This paper describes a new weather generator – the 10-state empirical model – that combines a 10-state. first-order Markov chain with a non-parametric precipitation amounts model. Using a doubly-stochastic transition-matrix results in a weather generator for which the overall precipitation distribution (including both wet and dry days) and the temporal-correlation can be modified inde... https://www.chiggate.com/