Validation of Satellite Daily Rainfall Estimates Over Indonesia
Rainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the dail...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Surakarta
2018-11-01
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| Series: | Forum Geografi |
| Subjects: | |
| Online Access: | http://journals.ums.ac.id/index.php/fg/article/view/6288 |
| _version_ | 1797426177789394944 |
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| author | Fatkhuroyan Fatkhuroyan Trinah Wati Alfan Sukmana Roni Kurniawan |
| author_facet | Fatkhuroyan Fatkhuroyan Trinah Wati Alfan Sukmana Roni Kurniawan |
| author_sort | Fatkhuroyan Fatkhuroyan |
| collection | DOAJ |
| description | Rainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the daily rainfall data from GSMaP Moving Kalman Filter (MVK) to readings from 152 rain-gauge observation stations across Indonesia from March 2014 to December 2017. The results show that the correlation coefficient (CC) provides better validation in the rainy season while root mean square error (RMSE) is more accurate in the dry season. The highest proportion correct (PC) value is obtained for Bali-NTT, while the highest probability of detection (POD) and false alarm ratio (FAR) values are obtained for Kalimantan. GSMaP-MVK data is over-estimated compared to observations in Indonesia, with the mean accuracy for daily rainfall estimation being 85.47% in 2014, 85.74% in 2015, 82.73 in 2016, and 82.59% in 2017. |
| first_indexed | 2024-03-09T08:26:32Z |
| format | Article |
| id | doaj.art-48ed8151c7b2475e8b4ce799d46a1b20 |
| institution | Directory Open Access Journal |
| issn | 0852-0682 2460-3945 |
| language | English |
| last_indexed | 2024-03-09T08:26:32Z |
| publishDate | 2018-11-01 |
| publisher | Universitas Muhammadiyah Surakarta |
| record_format | Article |
| series | Forum Geografi |
| spelling | doaj.art-48ed8151c7b2475e8b4ce799d46a1b202023-12-02T21:08:17ZengUniversitas Muhammadiyah SurakartaForum Geografi0852-06822460-39452018-11-0132210.23917/forgeo.v32i2.62884319Validation of Satellite Daily Rainfall Estimates Over IndonesiaFatkhuroyan Fatkhuroyan0Trinah Wati1Alfan Sukmana2Roni KurniawanBMKG IndonesiaBMKGBMKGRainfall is the most important factor in the Earth’s water and energy cycles. The aim of this research is to evaluate the accuracy of Global Satellite Mapping of Rainfall (GSMaP) data by referencing daily rain-gauged rainfall measurements across the Indonesian Maritime Continent. We compare the daily rainfall data from GSMaP Moving Kalman Filter (MVK) to readings from 152 rain-gauge observation stations across Indonesia from March 2014 to December 2017. The results show that the correlation coefficient (CC) provides better validation in the rainy season while root mean square error (RMSE) is more accurate in the dry season. The highest proportion correct (PC) value is obtained for Bali-NTT, while the highest probability of detection (POD) and false alarm ratio (FAR) values are obtained for Kalimantan. GSMaP-MVK data is over-estimated compared to observations in Indonesia, with the mean accuracy for daily rainfall estimation being 85.47% in 2014, 85.74% in 2015, 82.73 in 2016, and 82.59% in 2017.http://journals.ums.ac.id/index.php/fg/article/view/6288GSMaPrainfallrain-gauge |
| spellingShingle | Fatkhuroyan Fatkhuroyan Trinah Wati Alfan Sukmana Roni Kurniawan Validation of Satellite Daily Rainfall Estimates Over Indonesia Forum Geografi GSMaP rainfall rain-gauge |
| title | Validation of Satellite Daily Rainfall Estimates Over Indonesia |
| title_full | Validation of Satellite Daily Rainfall Estimates Over Indonesia |
| title_fullStr | Validation of Satellite Daily Rainfall Estimates Over Indonesia |
| title_full_unstemmed | Validation of Satellite Daily Rainfall Estimates Over Indonesia |
| title_short | Validation of Satellite Daily Rainfall Estimates Over Indonesia |
| title_sort | validation of satellite daily rainfall estimates over indonesia |
| topic | GSMaP rainfall rain-gauge |
| url | http://journals.ums.ac.id/index.php/fg/article/view/6288 |
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