Stochastic Scenarios for 21st Century Rainfall Seasonality, Daily Frequency, and Intensity in South Florida
We demonstrate that a nonhomogeneous hidden Markov model (NHMM) can be useful for simulating future daily rainfall at 19 stations in South Florida. Using upper atmosphere circulation variables that are typically better represented than precipitation in general circulation models (GCMs), a NHMM conditioned on GCM circulation variables is shown to provide credible stochastic simulations of daily precipitation for future conditions. Seasonality changes as well as changes in seasonal extreme precipitation quantiles, total seasonal rainfall, and number of wet days are assessed.