Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1189-2019
https://doi.org/10.5194/gmd-12-1189-2019
Model description paper
 | 
28 Mar 2019
Model description paper |  | 28 Mar 2019

Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Taesam Lee and Vijay P. Singh

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Cited articles

Apipattanavis, S., Podesta, G., Rajagopalan, B., and Katz, R. W.: A semiparametric multivariate and multisite weather generator, Water Resour. Res., 43, W11401, https://doi.org/10.1029/2006WR005714, 2007. 
Beersma, J. J. and Buishand, A. T.: Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation, Clim. Res., 25, 121–133, 2003. 
Brandsma, T. and Buishand, T. A.: Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling, Hydrol. Earth Syst. Sci., 2, 195–209, https://doi.org/10.5194/hess-2-195-1998, 1998. 
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Chau, K. W.: Use of meta-heuristic techniques in rainfall-runoffmodelling, Water (Switzerland), 9, 186, https://doi.org/10.3390/w9030186, 2017. 
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Short summary
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The proposed technique employs the nonparametric approaches k-nearest neighbor and genetic algorithms. We tested this technique in various ways and proved that this simple technique can be useful and comparable to the existing one.