Pemodelan Statistical Downscaling dengan Regresi Modifikasi Jackknife Ridge Dummy Berbasis K-means untuk Pendugaan Curah Hujan
Abstract
Indonesia is a tropical country, which only has two seasons throughout the year, namely the dry season and the rainy season. Thus, it is likely that rain will continue to fall during the dry season, which has a serious impact on various sectors of life. General Circulation Model (GCM) is used to deal with climate change, but the GCM cannot conduct simulations well for local scale climate variables. Therefore, Statistical Downscaling (SD) is used to predict local scale rainfall in the district of Pangkep based on square GCM (CMIP5) 8 × 8 grid data. Modified jackknife ridge regression is used to overcome multicollinearity problems that occur in GCM-lag data. Three dummy variables were added as predictor variables for the model to overcome the heterogeneity of the various forms. SD model MJR dummy regression gives good results based on the coefficient of determination and high correlation with lower root mean square error and root mean square error prediction.References
Sipayung, S. B. (2005). Dampak variabilitas iklim terhadap produksi pangan di Sumatera. Jurnal Sains Dirgantara, 2(2): 111–126.
Sahriman, S., Anisa, Koerniawan V. (2019). Pemodelan Statistical Downscaling dengan Peubah Dummy berdasarkan Teknik Cluster Hierarki dan Non Hirearki untuk penduga curah hujan. Indonesian Journal of Statistics and Its Applications, Vol 3 No 3:295 – 309.
Notodiputro, A. K., Wigena, A. H., Fitriadi. (2005). Pendekatan Regresi Komponen Utama dan ARIMA untuk Statistical Downscaling. Disertasi. Bogor (ID): Institut Pertanian Bogor. Journal Sains Teknologi, Vol. 11,No. 3.
Zorita, E., & Storch, V. H. (1999). The analog method as a simple statistical downscaling technique: comparison with more complicated methods. J Clim, 12:2474-2489.
Wirnancy, JS. (2015). Model Statistical Downscaling dengan Regresi Kuantil Komponen Utama Fungsional untuk Prediksi Curah Hujan Ekstrem [tesis]. Bogor (ID): Institut Pertanian Bogor.
Wigena, A. H. (2006). Pemodelan Statistical Downscaling dengan Regresi Projection Pursuit untuk Peramalan Curah Hujan Bulanan: Kasus Curah Hujan Bulanan diIndramayu. Disertasi. Bogor (ID): Institut Pertanian Bogor.
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