Evaluating experimental streamflow forecasts for use in reservoir modeling on the Colorado River basin
| dc.contributor.advisor | Nijssen, Bart | en |
| dc.contributor.author | Lindenmayer, Laura Elizabeth | |
| dc.creator | Lindenmayer, Laura Elizabeth | en |
| dc.date.accessioned | 2018-02-28T22:47:43Z | |
| dc.date.available | 2018-02-28T22:47:43Z | |
| dc.date.issued | 2006 | |
| dc.identifier.uri | http://hdl.handle.net/10150/626935 | |
| dc.description.abstract | The U.S. Bureau of Reclamation uses a 24-month planning and operations model to simulate reservoir operations, energy generation, and water demands on the Colorado River Basin. The Lower Basin's 24-month Study model does not currently make use of weather forecasts, nor does it use information about future climate. To aid in -better management of scarce water resources, especially during periods of drought, we have demonstrated a methodology for incorporating seasonal forecasts and climate information in the inflow time series for the 24-month Study model. The method uses a hydrology model forced with different sets of meteorological data. The streamflow scenarios output from the hydrology model are then used as input to the 24-month Study. The important outputs of the 24-month Study model are Lake Mead inflows and elevations. The methodology presented by this research makes it possible to incorporate outside information into the water resources decision-making process. | |
| dc.language.iso | en_US | en |
| dc.publisher | The University of Arizona. | en |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en |
| dc.title | Evaluating experimental streamflow forecasts for use in reservoir modeling on the Colorado River basin | en_US |
| dc.type | text | en |
| dc.type | Thesis-Reproduction (electronic) | en |
| thesis.degree.grantor | University of Arizona | en |
| thesis.degree.level | masters | en |
| dc.contributor.committeemember | Nijssen, Bart | en |
| dc.contributor.committeemember | Troch, Peter | en |
| thesis.degree.discipline | Graduate College | en |
| thesis.degree.discipline | Hydrology and Water Resources | en |
| thesis.degree.name | M.S. | en |
| dc.description.note | Digitized from paper copies provided by the Department of Hydrology & Atmospheric Sciences. | en |
| refterms.dateFOA | 2018-09-13T20:25:07Z | |
| html.description.abstract | The U.S. Bureau of Reclamation uses a 24-month planning and operations model to simulate reservoir operations, energy generation, and water demands on the Colorado River Basin. The Lower Basin's 24-month Study model does not currently make use of weather forecasts, nor does it use information about future climate. To aid in -better management of scarce water resources, especially during periods of drought, we have demonstrated a methodology for incorporating seasonal forecasts and climate information in the inflow time series for the 24-month Study model. The method uses a hydrology model forced with different sets of meteorological data. The streamflow scenarios output from the hydrology model are then used as input to the 24-month Study. The important outputs of the 24-month Study model are Lake Mead inflows and elevations. The methodology presented by this research makes it possible to incorporate outside information into the water resources decision-making process. |
