H43H:
Forecasting Hydrology at Continental Scale II Posters

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Session ID#: 13672

Session Description:
Advances in computing power, data services and development of continental scale geofabrics of terrain, hydrography, and the subsurface are transforming hydrologic forecasting by enabling modelling of the continuum of water flow from the atmospheres to the ocean. The National Water Center within NOAA has implemented a new National Water Model (NWM) for the U.S. with the goal of producing real-time analyses and predictions of terrestrial hydrologic conditions.  Version 1 of the NWM ingests meteorological forcing data from operational radar and operational weather prediction models to generate analyses and forecasts of gridded terrestrial hydrologic variables and river channel variables for 2.7 million river reaches.  Papers are solicited that examine forecasting skill of continental scale hydrologic models used in flood and water resources forecasting and drought management.  Examples applications of the NWM are encouraged to explore the interaction between research and operations as the NWM becomes operational in summer 2016.
Primary Convener:  David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States
Conveners:  Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, Brian A. Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States and David R Maidment, CRWR, Austin, United States
Chairs:  Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, Brian A. Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States and David R Maidment, CRWR, Austin, United States
OSPA Liaison:  Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1860 Streamflow [HYDROLOGY]

Abstracts Submitted to this Session:

First Applications of the New Parallel Krylov Solver for MODFLOW on a National and Global Scale (117773)
Jarno Verkaik, Deltares, Delft, Netherlands, Joseph Davis Hughes, USGS Office of Groundwater, Reston, VA, United States, Edwin Sutanudjaja, Utrecht University, Department of Physcial Geography, Utrecht, Netherlands and Paul van Walsum, Alterra Wageningen UR, Wageningen, Netherlands
Quantifying Uncertainty in Flood Inundation Mapping Using Streamflow Ensembles and Multiple Hydraulic Modeling Techniques (127251)
Hossein Hosseiny1, Christopher Zarzar2, Michael Gomez3, Ridwan Siddique4, Virginia Smith1, Alfonso Mejia5 and Ibrahim Demir6, (1)Villanova University, Civil Engineering, Villanova, PA, United States, (2)Wake Forest University, Sabin Center for Environmental and Sustainability, Winston-Salem, United States, (3)Pennsylvania State University Main Campus, Civil Engineering, University Park, PA, United States, (4)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (5)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (6)Tulane University, New Orleans, United States
Introducing Hillslope Flow Processes in the Community Land Model (131133)
Justin Perket1, Martyn P Clark2, Ying Fan3, David M Lawrence4 and Sean C Swenson4, (1)Rutgers University New Brunswick, New Brunswick, NJ, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)Rutgers University New Brunswick, New Brunswick, United States, (4)NSF National Center for Atmospheric Research, Boulder, United States
Enhancing the NOAA National Water Center WRF-Hydro model architecture to improve representation of the Midwest and Southwest CONUS climate regions (135329)
Timothy M Lahmers1, Christopher L Castro1, Hoshin Vijai Gupta2, David Gochis3, Aubrey L Dugger4 and Michael B Smith5, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)NOAA/NWS Office of Water Prediction, National Water Center, Silver Spring, United States
Assessment of A Mesoscale Numerical Weather Prediction Model Parameterization for Flood Forecasting in the Indian Subcontinent (140806)
Md. Safat Sikder, Kansas State University, Geography and Geospatial Sciences, Manhattan, United States and Faisal Hossain, University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, United States
Iowa Flood Center Model Performance Evaluation (149432)
Felipe Quintero1, Witold F Krajewski2, Ricardo Mantilla1 and Dr. Bong Chul Seo, Ph.D.3, (1)University of Iowa, Iowa City, IA, United States, (2)University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, United States, (3)University of Iowa, Iowa City, United States
A Sensor Driven Probabilistic Method for Enabling Hyper Resolution Flood Simulations (164396)
Kevin Fries, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Fernando Renzo Salas, NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States and Branko Kerkez, University of Michigan, Civil and Environmental Engineering, Ann Arbor, MI, United States
Comparison of physical and semi-empirical hydraulic models for flood inundation mapping (168604)
