Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020
Satellite precipitation estimations (SPEs) have become important to estimate rainfall in remote and inaccessible areas. The study evaluates two high-resolution SPEs (IMERG and CHIRPS) in Peninsular Malaysia from 2011 to 2020. In situ rain gauge observation data were used as reference data, and a ser...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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IWA publishing
2024
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| Online Access: | https://eprints.ums.edu.my/id/eprint/41520/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41520/2/FULL%20TTEXT.pdf |
| _version_ | 1817926548790968320 |
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| author | Voon Hao Chai Ren Jie Chin Lloyd Ling Yuk Feng Huang Eugene Zhen Xiang Soo |
| author_facet | Voon Hao Chai Ren Jie Chin Lloyd Ling Yuk Feng Huang Eugene Zhen Xiang Soo |
| author_sort | Voon Hao Chai |
| collection | UMS |
| description | Satellite precipitation estimations (SPEs) have become important to estimate rainfall in remote and inaccessible areas. The study evaluates two high-resolution SPEs (IMERG and CHIRPS) in Peninsular Malaysia from 2011 to 2020. In situ rain gauge observation data were used as reference data, and a series of statistic indices were used to evaluate the performance of SPEs. In order to identify the source of error in the SPEs, an error decomposition technique was proposed whereby the bias is segregated into four different independent components. The study found that IMERG outperformed CHIRPS, with both satellites performing well in the east coast region but poor in the central region. A superior correlation between the SPEs and rain gauge observations was found during the northeast monsoon. The false bias has shown the widest range compared to other error components, indicating that it is the main contributor to the total bias of both SPEs in Peninsular Malaysia. |
| first_indexed | 2024-12-09T00:52:47Z |
| format | Article |
| id | ums.eprints-41520 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-12-09T00:52:47Z |
| publishDate | 2024 |
| publisher | IWA publishing |
| record_format | dspace |
| spelling | ums.eprints-415202024-10-22T06:35:48Z https://eprints.ums.edu.my/id/eprint/41520/ Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 Voon Hao Chai Ren Jie Chin Lloyd Ling Yuk Feng Huang Eugene Zhen Xiang Soo Q300-390 Cybernetics QC851-999 Meteorology. Climatology Including the earth's atmosphere Satellite precipitation estimations (SPEs) have become important to estimate rainfall in remote and inaccessible areas. The study evaluates two high-resolution SPEs (IMERG and CHIRPS) in Peninsular Malaysia from 2011 to 2020. In situ rain gauge observation data were used as reference data, and a series of statistic indices were used to evaluate the performance of SPEs. In order to identify the source of error in the SPEs, an error decomposition technique was proposed whereby the bias is segregated into four different independent components. The study found that IMERG outperformed CHIRPS, with both satellites performing well in the east coast region but poor in the central region. A superior correlation between the SPEs and rain gauge observations was found during the northeast monsoon. The false bias has shown the widest range compared to other error components, indicating that it is the main contributor to the total bias of both SPEs in Peninsular Malaysia. IWA publishing 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41520/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41520/2/FULL%20TTEXT.pdf Voon Hao Chai and Ren Jie Chin and Lloyd Ling and Yuk Feng Huang and Eugene Zhen Xiang Soo (2024) Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020. Journal of Hydroinformatics, 27 (7). pp. 1-20. ISSN 464-7141 https://doi.org/10.2166/hydro.2024.084 |
| spellingShingle | Q300-390 Cybernetics QC851-999 Meteorology. Climatology Including the earth's atmosphere Voon Hao Chai Ren Jie Chin Lloyd Ling Yuk Feng Huang Eugene Zhen Xiang Soo Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title | Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title_full | Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title_fullStr | Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title_full_unstemmed | Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title_short | Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in Peninsular Malaysia: 2011–2020 |
| title_sort | regional and seasonal assessment of biases on high resolution satellite precipitation estimations in peninsular malaysia 2011 2020 |
| topic | Q300-390 Cybernetics QC851-999 Meteorology. Climatology Including the earth's atmosphere |
| url | https://eprints.ums.edu.my/id/eprint/41520/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41520/2/FULL%20TTEXT.pdf |
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