Validation of Rain Thickness Model Based on GPM Satellite and Surface Measurements
Abstract
The limited acquisition of rainfall data from the Climatological Station of Deli Serdang has resulted in constraints on research in several fields. Global Precipitation Measurement (GPM) has spatial and temporal advantages as a solution to this problem. This study aims to provide information on the rain thickness equation model based on the Global Precipitation Measurement (GPM) Satellite as an alternative to calculating rain thickness at the Climatological Station of Deli Serdang. Data from the Global Precipitation Measurement (GPM) Satellite and Climatological Station of Deli Serdang were used, covering the period from January 1 to December 31, 2021. The Rescaled Adjusted Partial Sums (RAPS) method was used to verify the data quality, and the two data were consistent. The rain thickness equation model was obtained using a simple linear regression method. At the same time, the validation of the rain thickness equation model with surface measurements used the Root Mean Square Error (RMSE), Nash Sutcliffe Efficiency (NSE), and Correlation Coefficient (R) methods. The validation findings demonstrate that the rain thickness data from the Global Precipitation Measurement (GPM) Satellite was close to that of the Climatological Station of Deli Serdang, with an RMSE value of 5.85 mm, NSE of 0.99 mm, and R of 0.99. Hi = 5.21ti0.50 mm was the model used to calculate the equation for rain thickness. 6.84 mm, 0.69 mm, and 0.94 mm were the validation results of the equation model for RMSE, NSE, and R.
Keywords: Rain Thickness, Global Precipitation Measurement (GPM), Climatological Station of Deli Serdang, Equation Model, Validation
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Akbar, D., Nindya Utami, S. N., & Hernandi Virgianto, R. (2021). Analisis Hubungan Kekeringan Meteorologis Dengan Kekeringan Agrikultural Di Pulau Lombok Menggunakan Korelasi Pearson. Delta: Jurnal Ilmiah Pendidikan Matematika, 9(1), 133–144. https://doi.org/10.31941/delta.v9i1.1275
Arrokhman, N. A., Wahyuni, S., & Suhartanto, E. (2021). Evaluasi Kesesuaian Data Satelit untuk Curah Hujan dan Evaporasi Terhadap Data Pengukuran di Kawasan Waduk Sutami. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 1(2), 904–916. https://doi.org/10.21776/ub.jtresda.2021.001.02.46
Aziza, S. N., Somantri, L., & Setiawan, I. (2021). Analisis pemetaan tingkat rawan banjir di Kecamatan Bontang Barat Kota Bontang berbasis sistem informasi geografis. Jurnal Pendidikan Geografis Undiksha, 9(2), 109–120.
Bunganaen, W., Karbeka, N. S., & Hangge, E. E. (2020). Analisis Ketersediaan Air Terhadap Pola Tanam dan Luas Areal Irigasi Daerah Irigasi Siafu. Jurnal Teknik Sipil, IX(1), 15–26.
Bunganaen, W., Krisnayanti, D. S., & Klau, Y. A. (2013). Analisis Hubungan Tebal Hujan dan Durasi Hujan Pada Stasiun Klimatologi Lasiana Kota Kupang. Jurnal Teknik Sipil, II(2), 181–190.
Exacty, D. U., Wijaya, A. P., & Hani’ah. (2014). Analisis Curah Hujan Berdasarkan Kurva Intensitas Durasi Frekuensi (Idf) Di Daerah Potensi Banjir Menggunakan Sistem Informasi Geografis. Geodesi Undip, 3(4), 106–116. https://ejournal3.undip.ac.id/index.php/geodesi/article/view/6805
Hartini, E. (2017). Modul Hidrologi & Hidrolika Terapan. Universitas Dian Nuswantoro Semarang, 94.
Jiwa Osly, P., Dwiyandi, F., Ihsani, I., & Ririhena, R. E. (2019). Analisis Kebutuhan Dan Ketersediaan Air Kabupaten Manokwari Dengan Model Mock. Jurnal Infrastruktur, 5(2), 59–67. https://doi.org/10.35814/infrastruktur.v5i2.1025
Kasnar, S., Hasan, M., Arfin, L., & Sejati, A. E. (2020). Kesesuaian pemetaan daerah potensi rawan banjir metode overlay dengan kondisi sebenarnya di kota kendari. Tunas Geografi, 8(2), 85. https://doi.org/10.24114/tgeo.v8i2.15088
Kurniawan, I., & Jendra, M. D. (2022). Evaluasi Data GPM-IMERG (Global Precitipation Measurement - Integrated Multi-Satellite Retrieval For GPM) di Provinsi NTB. Megasains, 13(01), 6–13. https://doi.org/10.46824/megasains.v13i01.62
Made Duwanda, I. G. A., & Sukarasa, I. K. (2022). Validasi Curah Hujan Harian Berdasarkan Data Global Satellite Mapping of Precipitation (GSMaP) dengan Data Observasi di Wilayah Bali. Buletin Fisika No. 2, 23(2), 106–112.
Natadiredja, S., Sukarasa, I. K., & Sutapa, G. N. (2018). Validasi Curah Hujan Harian Berdasarkan Data Global Satellite Validation of Daily Rainfall Based on Global Satellite Mapping of. 19(1), 12–15.
