H41P:
Research, Development, and Evaluation of the National Water Model and Facilitation of Community Involvement III Posters


Submit an Abstract to this Session


Session ID#: 49453

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:  Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Conveners:  Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, Joseph Davis Hughes, U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States and Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, 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 Joseph Davis Hughes, U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States
OSPA Liaison:  Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, 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:

Evaluating Precipitation Impact on the National Water Model Soil Moisture (356582)
Nai-Yu Wang, University of Maryland College Park, College Park, MD, United States, Xiwu Zhan, NOAA/NESDIS/STAR, College Park, MD, United States, Jifu Yin, NOAA College Park, NESDIS-STAR/University of Maryland CICS, College Park, MD, United States, Jicheng Liu, NOAA College Park, College Park, MD, United States, Tomislava Vukicevic, Faculty of Physics, University of Belgrade, Belgrade, Serbia and Ralph R Ferraro, NOAA/NESDIS, College Park, United States
Development of Hydrological Assessment Model (HAM) Based on A Hybrid Machine Learning Approach (368982)
Heechan Han, Colorado State University Fort Collins, Fort Collins, CO, United States, Jorge A Ramirez, Colorado State Univ, Fort Collins, CO, United States, Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States
Representing Anthropogenic Processes in the National Water Model: A Machine Learning Approach to Reservoir Operations (373741)
Mehdi Rezaeianzadeh, NOAA Affiliate, Lynker, NOAA/NWS Office of Water Prediction, Tuscaloosa, AL, United States, Nels Frazier, NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, David Mattern, NOAA Affiliate, Lynker Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States and Graeme R Aggett, Lynker, Boulder, United States
Conceptual Operation Schemes to Enhance the Representation of Reservoirs in the NOAA National Water Model (382487)
Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Laura Read, National Center for Atmospheric Research, Boulder, CO, United States, Lynn Johnson, Cooperative Institute for Research in the Atmosphere and NOAA ESRL, Physical Sciences Division, Fort Collins, CO, United States, Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States and V. Chandrasekar, Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, United States
Baseflow Estimation in the National Water Model, Part II: Alternative Non-Linear Reservoir Functions for Improving Hydrograph Forecasts (383077)
Joseph M Krienert, Southern Illinois University Carbondale, Environmental Resources and Policy, Carbondale, IL, United States, Minki Hong, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States, Ritesh Karki, University of Maryland, Maryland Agricultural Experiment Station (MAES), College of Agriculture and Natural Resources, College Park, United States, Sama S Memari, Remote Sensing Center, University of Alabama, Tuscaloosa, AL, United States, Joseph Davis Hughes, U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States, Paul Martin Barlow, USGS, Northborough, MA, United States and David R Steward, Kansas State University, Manhattan, KS, United States
Baseflow Estimation in the National Water Model, Part I: Evaluating the National Water Model’s baseflow and deep percolation estimation in the Northern High Plains (385221)
Ritesh Karki, University of Maryland, Maryland Agricultural Experiment Station (MAES), College of Agriculture and Natural Resources, College Park, United States, Minki Hong, Texas A&M AgriLife Research Center, Agricultural and Water Resources Engineering, El Paso, TX, United States, Joseph M Krienert, Southern Illinois University Carbondale, Environmental Resources and Policy, Carbondale, IL, United States, Sama S Memari, Remote Sensing Center, University of Alabama, Tuscaloosa, AL, United States, Joseph Davis Hughes, U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States and David R Steward, Kansas State University, Manhattan, KS, United States
Validation of WRF-Hydro simulated soil moisture at the watershed scale (387194)
Chen Zhao, Ohio State University Main Campus, Columbus, OH, United States and Steven M Quiring, Ohio State University, Columbus, United States
Interfacing National Water Model Physics with Abstract Software Modules (396960)
Donald W Johnson, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Nels Frazier, University of Wyoming, Laramie, WY, United States, Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States and James L McCreight, University Corporation for Atmospheric Research, Boulder, United States
Enhanced National Water Model predictions based on ensemble data assimilation and high performance computing (407306)
