Model Statistical Downscaling Nonparametrik pada Simulasi Data Curah Hujan Harian Pos Jurang Malang Daerah Aliran Sungai Jangkok

Authors

  • Mustika Hadijati Program Studi Matematika Universitas Mataram
  • Desy Komalasari
  • Irwansyah Irwansyah

DOI:

https://doi.org/10.29303/emj.v2i2.12

Keywords:

Keywords, simulation, rainfall data, statistical downscaling, CART, kernel nonparametric regression.

Abstract

The prediction of river water discharge can be determined by developing a river water discharge model based on climate information, especially rainfall information. This research aims to obtain a simulation of rainfall data that will be used to river water discharge modeling. The simulation of rainfall data is obtained using statistical downscaling model which develop the functional model between global climate data and local climate data. Daily precipitation of General Circulation Model (GCM) is used to be predictor variables. It is global climate data.. And, daily rainfall of Jangkok watershed, the local climate data, is used to be response variable.. In order to reduce the dimension of GCM global data, GCM data is projected to a litle number of  variable using classification and regression tree (CART) method. Then, the projection variables are used to develop statistical downscaling model of rainfall based on Kernel nonparametric regression. Daily rainfall data of Jurang Malang station, Jangkok watershed, is simulated based on the model obtained. 

References

Eubank, R.L. (1988). Spline Smoothing and Nonparametric Regression. New York: Marcel Dekker. Inc.

Hadijati, M., Komalasari, D., Fitriyani, N. (2016). Statistical Downscaling Regresi Nonparametrik Kernel untuk Prediksi Curah Hujan Bulanan Stasiun Sembalun, Prosiding Seminar Nasional Matematika 2016 Universitas Udayana, 186-196.

Hardle, W. (2004). Applied Nonparametric Regression. http://www.quantlet.de/mdstat/scripts/anr/html/anrhtmltoc.htm. 2-5-2005

Hardle, W. Muller, M. (1997). Multivariate and Semiparametric Regression. http://www.edoc.hu-berlin.de/series/sfb-373-papers/1997-26/PDF/26.pdf. 26-4-2013

Kannan, S., Ghosh, S. (2013). A Nonparametric Kernel Regression Model for Downscaling Multisite Daily Precipitation in The Mahanadi Basin. Water Resources Research, 49.

Lembang, F.K., Setiawan, Sutikno. (2009). Pengembangan Model Ramalan Curah Hujan untuk Pemodelan Statistical Downscaling dengan Pendekatan Regresi Bayes PCA. Seminar Nasional Statistika VI, FMIPA ITS, Surabaya.

Sarda, P. and Vieu, P. (2000). Kernel Regression. In: Smoothing and Regression: Approaches, Computation, and Application. Eds: Schimek, M.G. Canada: John Wiley & Sons, Inc., Pp. 43-67.

Timofeev, R. (2004). Classification and Regression Trees (CART): Theory and Application. Master Thesis, Humboldt University, Berlin.

Wigena, A.H. (2006). Pemodelan Statistical Downscaling dengan Regresi Projection Pursuit untuk Peramalan Curah Hujan Bulanan: Kasus Curah Hujan Bulanan di Indramayu, Disertasi Pascasarjana IPB.

Zorita, E., Storch, H.V. (1999). The Analog Method as A Simple Statistical Downscaling Technuiqe: Comparison with Complicated Methods. J Clim, 12, 2474-2489.

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Published

2018-12-30

How to Cite

Hadijati, M., Komalasari, D., & Irwansyah, I. (2018). Model Statistical Downscaling Nonparametrik pada Simulasi Data Curah Hujan Harian Pos Jurang Malang Daerah Aliran Sungai Jangkok. EIGEN MATHEMATICS JOURNAL, 2(2), 43–47. https://doi.org/10.29303/emj.v2i2.12

Issue

Vol. 1 No. 2 Desember 2018

Section

Articles

License

All articles published in the Eigen Mathematics Journal will be available for free reading and downloading. The license applied to this journal is Creative Commons Attribution-Non-Commercial-Share Alike (CC BY-NC-SA).

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