Nggarang, Y. E. P., Pattiraja, A. H., & Henong, S. B. (2020). Analisa Perbandingan Penentuan Debit Rencana Menggunakan Metode Nakayasu dan Simulasi Aplikasi HEC-HMS di DAS Lowo Rea. 1(1), 23–33.
Novita, F., Harisuseno, D., & Suhartanto, E. (2021). Analisis Kekeringan Meteorologi dengan Menggunakan Metode Standardized Precipitation Index (SPI) dan China Z Index (CZI) di DAS Lekso Kabupaten Blitar. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 1(2), 648–650. https://doi.org/10.21776/ub.jtresda.2021.001.02.28
Nuramalia, R., & Lasminto, U. (2022). Keandalan Data Curah Hujan Satelit TRMM (Tropical Rainfall Measuring Mission) Terhadap Data Curah Hujan Stasiun Bumi pada Beberapa Sub DAS di DAS Brantas. Jurnal Aplikasi Teknik Sipil, 20(2), 207–222. https://doi.org/10.12962/j2579-891x.v20i2.12015
Nurhaya, E. S. (2020). Analisis Hubungan Durasi Hujan Terhadap Tebal Hujan Dan Intensitas Hujan Pada Stasiun Klimatologi Pondok Betung Kota Tangerang Selatan. Sains Dan Teknologi, 1, 2020.
Pariartha, I. P. G. S., Dika Arimbawa, I. K., & Infantri Yekti, M. (2021). Analisis Debit Rencana Tukad Unda Bagian Hilir Menggunakan HEC-HMS. Jurnal Teknik Pengairan, 12(2), 116–126. https://doi.org/10.21776/ub.pengairan.2021.012.02.04
Partarini, N. M. C., Sujono, J., & Pratiwi, E. P. A. (2021). Koreksi dan Validasi Data Curah Hujan Satelit GPM-IMERG dan CHIRPS di Das Selorejo, Kabupaten Malang. Prosiding CEEDRiMS, 1(1), 149–156. https://giovanni.gsfc.nasa.gov/
Patabang, S. T., Harisuseno, D., & Fidarih, J. S. (2022). Validasi Data Curah Hujan PERSIANN ( Precipitation Estimation from Remotely Sensed Information using Artifial Neural Networks ) dengan Pos Stasiun Hujan di DAS Selorejo. 3(1), 1–11.
Saidah, H., Setiawan, A., Hanifah, L., Pradjoko, E., & Suroso, A. (2021). Koreksi Bias Data Hujan Luaran GCM ECHAM5 Untuk Prediksi Curah Hujan Bulanan dan Musiman Pulau Lombok. Jurnal Sains Teknologi & Lingkungan, 7(2), 209–219. https://doi.org/10.29303/jstl.v7i2.289
Satria WD, H., Adi, S. P., Zainab, S., Qothrunada, D. T., & Sutaryani, A. (2022). Evaluasi Data Estimasi Curah Hujan Satelit TRMM 3B42 dengan Data Pengamatan Permukaan di Kendari. G-Tech: Jurnal Teknologi Terapan, 6(1), 39–46. https://doi.org/10.33379/gtech.v6i1.1255
Siregar, D. C., Ardah, V. P., & Navitri, A. M. (2020). Analisis Kondisi Atmosfer Terkait Siklon Tropis Pabuk Serta Pengaruhnya Terhadap Tinggi Gelombang di Perairan Kepulauan Riau. Tunas Geografi, 8(2), 111–122. https://doi.org/10.24114/tgeo.v8i2.17049
Sun, W., Sun, Y., Li, X., Wang, T., Wang, Y., Qiu, Q., & Deng, Z. (2018). Evaluation and correction of GPM IMERG precipitation products over the capital circle in Northeast China at multiple spatiotemporal scales. Advances in Meteorology, 2018, 1–14. https://doi.org/10.1155/2018/4714173
Sungmin, O., Foelsche, U., Kirchengast, G., Fuchsberger, J., Tan, J., & Petersen, W. A. (2017). Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria. Hydrology and Earth System Sciences, 21(12), 6559–6572. https://doi.org/10.5194/hess-21-6559-2017
W. Solin, Y. E. (2012). Analisis Kebutuhan dan Ketersediaan Air Secara Meteorologis Di Daerah Aliran Sungai Deli Provinsi Sumatera Utara. Tunas Geografi, 1(1), 34–47. https://doi.org/10.24114/tgeo.v1i1.480
Wahdianty, R., Ridwan, I., & Nurlina. (2016). Verifikasi Data Curah Hujan dari Satelit TRMM dengan Pengamatan Curah Hujan BMKG Di Provinsi Kalimantan Selatan. Jurnal Fisika FLux, 13(2), 139–147. http://ppjp.unlam.ac.id/journal/index.php/f/
Welkis, D. F., Harisuseno, D., & Wahyuni, S. (2022). Pemodelan Debit dengan Data Curah Hujan dari Rain Gauges dan Data TRMM pada DAS Temef di Pulau Timor - NTT. Jurnal Teknik Sumber Daya Air, 2(1), 35–46. https://doi.org/10.56860/jtsda.v2i1.30
DOI: https://doi.org/10.24114/tgeo.v11i2.40594
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