe919de0ce46439894 |
| institution | Kabale University |
| issn | 2088-9860 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Syiah Kuala University |
| record_format | Article |
| series | Aceh International Journal of Science and Technology |
| spelling | doaj-art-5afffbdb7ab84fbe919de0ce464398942025-08-20T03:38:39ZengSyiah Kuala UniversityAceh International Journal of Science and Technology2088-98602019-07-0182526710.13170/aijst.8.2.123409970Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari WatershedUnggul Handoko0Rizaldi Boer1Edvin Aldrian2Arnida L. Latifah3Bambang D. Dasanto4Apip Apip5Misnawati Misnawati6Bogor Agricultural University and Research Center for Limnology LIPIApplied Climatology, Graduate School of Bogor Agricultural University, Bogor, Indonesia2Agency for The Assesment and Application of Technology, Serpong, IndonesiaResearch Center for Informatics LIPI, CibinongAgency for The Assesment and Application of Technology, Serpong, IndonesiaResearch Center for Limnology LIPI, Cibinong, IndonesiaIndonesian Agroclimate and Hydrology Research Institute, Bogor, IndonesiaMany scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model. The purpose of this study was to analyze the RCM performance before and after bias correction, its best performance from several models, as well as to clarify the importance of bias correction before it is used to analyze climate change. As a result of this, the method used for bias correction was Distribution Mapping method (for rainfall) and Average Ratio-method (for air temperature). While the Generalized Extrem Valuedistribution (GEV) was used to analysis extreme rainfall. To determine the performance of the model before and after bias correction, statistical analysis was used namelyR2, NSE, and RMSE. Furthermore, ranking for every single model and Taylor Diagram was used to determine the best model. The results showed that the RCMs performance improved with bias correction. However, CSIRO-Mk3-6-0, CCSM4, GFDL-ESM2M, and MPI-ESM-MR models can be ignored as ensemble models, because they demonstrated poor performance in simulating rainfall. From this study, it was suggested that the best model in simulating daily and monthly rainfall was ACCESS1-0, while MIROC-ESM-CHEM (daily air temperature) and ACCESS1-0 (monthly air temperature) were best models used in simulating air temperature. Key words: RCM, bias correction, performance, rainfall, air temperaturehttps://jurnal.usk.ac.id/AIJST/article/view/12340regional climate models, bias correction, performance, rainfall, temperature |
| spellingShingle | Unggul Handoko Rizaldi Boer Edvin Aldrian Arnida L. Latifah Bambang D. Dasanto Apip Apip Misnawati Misnawati Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed Aceh International Journal of Science and Technology regional climate models, bias correction, performance, rainfall, temperature |
| title | Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed |
| title_full | Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed |
| title_fullStr | Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed |
| title_full_unstemmed | Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed |
| title_short | Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed |
| title_sort | comparison performance of the multi regional climate model rcm in simulating rainfall and air temperature in batanghari watershed |
| topic | regional climate models, bias correction, performance, rainfall, temperature |
| url | https://jurnal.usk.ac.id/AIJST/article/view/12340 |
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