2005
DOI: 10.1029/2004jd005677
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Abstract: [1] A K-nearest-neighbor (KNN)-based nonparametric nonhomogenous hidden Markov model is developed and applied for spatial downscaling of multistation daily rainfall occurrences using four atmospheric circulations variables (mean sea level pressure (MSLP), east-west gradient of MSLP, north-south gradient of geopotential height at 700 hPa, and total precipitable water content) over a network of 30 rain gauge stations near Sydney, Australia. The proposed model generates rainfall occurrence conditional to a conti…

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