A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method
A hybrid climate model (HCM) is a novel proposed model based on the combination of self-organizing map (SOM) and analog method (AM). The main purpose was to improve the accuracy in rainfall forecasting using HCM. In combination process of HCM, SOM algorithm classifies high dimensional input data to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2017
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| Online Access: | http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/1/32%20Natita%20Wangsoh.pdf |
| _version_ | 1848812809224192000 |
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| author | Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat, |
| author_facet | Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat, |
| author_sort | Natita Wangsoh, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | A hybrid climate model (HCM) is a novel proposed model based on the combination of self-organizing map (SOM) and analog method (AM). The main purpose was to improve the accuracy in rainfall forecasting using HCM. In combination process of HCM, SOM algorithm classifies high dimensional input data to low dimensional of several disjointed clusters in which similar input is grouped. AM searches the future day that has similar property with the day in the past. Consequently, the analog day is mapped to each cluster of SOM to investigate rainfall. In this study, the input data, geopotential height at 850 hPa from the Climate Forecast System Reanalysis (CFSR) are training set data and also the complete rainfall data at 30-meteorological stations from Thai meteorological department (TMD) are observed. To improve capability of rainfall forecasting, three different measures were evaluated. The experimental results showed that the performance of HCM is better than the traditional AM. It is illustrated that the HCM can forecast rainfall proficiently. |
| first_indexed | 2025-11-15T00:08:11Z |
| format | Article |
| id | oai:generic.eprints.org:11724 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:08:11Z |
| publishDate | 2017 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:117242018-05-30T00:03:22Z http://journalarticle.ukm.my/11724/ A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat, A hybrid climate model (HCM) is a novel proposed model based on the combination of self-organizing map (SOM) and analog method (AM). The main purpose was to improve the accuracy in rainfall forecasting using HCM. In combination process of HCM, SOM algorithm classifies high dimensional input data to low dimensional of several disjointed clusters in which similar input is grouped. AM searches the future day that has similar property with the day in the past. Consequently, the analog day is mapped to each cluster of SOM to investigate rainfall. In this study, the input data, geopotential height at 850 hPa from the Climate Forecast System Reanalysis (CFSR) are training set data and also the complete rainfall data at 30-meteorological stations from Thai meteorological department (TMD) are observed. To improve capability of rainfall forecasting, three different measures were evaluated. The experimental results showed that the performance of HCM is better than the traditional AM. It is illustrated that the HCM can forecast rainfall proficiently. Penerbit Universiti Kebangsaan Malaysia 2017-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11724/1/32%20Natita%20Wangsoh.pdf Natita Wangsoh, and Wiboonsak Watthayu, and Dusadee Sukawat, (2017) A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method. Sains Malaysiana, 46 (12). pp. 2541-2547. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num12_2017/contentsVol46num12_2017.htm |
| spellingShingle | Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat, A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title | A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title_full | A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title_fullStr | A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title_full_unstemmed | A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title_short | A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| title_sort | hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method |
| url | http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/1/32%20Natita%20Wangsoh.pdf |