River catchment rainfall series analysis using additive Holt–Winters method
Climate change is receiving more attention from researchers as the frequency of occurrence of severe natural disasters is getting higher. Tropical countries like Malaysia have no distinct four seasons; rainfall has become the popular parameter to assess climate change. Conventional ways that determi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indian Academy of Sciences
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47401/1/River%20catchment%20rainfall%20series%20analysis%20using%20additive%20Holt%E2%80%93Winters%20method.pdf |
| _version_ | 1825929798824755200 |
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| author | Puah, Yan Jun Huang, Yuk Feng Chua, Kuan Chin Lee, Teang Shui |
| author_facet | Puah, Yan Jun Huang, Yuk Feng Chua, Kuan Chin Lee, Teang Shui |
| author_sort | Puah, Yan Jun |
| collection | UPM |
| description | Climate change is receiving more attention from researchers as the frequency of occurrence of severe natural disasters is getting higher. Tropical countries like Malaysia have no distinct four seasons; rainfall has become the popular parameter to assess climate change. Conventional ways that determine rainfall trends can only provide a general result in single direction for the whole study period. In this study, rainfall series were modelled using additive Holt–Winters method to examine the rainfall pattern in Langat River Basin, Malaysia. Nine homogeneous series of more than 25 years data and less than 10% missing data were selected. Goodness of fit of the forecasted models was measured. It was found that seasonal rainfall model forecasts are generally better than the monthly rainfall model forecasts. Three stations in the western region exhibited increasing trend. Rainfall in southern region showed fluctuation. Increasing trends were discovered at stations in the south-eastern region except the seasonal analysis at station 45253. Decreasing trend was found at station 2818110 in the east, while increasing trend was shown at station 44320 that represents the north-eastern region. The accuracies of both rainfall model forecasts were tested using the recorded data of years 2010–2012. Most of the forecasts are acceptable. |
| first_indexed | 2024-03-06T09:01:59Z |
| format | Article |
| id | upm.eprints-47401 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:01:59Z |
| publishDate | 2016 |
| publisher | Indian Academy of Sciences |
| record_format | dspace |
| spelling | upm.eprints-474012016-05-19T07:13:20Z http://psasir.upm.edu.my/id/eprint/47401/ River catchment rainfall series analysis using additive Holt–Winters method Puah, Yan Jun Huang, Yuk Feng Chua, Kuan Chin Lee, Teang Shui Climate change is receiving more attention from researchers as the frequency of occurrence of severe natural disasters is getting higher. Tropical countries like Malaysia have no distinct four seasons; rainfall has become the popular parameter to assess climate change. Conventional ways that determine rainfall trends can only provide a general result in single direction for the whole study period. In this study, rainfall series were modelled using additive Holt–Winters method to examine the rainfall pattern in Langat River Basin, Malaysia. Nine homogeneous series of more than 25 years data and less than 10% missing data were selected. Goodness of fit of the forecasted models was measured. It was found that seasonal rainfall model forecasts are generally better than the monthly rainfall model forecasts. Three stations in the western region exhibited increasing trend. Rainfall in southern region showed fluctuation. Increasing trends were discovered at stations in the south-eastern region except the seasonal analysis at station 45253. Decreasing trend was found at station 2818110 in the east, while increasing trend was shown at station 44320 that represents the north-eastern region. The accuracies of both rainfall model forecasts were tested using the recorded data of years 2010–2012. Most of the forecasts are acceptable. Indian Academy of Sciences 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47401/1/River%20catchment%20rainfall%20series%20analysis%20using%20additive%20Holt%E2%80%93Winters%20method.pdf Puah, Yan Jun and Huang, Yuk Feng and Chua, Kuan Chin and Lee, Teang Shui (2016) River catchment rainfall series analysis using additive Holt–Winters method. Journal of Earth System Science, 125 (2). pp. 269-283. ISSN 0253-4126; ESSN: 0973-774X http://link.springer.com/article/10.1007%2Fs12040-016-0661-6 10.1007/s12040-016-0661-6 |
| spellingShingle | Puah, Yan Jun Huang, Yuk Feng Chua, Kuan Chin Lee, Teang Shui River catchment rainfall series analysis using additive Holt–Winters method |
| title | River catchment rainfall series analysis using additive Holt–Winters method |
| title_full | River catchment rainfall series analysis using additive Holt–Winters method |
| title_fullStr | River catchment rainfall series analysis using additive Holt–Winters method |
| title_full_unstemmed | River catchment rainfall series analysis using additive Holt–Winters method |
| title_short | River catchment rainfall series analysis using additive Holt–Winters method |
| title_sort | river catchment rainfall series analysis using additive holt winters method |
| url | http://psasir.upm.edu.my/id/eprint/47401/1/River%20catchment%20rainfall%20series%20analysis%20using%20additive%20Holt%E2%80%93Winters%20method.pdf |
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