Mahkameh Zarekarizi, Portland State University, Portland, OR, United States and Hamid Moradkhani, The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, AL, United States
Deriving and Visualizing Hydrologic Intelligence in Real-Time using NOAA’s National Water Model (409400)
Monica Stone1,2, Fernando Renzo Salas1,3, Bradford Bates2,4, Shawn Crawley5,6, Graeme R Aggett7 and Mark Glaudemans8, (1)NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States, (2)Lynker Technologies, Tuscaloosa, AL, United States, (3)UCAR, Tuscaloosa, AL, United States, (4)NOAA, Tuscaloosa, AL, United States, (5)NOAA Affiliate, Lynker, Leesburg, VA, United States, (6)Aquaveo, Tuscaloosa, AL, United States, (7)Lynker Technologies, Leesburg, VA, United States, (8)NOAA/NWS Office of Water Prediction, Geo-Intelligence Division, Silver Spring, MD, United States
Comparison of Noah-MP and VIC long-term drought predictions over the Western U.S. (416462)
Ming Gao, University of California Los Angeles, Los Angeles, CA, United States, Qian Cao, Center for Western Weather and Water Extremes, San Diego, CA, United States, Mu Xiao, Arizona State University, Tempe, AZ, United States, Dennis P Lettenmaier, UCLA, Department of Geography, Los Angeles, United States and Fei Chen, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
Application for the Routine Evaluation of Operational Hydrologic Forecasts (417503)
Alexander Maestre1, Ross Wolford2, Hank Herr3, Juzer Fakhruddin Dhondia1 and Tomislava Vukicevic4, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (3)NOAA/NWS/OWP, Silver Spring, United States, (4)NOAA/NWS/OWP, Tuscaloosa, AL, United States
Application of the NWM Nowcasting for Drought Monitoring (419619)
Kent Sparrow, UCAR/NOAA/NWC, Tusclaoosa, AL, United States and Fernando Renzo Salas, NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States
Evaluating the need for two-way groundwater-surface water exchange mechanisms in the National Water Model over the Northern High Plains Aquifer, USA (425462)
Holly Hutcheson1, Matthew B. Thomas1, Elizabeth Rae Jachens2, Joseph Davis Hughes3 and David R Steward4, (1)University of Georgia, Geology, Athens, GA, United States, (2)Oregon State University, Corvallis, OR, United States, (3)U.S. Geological Survey, Integrated Modeling and Prediction Division, Chicago, United States, (4)Kansas State University, Manhattan, KS, United States
The Australian Water Resource Assessment (AWRA) Modelling System (435241)
Andrew James Frost1, Wendy Katherine Sharples1, Chantal Donnelly2, Amgad Elmahdi1 and Robert Argent1, (1)Bureau of Meteorology, Melbourne, Australia, (2)Bureau of Meteorology, Brisbane, Australia
Development of Prototype National Water Model Soil Moisture Products for Drought Monitoring (454505)
Mimi Abel1, Darren L Jackson1, Robert J Zamora2, Robert Cifelli3, Mike Hobbins4, Fernando Renzo Salas5, Kent Sparrow6, Robert Stabler Webb7, David DeWitt8 and Peter Colohan9, (1)University of Colorado at Boulder, Boulder, CO, United States, (2)NOAA/OAR R/PSD2, Boulder, CO, United States, (3)NOAA Physical Sciences Laboratory, Boulder, CO, United States, (4)National Integrated Drought Information System, Boulder, United States, (5)NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (6)UCAR/NOAA/NWC, Tusclaoosa, AL, United States, (7)NOAA/OAR/PSL, Boulder, CO, United States, (8)NOAA CPC, College Park, MD, United States, (9)National Oceanic and Atmospheric Administration, Office of Water Prediction, National Weather Service, Silver Spring, MD, United States
A Continental Scale Fluvial Flood Risk Assessment Based on the NOAA National Water Model Reanalysis Dataset (443265)
Sam Lamont, Research Triangle Institute, Center for Water Resources, Remote, United States, Leigh Munchak, Athenium Analytics, Washington, DC, United States and Lindsay Gray, Athenium Analytics, Dover, United States
A Framework for Linking the NWS National Water Model with the US Army Corps of Engineers HEC-HMS Model Parameters (376145)
David C Curtis and Luciana Cunha, WEST Consultants, Folsom, CA, United States
Incorporating Realistic Channel Geometry Data to Improve Continental-Scale Flood Forecasts with the National Water Model (398035)
John Thomas Brackins, Tennessee Technological University, Cookeville, TN, United States, Azbina Rahman, George Mason University Fairfax, Fairfax, VA, United States, Nishani Poorna Moragoda, University of Alabama, Geography, Tuscaloosa, AL, United States, Sagy Cohen, University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States and Christopher Lowry, University at Buffalo, Geology, Buffalo, NY, United States
1D and 2D Hydrodynamic Modeling of Riverine-Estuary System under Extreme Storms: A Case Study of Delaware Bay/River Basin (413622)
