Utilization of Air Humidity and Surface Air Temperature Data in Regression Equations for Rainfall Forecast Simulation in the Gamping Area, Sleman, Yogyakarta (Yogyakarta Class 1 Geophysical Station)
Pemanfaatan Data Kelembapan Udara Dan Suhu Udara Permukaan Dalam Persamaan Regresi Untuk Simulasi Prakiraan Curah Hujan Di Daerah Gamping Sleman Yogyakarta (Stasiun Geofisika Kelas 1 Yogyakarta)
DOI:
https://doi.org/10.14421/physics.v6i1.5136Keywords:
Rain, Relative Humidity, Air Temperature, Linier RegressionAbstract
Rainfall prediction simulations for January 2010 using predictors of air humidity (RH) and air temperature (T) have been carried out at Yogyakarta Geophysics Station. Rainfall prediction in January 2010 using average weather parameter data and real time data in the Gamping Sleman Yogyakarta area has been carried out using two regression methods, namely simple linear regression equation method and multiple linear regression. The evaluation is done by comparing and calculating the amount of deviation from the prediction of total monthly rainfall to the observation of total monthly rainfall. The results of data processing carried out to predict rainfall in January 2010 show. In the study area, rainfall was very strong with RMSE = 0.68 mm using predictors of air temperature and humidity at the same time.
References
S. Wirjohamidjojo and Y. Swarinoto, Iklim Kawasan Indonesia: Dari Aspek Dinamik-Sinoptik. Jakarta: Badan Meteorologi Klimatologi dan Geofisika, 2010.
S. Nieuwolt, Tropical Climatology: An Introduction to the Climates of Low Latitudes, 2nd ed.,. Chichester: John Wiley & Sons, 1998.
A. G. Kastasapoetra, Klimatologi: Pengaruh Iklim terhadap Tanah dan Tanaman. Jakarta: Bumi Aksara, 2006.
S. Wirjohamidjojo and Y. Swarinoto, Praktek Meteorologi Pertanian, Jakarta: Badan Meteorologi dan Geofisika. Jakarta: Badan Meteorologi Klimatologi dan Geofisika, 2007.
B. Lakitan, Dasar-Dasar Klimatologi, Jakarta: PT Raja Grafindo Persada, 1997.
H. I. Etal, “Koefisien Pemadaman Tajuk dan Efisiensi Penggunaan Radiasi Surya pada Tanaman Kentang (Solanum tuberosum L.),” Jurnal Agromet IPB, vol. 24, no. 2, pp. 30–35, 2010.
Handoko, Klimatologi Dasar: Landasan Pemahaman Fisika Atmosfer dan Unsur-unsur Iklim, Jakarta: PT Dunia Pustaka Jaya, 1995.
S. Harto, Analisis Hidrologi, Jakarta: Gramedia Pustaka Utama, 1993.
Ismangil, Suhu, Tekanan, Kelembaban Udara dan Pengaruhnya terhadap Tanaman, Purwokerto: Universitas Jenderal Soedirman, 2004.
B. Tjasyono, Klimatologi, Bandung: Penerbit ITB, 2004.
Prihatini, “Kaitan Southern Oscillation Index dengan Total Hujan Bulanan di Pontianak,” Jurnal Meteorologi dan Geofisika, vol. 1, no. 1, pp. 45–52, 2000.
Soetamto and U. Maria, Pelatihan Peningkatan Akurasi Prakiraan Musim, Jakarta: Badan Meteorologi Klimatologi dan Geofisika, 2010.
M. Subarjo, Buku Ajar Meteorologi dan Klimatologi, Bandar Lampung: Universitas Lampung, 2013.
Sudjana, Metoda Statistika, 6th ed., Bandung: Tarsito, 1995.
S. L. Tisdale and W. L. Nelson, Soil Fertility and Fertilizers, 3rd ed., New York: Macmillan, 1975.
C. Trihendradi, Step by Step SPSS 13: Analisis Data Statistik, Yogyakarta: Andi Offset, 2005.
D. S. Wilks, Statistical Methods in the Atmospheric Sciences, San Diego: Academic Press, 1995.
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