Simulation of 6-hourly rainfall and temperature by two resampling schemes

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Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach (2006, methodology): “For similar reasons, Yates et al. [36] and Wójcik and Buishand [34] used modified representation of the distance measure in (3) by adopting the Mahalanobis distance, as an alternative to the Euclidean distance based on the inverse of the predictor covariance matrix.”
Stochastic generation of multi-site daily precipitation focusing on extreme events (2018, methodology): “The 3-day simulated amounts are then disaggregated using an adaptation of the method of fragments (Wójcik and Buishand, 2003).”
Simulation of rainfall time series from different climatic regions using the direct sampling technique (2014, background): “The verbatim copy box-plots show the distribution of the time-series pieces exactly copied from the TI as a function of their size for the ensemble of the realizations: the20 number of patches decreases exponentially with their size.”