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MODELING STREAM FLOW EXTREMES UNDER NON-TIME- STATIONARY CONDITIONS

Summary. This paper provides information on extreme value modeling of stream flow extremes from three rivers in the New York City Metropolitan Area using generalized extreme value distribution (GEV). GEV parameters including location, scale, and shape are analyzed to get an appropriate minimum window size for stationary conditions, and then the time series analysis of GEV parameters are performed by using this window size.