CD Tesis
Evaluasi Data Curah Hujan Satelit (Gpm, Chirps, Dan Gsmap) Terhadap Data Curah Hujan Wilayah Sungai Siak
Rainfall is an important element in the hydrological cycle. Rainfall is measured in inches or millimeters, which shows the height of rainwater that falls and covers the surface in a certain period. For example, 1 millimeter of rainfall means that the height of the rainwater that falls reaches 1 millimeter and covers the ground surface with that thickness. In this research, rainfall data was evaluated using data from 3 satellites, namely from the Global Precipitation Measurement (GPM), Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), and Global Satellite Measurement of Precipitation (GSMAP) satellites. The statistical parameters used in this research are Correlation Coefficient, MAE, RMSE, Man-Withney Test, RAPS and Weibull Distribution. Data between surface rainfall and GPM, CHIRPS and GSMaP satellite rainfall have good agreement and show that the rainfall measurement method from satellites is reliable, and obtaining this agreement involves Weibull distribution analysis and statistical methods of correlation coefficient, RMSE, and correction using regression method. The results of the corrected rainfall data at the 4 Siak River Area Stations that have been identified show a correlation from 3 satellites, the first being Artificial Station, Kandis, Pekanbaru and Petapahan, a correlation of 1, which means that the overall results of each rain station with the satellite get a correlation with very good category. Correction equation using the stepwise regression method, the results of the correction equation d show an increased correlation coefficient value, and the error value indicated by GPM, CHIRPS and GSMaP rainfall decreases.
Keywords: Evaluation, CHIRPS, GPM, GSMaP, Rainfall
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