Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait
This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this pur...
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Universitas Muhammadiyah Surakarta
2018
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| Online Access: | https://journals.ums.ac.id/index.php/fg/article/view/5774 |
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| author | Giarno, G Hadi, Muhammad Pramono Suprayogi, Slamet Murti, Sigit Heru |
| author_facet | Giarno, G Hadi, Muhammad Pramono Suprayogi, Slamet Murti, Sigit Heru |
| author_sort | Giarno, G |
| collection | OJS |
| description | This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-5774 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2018 |
| publisher | Universitas Muhammadiyah Surakarta |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-5774 Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait Giarno, G Hadi, Muhammad Pramono Suprayogi, Slamet Murti, Sigit Heru Geography rainfall pattern; accuracy of TRMM; monsoon; Indonesia; Makassar Strait Remote Sensing, Meteorology This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table. Universitas Muhammadiyah Surakarta 2018-05-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion comparing point to pixel application/pdf text/html https://journals.ums.ac.id/index.php/fg/article/view/5774 10.23917/forgeo.v32i1.5774 Forum Geografi; Vol 32, No 1 (2018): July 2018; 38-52 2460-3945 0852-0682 eng https://journals.ums.ac.id/index.php/fg/article/view/5774/4074 https://journals.ums.ac.id/index.php/fg/article/view/5774/3885 Surrounding Makassar Strait 2015 Evaluation TRMM rainfall estimation Copyright (c) 2018 Giarno Arno, Muhammad Pramono Hadi, Slamet Suprayogi, Sigit Heru Murti https://creativecommons.org/licenses/by-nc-nd/4.0 |
| spellingShingle | Geography rainfall pattern; accuracy of TRMM; monsoon; Indonesia; Makassar Strait Remote Sensing, Meteorology Giarno, G Hadi, Muhammad Pramono Suprayogi, Slamet Murti, Sigit Heru Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title | Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title_full | Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title_fullStr | Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title_full_unstemmed | Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title_short | Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait |
| title_sort | distribution of accuracy of trmm daily rainfall in makassar strait |
| topic | Geography rainfall pattern; accuracy of TRMM; monsoon; Indonesia; Makassar Strait Remote Sensing, Meteorology |
| topic_facet | Geography rainfall pattern; accuracy of TRMM; monsoon; Indonesia; Makassar Strait Remote Sensing, Meteorology |
| url | https://journals.ums.ac.id/index.php/fg/article/view/5774 |
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