Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature

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Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition (2012, background): “Researchers have focused then on the development of time series models that mimic these nonstationary or quasiperiodic variations [Sveinsson et al., 2003; Ahn and Kim, 2005; Kwon et al., 2007].”
Comparison of methods for non-stationary hydrologic frequency analysis: Case study using annual maximum daily precipitation in Taiwan (2017, methodology): “In the application of wavelet analysis to hydrology, Kwon et al. (2007) integrated autoregressive models with wavelet analysis in the analysis of precipitation.”
A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression (2013, background): “Integration of models such as the wavelet autoregressive models presented in Kwon et al. (2007) would be of interest in this regard.”