An experiment on reservoir representation schemes to improve hydrologic prediction: coupling the national water model with the HEC-ResSim |
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| Authors: | Jungho Kim Laura Read Lynn E Johnson David Gochis Rob Cifelli Heechan Han |
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| Institution: | 1. Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University , Fort Collins, Colorado, USA;2. Physical Sciences Division, NOAA Earth System Research Laboratory , Boulder, Colorado, USA jungho.kim@noaa.gov jungho.kim@colostate.edu https://orcid.org/0000-0001-5596-1974;4. Research Applications Laboratory, Hydrometeorological Applications Program, National Center for Atmospheric Research , Boulder, Colorado, USA;5. Physical Sciences Division, NOAA Earth System Research Laboratory , Boulder, Colorado, USA;6. Department of Civil and Environmental Engineering, Colorado State University , Fort Collins, Colorado, USA |
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| Abstract: | ABSTRACT This study experiments with reservoir representation schemes to improve the ability to model active water management in the National Water Model (NWM). For this purpose, we developed an integrated water management model, NWM-ResSim, by coupling the NWM with HEC-ResSim, and two reservoir representation schemes are tested: simulation of reservoir operations and retrieval of scheduled operations. The experiments focus on a pilot reservoir domain in the Russian River basin – Lake Mendocino, California – and its contributing watershed. The evaluation results suggest that the NWM-ResSim improves the simulation performance of reservoir outflow from this managed reservoir over the NWM default level pool routing scheme. The degree of this improvement depends on the suitability of the operation guidance; the reservoir operations simulation scheme could have acceptable errors for the purposes of water resources management, but not for flood operations. Results of the retrieval scheme of scheduled operations demonstrated better performance for sub-daily flood operations. |
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| Keywords: | reservoir representation scheme hydrologic prediction system integrated water management modeling national water model reservoir operation simulation model |
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![ORCID Icon]({"type":"image","src":"/templates/jsp/images/orcid.png"} "ORCID Icon")
https://orcid.org/0000-0001-5596-1974;4. Research Applications Laboratory, Hydrometeorological Applications Program, National Center for Atmospheric Research , Boulder, Colorado, USA;5. Physical Sciences Division, NOAA Earth System Research Laboratory , Boulder, Colorado, USA;6. Department of Civil and Environmental Engineering, Colorado State University , Fort Collins, Colorado, USA