Kazungu Maitaria, University Corporation for Atmospheric Research, Cooperative Programs for the Advancement of Earth System Science (CPAESS), Boulder, CO, United States, Roham Bakhtyar, NOAA / Office of Water Prediction / National Water Center, Tuscaloosa, AL, United States, Beheen Trimble, NOAA-NWC, Tuscaloosa, AL, United States, Panagiotis Velissariou, NOAA/NWS/OWP National Water Center, Tuscaloosa, AL, United States, Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States and Hassan Mashriqui, Office of Water Prediction, National Weather Service, NOAA, Silver Spring, MD, United States
Effects of Spatial Resolution on a Distributed Hydrologic Model through Dynamical Forcings: Flood Extent and Depth in Low Gradient Watersheds (461147)
Francisco Perez Jr, Michigan Technological University, Houghton, MI, United States, Tasnuva Rouf, George Mason University Fairfax, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States, Andrew Goenner, Iowa State University, Ames, IA, United States, Deepa Gurung, University of Calgary, Geography, Calgary, AB, Canada, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Sarah J Praskievicz, University of Alabama, Geography, Tuscaloosa, AL, United States and Jude Benavides, University of Texas Rio Grande Valley, School of Earth, Environmental, and Marine Sciences, Brownsville, United States
Enhancements to the WRF-Hydro Hydrologic Model Structure for Semi-arid Environments (443486)
Timothy M Lahmers1, Pieter Hazenberg1, Hoshin Gupta1, Christopher L Castro1, David Gochis2, Aubrey L Dugger3, David N Yates3, Laura K Read4, Logan R Karsten2, Yuan-Heng Wang5, Robert J Zamora6 and Brian A. Cosgrove7, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)Upstream Tech, Denver, United States, (5)The University of Arizona, Hydrology and Atmospheric Science, Tucson, United States, (6)NOAA/OAR/PSD, Boulder, CO, United States, (7)NOAA/NWS Office of Water Prediction, Silver Spring, United States
Hydrologic Operational Evaluation Reporting System for the National Water Model (424949)
Juzer Fakhruddin Dhondia1,2, David Riley2, Alexander Maestre1, Monica Stone3, Hank Herr4 and Tomislava Vukicevic5, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)National Weather Service, Office of Water Prediction, Tuscaloosa, AL, United States, (3)NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States, (4)NOAA/NWS/OWP, Silver Spring, United States, (5)Faculty of Physics, University of Belgrade, Belgrade, Serbia
Improving hydrological simulations via the integration of remotely sensed data assimilation and coupling of the WRF-Hydro model with NASA’s Land Information System (LIS) (443641)
Chandana Gangodagamage1, Sujay V Kumar2, Joseph A Santanello Jr3, Aubrey L Dugger4, David Gochis5, Daniel Rosen6, Rocky Rosen7, Logan Karsten4, Kevin Michael Sampson8 and Cecelia DeLuca9, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, Code 617, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (7)NOAA Earth System Research Laboratory, Boulder, CO, United States, (8)Airborne Snow Observatories, Inc., Boulder, United States, (9)CIRES, University of Colorado Boulder, Boulder, CO, United States
Distributed Hydrologic Modeling For Flood Mitigation - San Francisco Bay Advanced Quantitative Precipitation Information System (398541)
Lynn E Johnson, NOAA Boulder, PSD2, Boulder, CO, United States, Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States, Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Greg Pratt, NOAA Earth System Research Laboratory, Global Systems Division, Boulder, CO, United States, Mark Boucher, Contra Costa County Public Works, Flood Control & Water Conservation District, Martinez, CA, United States and Roger Leventhal, Marin County, Department of Public Works - Flood Control, San Rafael, CA, United States
Hyper-Resolution Flood Inundation Modeling: Use of Surveyed High Water Marks in the Evaluation of Hyper-Resolution Hydrologic Models (394274)
Nathan Patrick1, Michael B Smith2, Fred L Ogden3, Trey Flowers4, Jongkwan Kim1 and Nels Frazier5, (1)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Silver Spring, United States, (3)NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (4)National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, (5)NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Nested hyper-resolution modeling for the National Water Model – The Dallas-Fort Worth Testbed (451265)
Sunghee Kim1, Seongjin Noh1, Dong-Jun Seo2, Edwin Welles3, Erik Pelgrim4, Albrecht Weerts5, Brenda Philips6, Eric Adams6, Michael B Smith7 and Ernie Wells8, (1)University of Texas at Arlington, Arlington, TX, United States, (2)University of Texas at Arlington, Civil Engineeing (Water Resources), Arlington, TX, United States, (3)Deltares USA, Silver Spring, United States, (4)Deltares, Delft, Netherlands, (5)Deltares, Operational Water Management & Early Warning, Delft, Netherlands, (6)University of Massachusetts Amherst, Amherst, MA, United States, (7)NOAA/NWS Office of Water Prediction, National Water Center, Silver Spring, United States, (8)NOAA/NWS, Analyze, Forecast and Support Office, Silver Spring, United States

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