Browsing by Author "Li, Chao"
Now showing items 1-7 of 7
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Li, Chao; Singh, Vijay P.; Mishra, Ashok K. (American Geophysical Union, 2013-02)This paper presents an improved bivariate mixed distribution, which is capable of modeling the dependence of daily rainfall from two distinct sources (e.g., rainfall from two stations, two consecutive days, or two instruments ...
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Li, Chao; Singh, Vijay P.; Mishra, Ashok K. (American Geophysical Union, 2012)Hydrometric information constitutes the fundamental input for planning, design, operation, and management of water resources systems. How to optimally site monitoring gauges such that they are effective and efficient in ...
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Li, Chao; Singh, Vijay P.; Mishra, Ashok K. (American Geophysical Union, 2013)River flow synthesizing and downscaling are required for the analysis of risks associated with water resources management plans and for regional impact studies of climate change. This paper presents a probabilistic model ...
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Li, Chao; Singh, Vijay P. (American Geophysical Union, 2014)This paper presents a multimodel regression-sampling algorithm (MRS) for monthly streamflow simulation. MRS is motivated from the acknowledgment that typical nonparametric models tend to simulate sequences exhibiting too ...
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Li, Chao; Mishra, Ashok K.; Singh, Vijay P. (American Geophysical Union, 2012-03-21)Underestimation of extreme values is a widely acknowledged issue in daily precipitation simulation. Nonparametric precipitation generators have inherent limitations in representing extremes. Parametric generators can ...
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Li, Chao; Singh, Vijay P.; Mishra, Ashok K. (American Geophysical Union, 2012)Underestimation of extreme values is a widely acknowledged issue in daily precipitation simulation. Nonparametric precipitation generators have inherent limitations in representing extremes. Parametric generators can ...
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Li, Chao (2013-04-30)One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme ...