Koreksi dan Validasi Data Curah Hujan satelit Power MERRA-2, GSMaP, dan PERSIANN Terhadap Data Pos Penakar Hujan pada DAS Manikin di Provinsi NTT

Baria, Irene (2026) Koreksi dan Validasi Data Curah Hujan satelit Power MERRA-2, GSMaP, dan PERSIANN Terhadap Data Pos Penakar Hujan pada DAS Manikin di Provinsi NTT. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Daerah Aliran Sungai Manikin merupakan wilayah strategis dalam pengelolaan sumber daya air di Kabupaten Kupang. Namun, keterbatasan data curah hujan dari pos hujan selama sepuluh tahun terakhir telah menghambat analisis hidrologi yang akurat dan berkelanjutan. Data curah hujan satelit berpotensi menjadi alternatif untuk mengisi kekosongan data tersebut, tetapi memerlukan proses kalibrasi dan validasi agar sesuai dengan kondisi hujan aktual di lapangan. Penelitian ini mengevaluasi kinerja kalibrasi tiga produk data curah hujan satelit, yaitu Power MERRA-2, GSMaP, dan PERSIANN-CCS, terhadap data observasi pos hujan di DAS Manikin pada skala waktu tahunan, bulanan, dan harian dengan adanya penyesuaian waktu satelit dan observasi. Kalibrasi dilakukan menggunakan enam metode koreksi bias, yaitu Linear Scaling, Delta, regresi Polinomial orde 2 dan 3, Quantile Mapping, serta Hybrid Polynomial–Quantile Mapping. Selanjutnya, dilakukan analisis perbandingan hasil validasi untuk menentukan produk satelit dan metode kalibrasi terbaik. Selain itu, dianalisis pula pengaruh klasifikasi hujan (basah, normal, dan kering) terhadap kinerja validasi. Hasil validasi menunjukkan bahwa seluruh produk satelit memiliki tingkat kesalahan relatif yang sangat baik pada semua skala waktu. Berdasarkan nilai Nash–Sutcliffe Efficiency (NSE) dan koefisien korelasi tertinggi serta nilai RSR terendah, baik dari analisis deret waktu maupun grafik Cumulative Distribution Function (CDF), satelit Power MERRA-2 dengan metode Polinomial orde 3 terpilih sebagai kombinasi terbaik. Kinerja validasi pada tahun hujan normal lebih baik dibandingkan tahun basah dan kering. Secara keseluruhan, Persamaan Kalibrasi 1 yaitu dari skenario 60% tahun normal dan 40% tahun basah menunjukkan kinerja paling optimal, sehingga data curah hujan satelit yang telah dikoreksi berpotensi besar untuk mengisi kekosongan data pos hujan dan mendukung analisis sumber daya air yang lebih andal di DAS Manikin.
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The Manikin Watershed is a strategic area for water resources management in Kupang Regency. However, the limited availability of rainfall data from rain gauge stations over the past ten years has hindered accurate and sustainable hydrological analysis. Satellite-based rainfall data offer a potential alternative to fill these data gaps; nevertheless, calibration and validation processes are required to ensure consistency with actual rainfall conditions observed in the field. This study evaluates the calibration performance of three satellite rainfall products-Power MERRA-2, GSMaP, and PERSIANN-CCS-against rain gauge observations in the Manikin Watershed at annual, monthly, and daily time scales, incorporating temporal adjustments between satellite and observational data. Calibration was conducted using six bias correction methods: Linear Scaling, Delta, second- and third-order Polynomial Regression, Quantile Mapping, and a Hybrid Polynomial–Quantile Mapping approach. A comparative validation analysis was then performed to identify the best-performing satellite product and calibration method. In addition, the influence of rainfall classification (wet, normal, and dry years) on validation performance was also examined. The validation results indicate that all satellite products exhibit very good relative error performance across all time scales. Based on the highest Nash–Sutcliffe Efficiency (NSE) and correlation coefficient values, as well as the lowest RSR values-derived from both time series analysis and Cumulative Distribution Function (CDF) plots-Power MERRA-2 calibrated using third-order Polynomial Regression was identified as the optimal combination. Validation performance during normal rainfall years was superior to that observed during wet and dry years. Overall, Calibration Equation 1, derived from a scenario consisting of 60% normal years and 40% wet years, demonstrated the most optimal performance. Consequently, the bias-corrected satellite rainfall data show strong potential for filling rain gauge data gaps and supporting more reliable water resources analysis in the Manikin Watershed.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Validasi Curah Hujan, Data Satelit, Pos Hujan, Koreksi Data Hujan satelit, DAS Manikin, Kupang, Provinsi NTT ================================= Rainfall Validation, Satellite Data, Rain Gauge, Satellite Rain Data Correction, Manikin Watershed, Kupang, NTT Province
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering > TC424 Water levels T Technology > TC Hydraulic engineering. Ocean engineering > TC530 Flood control
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Civil Engineering > 22101-(S2) Master Thesis
Depositing User:	Irene Baria
Date Deposited:	02 Feb 2026 01:26
Last Modified:	02 Feb 2026 01:26
URI:	http://repository.its.ac.id/id/eprint/131483

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