Validation of TRMM and GPM Satellite Data Using Daily Rainfall Observations
DOI:
https://doi.org/10.33379/gtech.v8i2.4118Keywords:
TRMM, GPM, precipitation, validationAbstract
Hydrological analysis require accurate rainfall data, which can be challenging. High-resolution satellite data on rainfall can be a solution. This study examines the accuracy of rainfall data in the Kuranji watershed by comparing it with satellite rainfall data from TRMM and GPM. Uncorrected and corrected data were assessed using validation techniques such as RMSE, NSE, R, and RB. The results show that rainfall can be accurately detected using GPM and TRMM satellite data. With the largest correlation value of 0.962, the GPM IMERG-F data shows superior performance. Therefore, this study recommends that GPM IMERG-F data be used for hydrological studies in the Kuranji watershed, especially in areas that do not have observational rainfall data.
References
Alsumaiti, T. ., Hussein, K., Ghebreyesus, D. ., & Sharif, H. . (2020). Performance of the CMORPH and GPM IMERG products over the United Arab Emirates. Remote Sensing, 12(9). https://doi.org/10.3390/RS12091426.
Andari, R., & Nurhamidah. (2023). Validasi Data Satelit Tropical Rainfall Measurement Mission dengan Menggunakan Pengamatan Curah Hujan. Jurnal Serambi Engineering, 9(1), 7690–7697. https://doi.org/10.32672/jse.v9i1.734.
Faisol, A., & Ollin Paga, B. (2021). Komparasi Citra Satelit Hujan Resolusi Tinggi dalam Mengestimasi Curah Hujan Harian di Provinsi Papua Barat Comparison of High-Resolution Rainfall Satellite Image in Estimating Daily Rainfall in West Papua. 4(1), 2620–4738.
Fang, J., Yang, W., Luan, Y., Du, J., Lin, A., & Zhao, L. (2019). Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China. Atmospheric Research. https://www.sciencedirect.com/science/article/pii/S0169809518311499.
Jarwanti, D. P., Suhartanto, E., & Fidari, J. S. (2021). Validasi Data Curah Hujan Satelit TRMM (Tropical Rainfall Measuring Mission) dengan Data Pos Penakar Hujan di DAS Grindulu, Kabupaten Pacitan, Jawa Timur. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 1(2), 772–785. https://doi.org/10.21776/ub.jtresda.2021.001.02.36.
Krisnayanti, D. S., Welkis, D. F. B., Hepy, F. M., & Legono, D. (2020). Evaluasi Kesesuaian Data Tropical Rainfall Measuring Mission (TRMM) dengan Data Pos Hujan Pada Das Temef di Kabupaten Timor Tengah Selatan. Jurnal Sumber Daya Air, 16(1), 51–62. https://doi.org/10.32679/jsda.v16i1.646.
Li, Q., Wei, J., Yin, J., Qiao, Z., Peng, W., & Peng, H. (2021). Multiscale comparative evaluation of the GPM and TRMM precipitation products against ground precipitation observations over chinese tibetan plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2295–2313. https://doi.org/10.1109/JSTARS.2020.3047897.
Lufi, S., Ery, S., & Rispiningtati, R. (2020). Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed. Civil and Environmental Science, 003(01), 018–030. https://doi.org/10.21776/ub.civense.2020.00301.3.
Mamenun, M., Pawitan, H., & Sopaheluwakan, A. (2014). Validasi Dan Koreksi Data Satelit Trmm Pada Tiga Pola Hujan Di Indonesia. Jurnal Meteorologi Dan Geofisika, 15(1), 13–23. https://doi.org/10.31172/jmg.v15i1.169.
Marta, S. D., Suhartanto, E., & Fidari, J. S. (2023). Validasi Data Curah Hujan Satelit dengan Data Stasiun Hujan di DAS Ngasinan Hulu, Kabupaten Trenggalek, Jawa Timur. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 3(1), 35–45. https://doi.org/10.21776/ub.jtresda.2023.003.01.04.
Maulana, H., Suhartanto, E., & Harisuseno, D. (2019). Analysis of Water Availability Based on Satellite Rainfall in the Upper Brantas River Basin. International Research Journal of Advanced Engineering and Science, 4(2), 393–398.
Pratama, A., Agiel, H. M., & Oktaviana, A. A. (2022). Evaluasi Satellite Precipitation Product (GSMaP, CHIRPS, dan IMERG) di Kabupaten Lampung Selatan. Journal of Science and Applicative Technology, 6(1), 32. https://doi.org/10.35472/jsat.v6i1.702.
Ramadhan, R., Muharsyah, R., Marzuki, Yusnaini, H., Vonnisa, M., Hashiguchi, H., Suryanto, W., & Sholihun. (2022). Evaluation of GPM IMERG Products for Extreme Precipitation over Indonesia. Journal of Physics: Conference Series, 2309(1). https://doi.org/10.1088/1742-6596/2309/1/012008.
Satria WD, H., & Qothrunada, D. T. (2022). Evaluasi Data Estimasi Curah Hujan Satelit Trmm 3B42 Dengan Data Observasi Di Kolaka Tahun 2019. EduFisika: Jurnal Pendidikan Fisika, 7(2), 214–220. https://doi.org/10.59052/edufisika.v7i2.20374.
Shirmohammadi-Aliakbarkhani, Z., & Akbari, A. (2020). Ground validation of diurnal TRMM 3B42 V7 and GPM precipitation products over the northeast of Iran. Theoretical and Applied Climatology, 142(3), 1413–1423. https://doi.org/10.1007/s00704-020-03392-0.
Suryani, A. I. (2017). Kajian Reklamasi Lahan Daerah Aliran Sungai Batang Kuranji Kota Padang. Jurnal Spasial, 1(1), 16–30. https://doi.org/10.22202/js.v1i1.1571.
Wang, S., Liu, J., Wang, J., Qiao, X., & Zhang, J. (2019). Evaluation of GPM IMERG V05B and TRMM 3B42V7 Precipitation products over high mountainous tributaries in Lhasa with dense rain gauges. Remote Sensing. https://www.mdpi.com/528832.
Yang, X., Lu, Y., Tan, M. L., Li, X., Wang, G., & He, R. (2020). Nine-year systematic evaluation of the GPM and TRMM precipitation products in the shuaishui river basin in east-central china. Remote Sensing. https://www.mdpi.com/672750.
Yunita Samosir, D., Made Yuliara, I., & Prasetia, R. (2021). Perbandingan dan Analisis Pola Spasial Curah Hujan Data IMERG (Integrated Multi-Satellite Retrievals for GPM) dan Data Observasi di Provinsi Bali Comparison and Analysis of Rainfall Spatial Patterns IMERG (Integrated Multi-Satellite Retrievals for GPM) Da. SINTA 4 Accreditation Starting On, 22(2), 67–76. https://disc.gsfc.nasa.gov.
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