Statistical downscaling using K‐nearest neighbors

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A comparison of three methods for downscaling daily precipitation in the Punjab region (2011, methodology): “These K days are then weighted using a bisquare weight function and randomly sampled to generate hydrological projections (Gangopadhyay et al., 2005).”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “Gangopadhyay et al. (2005), for example, developed the K-nearest neighbour approach of Lall and Sharma (1996) to downscale the NCEP 1998 medium-range forecast output.”
Verification tools for probabilistic forecasts of continuous hydrological variables (2006, unknown): “In contrast, the usual choice when evaluating probabilistic predictions of hydrologic variables has been to adopt veriﬁcation tools bor-Correspondence to: F. Laio (francesco.laio@polito.it) rowed from the meteorological literature (e.g., Georgakakos et al., 2004; Gangopadhyay et al., 2005).”