A semiparametric multivariate and multisite weather generator

133 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Coupled stochastic weather generation using spatial and generalized linear models (2015, methodology): “2003; Apipattanavis et al. 2007; Buishand and Brandsma 2001; Beersma and Buishand 2003; Sharif and Burn 2007). Recently, Caraway et al. (2014) modified this approach for”
Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount (2019, unknown): “, Apipattanavis et al., 2007), have been considered as possible candidates. As suggested in Vrac, Stein, and Hayhoe (2007) and Wilks (2011), gamma and mixed exponential are typically the preferred choices, but as pointed out by Katz, Parlange, and Naveau (2002), the tail of a gamma distribution can ”
Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes (2012, background): “…models for occurrence [Hughes and Guttorp, 1999] and intensity [Ailliot et al., 2009; Charles et al., 1999], resampling based on nearest neighbors [Apipattanavis et al., 2007; Buishand and Brandsma, 2001; Rajagopalan and Lall, 1999], generalized chain-dependent processes [Zheng and Katz, 2008;…”
Multisite multivariate modeling of daily precipitation and temperature in the Canadian Prairie Provinces using generalized linear models (2016, background): “Several approaches have been developed for simultaneous multisite multivariate generation of climate variables (Apipattanavis et al. 2007; Steinschneider and Brown 2013).”