Shahab Afshari1, Ehsan Omranian2, Dongmei Feng3, Adnan Rajib4, Ahmad A Tavakoly5, Alan D Snow6, Sagy Cohen7, Venkatesh Merwade8, Balazs M Fekete9, Hatim Osman Sharif2 and Edward Beighley10, (1)CUNY City College of New York, Civil and Environmental Engineering, New York, NY, United States, (2)University of Texas at San Antonio, Department of Civil and Environmental Engineering, San Antonio, TX, United States, (3)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (4)University of Texas at Arlington, H2I Lab, Department of Civil Engineering, Arlington, TX, United States, (5)Engineer Research and Development Center Vicksburg, Coastal and Hydraulic Laboratory, River Engineering Branch, Vicksburg, United States, (6)Engineer Research and Development Center Vicksburg, Coastal and Hydrualic Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States, (7)University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (8)Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, IN, United States, (9)CUNY City College of New York, New York, NY, United States, (10)Northeastern University, Civil and Environmental Engineering, Boston, United States
Performance of multiple hydrologic models under climate change in the Yongdam Catchment, South Korea (169775)
Dong Kwan Park1, Getachew Tegegne Damtew2, Youngil Kim1 and Young-Oh Kim1, (1)Seoul National University, Civil and Environmental Engineering, Seoul, Korea, Republic of (South), (2)Seoul National University, Seoul, Korea, Republic of (South)
NOAA’s National Water Model – Integration of National Water Model with Geospatial Data creating Water Intelligence (191247)
Edward P Clark, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, Brian A. Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States and Fernando Renzo Salas, NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States
Analysis of Extreme Hydrologic Events in the NOAA National Water Model (198771)
David J Gochis1, Brian A. Cosgrove2, James L McCreight1, Aubrey L Dugger3, Wei Yu4, David N Yates5, Logan Ray Karsten1, Arezoo Rafieeinasab6, Kevin Michael Sampson1, Linlin Pan1 and Yuqiong Liu7, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Weather Service Silver Spring, Silver Spring, MD, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)Weather Tech Services, LLC, Boulder, CO, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (6)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (7)NOAA Washington DC, Washington, DC, United States
Retrospective Snow Analysis Across the Continental United States for the National Water Model (196366)
Logan Ray Karsten1, David Gochis1, Aubrey L Dugger2, James L McCreight1, Michael J Barlage3, Greg M Fall4 and Carrie Olheiser4, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)NCAR/RAL, Boulder, United States, (4)NOAA/NWS/OWP, Chanhassen, MN, United States
Hydrographic and terrestrial datasets to support continental-scale hydrologic modeling in Version 1 of the National Water Model (185470)
Kevin Michael Sampson1, David J Gochis1 and David N Yates2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
Evaluation of streamflow forecast for the National Water Model of U.S. National Weather Service (197779)
Arezoo Rafieeinasab1, James L McCreight2, Aubrey L Dugger3, David Gochis2, David Gochis2, Logan Ray Karsten2, Yongxin Zhang4, Brian A. Cosgrove5 and Yuqiong Liu6, (1)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (5)National Weather Service Silver Spring, Silver Spring, MD, United States, (6)NOAA Washington DC, Washington, DC, United States
A Flood Forecasting Scheme for Large Rivers with Requisite Simplicity (185906)
Wahid Palash1, Ali S Akanda2, Yudan Jiang1, David L Small1, Amin Nozari1 and Shafiqul Islam3, (1)Tufts University, Medford, MA, United States, (2)University of Rhode Island, Civil and Environmental Engineering, Narragansett, RI, United States, (3)Tufts Univ Civil & Environ Eng, Medford, MA, United States
Comparison of Flood Inundation Mapping Techniques between Different Modeling Approaches and Satellite Imagery (187141)
Jiaqi Zhang1, Dinuke Munasinghe2, Yu-Fen Huang3, Peirong Lin4, Nick Z. Fang1, Sagy Cohen5 and Yinphan Tsang3, (1)University of Texas at Arlington, Civil Engineering, Arlington, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)University of Hawaiʻi at Mānoa, Natural Resources and Environmental Management, Honolulu, United States, (4)University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States, (5)University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States
Effect of Atmospheric Forcing Data on the Large-Scale Streamflow Simulations (190370)
Ahmad A Tavakoly1, Graham P Weedon2, Alan D Snow1, Jeanne M Roningen3, John B Eylander4, Richard Gilham2 and Martin Best5, (1)US Army Corps of Engineers, Jacksonville, FL, United States, (2)Met Office, Wallingford, United Kingdom, (3)USACE-ERDC Information Technology Laboratory, Vicksburg, MS, United States, (4)USACE/ERDC/CRREL, Hanover, United States, (5)Met Office, Exeter, United Kingdom
Densified Stream Measurement Network Modeling at Continental and Local Scales (197964)
James Matthew Coll, NOAA Affiliate, Lynker, Tuscaloosa, United States, J Michael Johnson, Lynker, Boulder, United States and P J Ruess, University of Texas at Austin, Austin, United States

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