Simulation of Weather Data in Brahmaputra Basin Using K-Nearest Neighbour Model

Azhar Husain^1, and Mohammed Sharif¹

¹Department of Civil Engineering, Jamia Millia Islamia (Central University), New Delhi

Cite this paper:
Azhar Husain and Mohammed Sharif. Simulation of Weather Data in Brahmaputra Basin Using K-Nearest Neighbour Model. American Journal of Water Resources. 2018; 6(3):137-142. doi: 10.12691/ajwr-6-3-4

Abstract

This paper describes the application of a K-nearest neighbor weather-generating model that allows resampling with perturbation of the observed data to simulate (1) duration of extreme wet spells, and (2) duration of extreme dry spells in the Brahmaputra River Basin. The results of the simulation of extreme events carried out by the K-NN model clearly indicated that the model generated unprecedented extreme events that were not seen in the observed record. Several extreme wet spells were simulated by the KNN model, which are a critical input to flood management models. The model generated several extreme dry spells that are important for evaluation of effective drought management policies for the basin. The analysis conducted herein has the potential for providing valuable aid in developing efficient flood and drought management strategies for the Brahmaputra basin because of the ability of the model to simulate extreme dry and wet spells. It may be concluded that the utility of flood prediction models in estimating the probability of extreme events may be greatly enhanced if their performance is evaluated based on synthetic sequences generated in the present research.

Keywords:
Brahmaputra weather K-NN model precipitation extreme

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References:

[1]	Bardossy, and A. Plate E.J. (1991). Modelling daily rainfall using a semi-Markov representatation of circular pattern occurrence. J. of Hydrol.122: 33-47.
[2]	Buishand, T.A., Brandsma. T., (2001). Multisite simulation of daily precipitation and temperature in the Rhine Basin by nearest-neighbor resampling. Water Resources Research 37(11), 2761-2776.
[3]	Davis, J., (1986). Statistics and Data Analysis in Geology, John Wiley, Hoboken, N. J.
[4]	Dubrovsky M, Nemesova I, Kalvova J. (2005). Uncertainties in climate change scenarios for the Czech Republic. Clim Res 29: 139-156.
[5]	Gangopadhyay, S, Rajagopalan, B, Clark, M. (2005). Statistical downscaling using K-nearest neighbors, Water Resources Research Volume 41, Issue 2, Article first published online: 18 FEB.
[6]	Hutchinson, M.F. (1995). Stochastic space time weather models from ground based data. Agric. Forest Meteorol., 73: 237-264.
[7]	IPCC. (2014). The Synthesis Report (SYR), constituting the final product of the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC), is published under the title Climate Change.
[8]	Jenkins, G. J. & Derwint, R. G. (1990). Climate consequences of emissions. In Climate Change. The IPCC scientific assessment (ed. by J. T. Houghton, G. J. Jenkins & J. J. Ephraums). WMO, UNEP, Cambridge University Press, UK.
[9]	Jiang, et al. (2007). Comparison of hydrologic impacts of climate change simulated by six hydrologic models in the Dongjiang Basin, South China. J. Hydrol. 336, 316-333.
[10]	Muluye Getnet Y. (2011). Deriving meteorological variables from numerical weather prediction model output: A nearest neighbor approach. Water Resources Research 47:7, n/a-n/a. online publication date: 1-Jul-2011.
[11]	Rabus B, Eineder M, Roth A, Bamler R. (2003). The shuttle radar topography mission-a new class of digital elevation models acquired by spaceborne radar. Journal of Photogrammetry and Remote Sensing 57: 241-262.
[12]	Rajagopalan, B., Lall, and U., (1999). A k-nearest neighbour simulator for daily precipitation and other variables. Water Resources Research 35(10), 3089-3101.
[13]	Semenov, M. A. (2008). Simulation of extreme weather events by a stochastic weather generator, Clim Res, 35: 203-212.
[14]	Sharif M, Burn DH (2007). Improved K-nearest neighbor weather generating model. J Hydrologic Eng., ASCE, 12(1): 42-51.
[15]	Simonovic, S.P., Li, L., (2003). Methodology for Assessment of Climate Change Impacts on Large-Scale Flood Protection System. ASCE Journal of Water Resources Planning and Management 129(5), 361-372.
[16]	Yates et al. (2003). Water Resources Research, VOL. 39, NO. 7, 1199.