Browsing by Author "Mishra, Ashok K."
Now showing items 1-8 of 8
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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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Khedun, C. Prakash; Mishra, Ashok K.; Singh, Vijay P.; Giardino, John R. (2014-01-14)The influence of two large-scale circulation patterns (the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO)), and the effect of the interdecadal modulation of ENSO on precipitation in the state ...
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Khedun, C. Prakash; Mishra, Ashok K.; Singh, Vijay P.; Giardino, John R. (American Geophysical Union, 2014-01)The influence of two large-scale circulation patterns (the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO)), and the effect of the interdecadal modulation of ENSO on precipitation in the state ...
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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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Mishra, Ashok K.; Ozger, Mehmet; Singh, Vijay P. (American Meterological Society, 2012-02)Drought forecasting is important for drought risk management. Considering the El Niño–Southern Oscillation (ENSO) variability and persistence in drought characteristics, this study developed a wavelet and fuzzy logic (WFL) ...
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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; 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 ...