K
Konstantine P. Georgakakos
Researcher at Hydrologic Research Center
Publications - 148
Citations - 5843
Konstantine P. Georgakakos is an academic researcher from Hydrologic Research Center. The author has contributed to research in topics: Precipitation & Streamflow. The author has an hindex of 41, co-authored 145 publications receiving 5527 citations. Previous affiliations of Konstantine P. Georgakakos include Scripps Institution of Oceanography & University of California, San Diego.
Papers
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Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
TL;DR: Using the simulations produced for the Distributed Model Intercomparison Project (DMIP), this paper develops and applies sample-path methods to characterize streamflow simulation uncertainty by diverse distributed hydrologic models and supports the serious consideration of ensemble simulations and predictions created by diverse models in real time flow prediction.
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Chaos in rainfall
Ignacio Rodriguez-Iturbe,Beatriz Febres De Power,Mohammad B. Sharifi,Konstantine P. Georgakakos +3 more
TL;DR: In this article, the authors investigated chaotic dynamics in the temporal rainfall of storm events and found that the trajectories of these systems in the phase space are characterized by being contained in a strange attractor of fractal dimension.
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National threshold runoff estimation utilizing GIS in support of operational flash flood warning systems
Theresa M. Carpenter,Jason A. Sperfslage,Konstantine P. Georgakakos,Konstantine P. Georgakakos,T. Sweeney,D.L. Fread +5 more
TL;DR: In this paper, the authors used Geographic Information Systems (GIS) and digital terrain elevation databases to develop a national system for determining threshold runoff, which is the amount of excess rainfall accumulated during a given time period over a basin that is just enough to cause flooding at the outlet of the draining stream.
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A Monte Carlo Study of rainfall sampling effect on a distributed catchment model
TL;DR: In this article, a Monte Carlo study of a physically based distributed-parameter hydrologic model is described, and the sensitivity of the model response with respect to rainfall-input spatial and temporal sampling density is investigated.
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Analytical results for operational flash flood guidance
TL;DR: In this paper, the theoretical basis of developing operational flash flood guidance systems using analytical methods is studied using the Sacramento soil moisture accounting model, which is used operationally in the United States to produce flash flood estimates of a given duration from threshold runoff estimates.