Interpolation of precipitation under topographic influence at different time scales

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Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, background): “Geostatisticians treat daily 530 precipitation as a censored variable (Bárdossy and Pegram, 2013), or cluster values e.”
Upper tail dependence in rainfall extremes: would we know it if we saw it? (2015, methodology): “1999) and Capéraà–Fougères– Genest k U estimator (Capéraà et al. 1997). Poulin et al. (2007) also stressed the caveats previously reported by Schmidt (2003) and Frahm et al. (2005). Serinaldi (2008) exploited the relationship between kU and Kendall correlation coefficient sK to build a diagnostic pl”