E
Edith Zagona
Researcher at University of Colorado Boulder
Publications - 48
Citations - 2000
Edith Zagona is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Hydropower & Streamflow. The author has an hindex of 21, co-authored 42 publications receiving 1673 citations. Previous affiliations of Edith Zagona include Humboldt State University & United States Bureau of Reclamation.
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Riverware: a Generalized Tool for Complex Reservoir System MODELING1
TL;DR: RiverWare(tm), a new generalized river basin modeling tool, provides a construction kit for developing and running detailed, site‐specific models without the need to develop or maintain the supporting software within the water management agency.
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The future of water resources systems analysis: Toward a scientific framework for sustainable water management
Casey Brown,Jay R. Lund,Ximing Cai,Patrick M. Reed,Edith Zagona,Avi Ostfeld,Jim W. Hall,Gregory W. Characklis,Winston Yu,Levi D. Brekke +9 more
TL;DR: Water resource systems analysis as discussed by the authors has been widely used in the field of water resources systems analysis. But it is limited by low scientific and academic visibility relative to its influence in practice and bridled by localized findings that are difficult to generalize.
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A technique for incorporating large‐scale climate information in basin‐scale ensemble streamflow forecasts
TL;DR: In this article, the authors developed a seasonal forecasting model to aid water resources decision-making in the Truckee-Carson River System, using local regression methods to provide ensemble (probabilistic) forecasts.
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Cooperative filling approaches for the Grand Ethiopian Renaissance Dam
Kevin Wheeler,Mohammed Basheer,Zelalem T. Mekonnen,Sami O. Eltoum,Azeb Mersha,Gamal M. Abdo,Edith Zagona,Jim W. Hall,Simon Dadson +8 more
TL;DR: In this article, a river basin planning model with a wide range of historical hydrological conditions and increasing coordination between the co-riparian countries was used to analyze the implications of filling the Grand Ethiopian Renaissance Dam and its implications for downstream water resources.
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Modified K-NN Model for Stochastic Streamflow Simulation
TL;DR: The modified K-NN approach is found to exhibit better performance in terms of capturing the features present in the data and is compared to both a parametric periodic autoregressive and a nonparametric index sequential method for streamflow generation, each widely used in practice.