Preserving long term Variability in Simulation of Multisite Streamflow Extremes.

The prediction and simulation of streamflow extremes across a river basin has significant implications for water management strategies. In particular, the clustering and correlation of wet and dry extremes in space poses portfolio risks to agriculture, insurance, disaster response, and utility sectors. The proposed method uses dimensionally reduced components of the multi-site streamflow field, wavelet analysis and Hidden Markov Models to identify key modes of variability.