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...

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Main Authors:	Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:	http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/1/32%20Natita%20Wangsoh.pdf

id	ukm-11724
recordtype	eprints
spelling	ukm-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
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.
format	Article
author	Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat,
spellingShingle	Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat, A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method
author_facet	Natita Wangsoh, Wiboonsak Watthayu, Dusadee Sukawat,
author_sort	Natita Wangsoh,
title	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_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_sort	hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2017
url	http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/ http://journalarticle.ukm.my/11724/1/32%20Natita%20Wangsoh.pdf
first_indexed	2023-09-18T20:01:00Z
last_indexed	2023-09-18T20:01:00Z
_version_	1777406847280480256

A hybrid climate model for rainfall forecasting based on combination of self-organizing map and analog method

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