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Journal : Forum Geografi

Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait Giarno, G; Hadi, Muhammad Pramono; Suprayogi, Slamet; Murti, Sigit Heru
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5774

Abstract

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.
SUITABLE PROPORTION SAMPLE OF HOLDOUT VALIDATION FOR SPATIAL RAINFALL INTERPOLATION IN SURROUNDING THE MAKASSAR STRAIT Giarno, Giarno; Hadi, Muhammad Pramono; Suprayogi, Slamet; Murti, Sigit Heru
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8351

Abstract

Spatial rainfall interpolation requires a number of suitable validation samples to maintain accuracy. Generally, the larger the areas which can be predicted, the better the interpolation. In addition, the data used for validation should be separated from the modelling data. Moreover, the number of samples determine optimally proportion the independent sites. The objective of this study is to determine the optimal sample ratio for holdout validation in interpolation methods; the Makassar Strait was chosen as the study location because of its daily rainfall variation. The accuracy of the sample selection is tested using correlation, root mean square error (RMSE), mean absolute error (MAE) and the indicators of contingency tables. The results show that accuracy depends on the ratio of the modelling data. Therefore, the more extensive the data used for interpolation, the better the accuracy. Otherwise, if the rain gauge data is separated according to province, there will be a variation in accuracy in the portion of independent samples. For rainfall interpolation, it is recommended to use a minimum 75% of data sites to maintain accuracy. Comparison between kriging and inverse distance weighting or IDW methods indicates that IDW is better. Moreover, rainfall characteristics affect the accuracy and portion of the independent sample.
Suitable Proportion Sample of Holdout Validation for Spatial Rainfall Interpolation in Surrounding the Makassar Strait Giarno Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8351

Abstract

Spatial rainfall interpolation requires a number of suitable validation samples to maintain accuracy. Generally, the larger the areas which can be predicted, the better the interpolation. In addition, the data used for validation should be separated from the modelling data. Moreover, the number of samples determine optimally proportion the independent sites. The objective of this study is to determine the optimal sample ratio for holdout validation in interpolation methods; the Makassar Strait was chosen as the study location because of its daily rainfall variation. The accuracy of the sample selection is tested using correlation, root mean square error (RMSE), mean absolute error (MAE) and the indicators of contingency tables. The results show that accuracy depends on the ratio of the modelling data. Therefore, the more extensive the data used for interpolation, the better the accuracy. Otherwise, if the rain gauge data is separated according to province, there will be a variation in accuracy in the portion of independent samples. For rainfall interpolation, it is recommended to use a minimum 75% of data sites to maintain accuracy. Comparison between kriging and inverse distance weighting or IDW methods indicates that IDW is better. Moreover, rainfall characteristics affect the accuracy and portion of the independent sample.
Co-Authors - Hartono Agus Joko Pitoyo Agus Prasetya Agustinus, A.K.A Ahmad Cahyadi **) Ai Siti Patimah Amru, Khaerul Andri Saputra Arina Miardini Arno, Giarno Artha Uli Simatupang Aryaguna, Prama Ardha Binsasi, Remigius Bintoro Saputro Bowo Susilo Bowo Susilo Chatarina Ganis Ratna Wardani Christian S. Imburi Cynthia Permata Sari Defri Mandoza Dhimas Wiratmoko Eko Haryono Erny Poedjirahajoe Erwika Dora Jati Fahmi, Said Giarno Giarno Hadiyan, Yayan Halvina Grasela Saiya Handayani, Nelly Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Algi Variski Hatma Suryatmojo Hendy Fatchurohman Hudaya, Yudi Fatwa Indra Agus Riyanto Irsan, Laode Muhamad Jati, Erwika Dora Jaya, Risman Khaerul Amru Kurniawan Sigit Wicaksono Langgeng Wahyu Santosa Luthfi Muta'ali Mariah Ulfa Masrur Alatas Milla, Helny Yofin Mega Moehar Maraghiy Harahap Muhammad Pramono Hadi Muhammad Pramono Hadi, Muhammad Pramono Muhammad Sulaiman Mutia Herni Ningrum Netty Dahlah Uar Ningrum, Mutia Herni Ningrum, Ratna Kusuma Nur Aziz Widodo Nurani, Ratna Nurul Astuti, Nurul Pendi Tri Sutrisno Prabang Setyono Pramaditya Wicaksono, Pramaditya Prihantarto, Wikan Jaya Prima Dinta Syam Prima Widayani Projo Danoedoro R. Suharyadi Raras Endarto Raras Endarto Retno Peni Sancayaningsih RETNO PENI SANCAYANINGSIH S Suratman Safitri, Nabila Zalianti Said Fahmi Sanjiwana Arjasakusuma Setyowati, Heratania Aprilia Slamet Suprayogi Slamet Suprayogi Slamet Suprayogi Sri Rahayu Budiani Su Ritohardoyo Sudaryatno Sunarto Sunarto Suprapto Dibyosaputro Suratman Suratman SUWARNO HADISUSANTO Taufik Hery Purwanto Tjahyo Nugroho Adji Totok Gunawan Totok Gunawan Totok Gunawan Totok Gunawan Wa Alimuna Wahyu, Hyundra Zakiya Putri Widhi Himawan Widyatmanti, Wirastuti Wikan Jaya Prihantarto Yanuar Adji Nugroho Yayan Hadiyan Yudi Fatwa Hudaya Yudi Fatwa Hudaya Zuhrita, Anissa Zulfajri Zulfajri, Zulfajri