H34G:
Research, Development, and Evaluation of the National Water Model and Facilitation of Community Involvement II


Submit an Abstract to this Session


Session ID#: 62497

Session Description:
The NOAA National Weather Service, Office of Water Prediction, is leading development of the National Water Model (NWM). The NWM represents transformative cyberinfrastructure by providing a platform for community hydrologic model development. At its ultimate build-out, the NWM will include operational capabilities for forecasting the full suite of water budget variables at a continental scale, providing insight into floods, droughts, water quality and water supply. The development of the NWM provides natural collaborative opportunities for federal agencies involved in water prediction and the research and academic communities in both hydrologic and atmospheric sciences. Continental-scale hydrologic prediction represents a new frontier at the nexus of atmospheric and hydrologic modeling, with important connections to remote sensing, data assimilation, anthropogenic effects, big data, decision support, calibration and parameter estimation, machine learning, model testing and evaluation. This session seeks presentations or posters on any of these topics, facilitation of collaborations and enhancing community involvement.
Primary Convener:  Jerad Bales, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, DC, United States
Convener:  Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States
Primary Liaison:  Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States
Chairs:  Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States and Jerad Bales, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, DC, United States
OSPA Liaison:  Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States

Cross-Listed:
  • A - Atmospheric Sciences
Index Terms:

1803 Anthropogenic effects [HYDROLOGY]
1805 Computational hydrology [HYDROLOGY]
1902 Community modeling frameworks [INFORMATICS]
3355 Regional modeling [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Approaches for effective calibration of the National Water Model to improve subsurface process simulation (435564)
Joseph Davis Hughes, USGS Office of Groundwater, Reston, VA, United States, Ward E Sanford, United States Geological Survey, Reston, Virginia, United States and Wesley Zell, USGS, Integrated Modeling and Prediction Division, Reston, United States
Building an Open Source Community Around the National Water Model (Invited) (408253)
Kyle T Mandli, Columbia University, Applied Physics and Applied Mathematics, New York, United States
National Water Model Assessment for Reclamation’s Water Management Needs (460609)
Kenneth Nowak, Bureau of Reclamation Denver, Research and Development, Denver, CO, United States, Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States, Mimi Abel, NOAA Physical Sciences Laboratory, Boulder, United States, Francesca Viterbo, NOAA/ESRL/PSD, Boulder, CO, United States, Andrea Thorstensen, NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States, Lynn Johnson, Cooperative Institute for Research in the Atmosphere and NOAA ESRL, Physical Sciences Division, Fort Collins, CO, United States, David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States and Katharine Dahm, Bureau of Reclamation, Denver, United States
Disseminating CONUS National Water Model Simulation Data at Watershed Scales to Engage a Broad Community of Water Scientists (452084)
Anthony M Castronova, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, Danielle Tijerina, CUAHSI, Boston, MA, United States, Aubrey L Dugger, NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Arezoo Rafieeinasab, University Corporation for Atmospheric Research, Boulder, United States, Joe Mills, National Center for Atmospheric Research, Boulder, CO, United States and David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
National Water Model Community Collaboration and Engagement: A Software Development Approach (451679)
Nels J Frazier, Lynker, Boulder, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, Zachary Wills, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, United States, David L Blodgett, USGS, Baltimore, MD, United States, Joseph Davis Hughes, U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States, Joe Mills, National Center for Atmospheric Research, Boulder, CO, United States, Katelyn FitzGerald, National Center for Atmospheric Research, Boulder, United States and James L McCreight, University Corporation for Atmospheric Research, Boulder, United States
The National Water Model and R: Providing fast discovery, access, and usability of NWM output and earth systems data (387032)
J Michael Johnson, Lynker, Boulder, United States and Keith C Clarke, University of California Santa Barbara, Santa Barbara, CA, United States
Evaluation of the Noah-MP Infiltration Module Reveals Opportunities for Community Involvement in Improvements with Benefits for the National Water Model (455922)
Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Assessment and Enhancement of National Water Model Height above Nearest Drainage Flood Inundation Mapping Using Planet CubeSat for the 2017 Bear River Flood Event (412406)
Irene Garousi Nejad, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Arlington, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, Mahyar Aboutalebi, Utah State University, Department of Civil and Environmental Engineering, Logan, UT, United States and Alfonso F Torres-Rua, Utah Water Research Lab, Utah State University, Department of Civil and Environmental Engineering, Logan, United States

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