H037
Continental Scale Modeling: Process Heterogeneity from Summit to Sea

Session ID#: 85513

Session Description:
The NWS Office of Water Prediction is leading development of the National Water Model (NWM). Ultimately, the NWM will include capabilities for forecasting the full suite of water budget variables from local to continental scales, providing insight into inland and coastal flooding, droughts, waterborne navigation, emergency response, water quality and water supply. Continental-scale hydrologic prediction represents a new frontier at the nexus of coupled atmospheric, hydrologic and coastal models, with important connections to subsurface processes, remote sensing, data assimilation, anthropogenic effects, big data, decision support, calibration and parameter estimation, machine learning, model testing and evaluation.  The role of and adequate representations to simulate process heterogeneity over a range of scales is of particular interest.  The development of the NWM provides natural collaborative opportunities and this session seeks presentations or posters on any of these topics, with a particular focus on facilitation of collaborations and enhancing community involvement.
Co-Sponsor(s):
  • WCRP: World Climate Research Programme -
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1839 Hydrologic scaling [HYDROLOGY]
1843 Land/atmosphere interactions [HYDROLOGY]
1847 Modeling [HYDROLOGY]

Primary Convener:  Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Conveners:  Patrick Burke, NOAA/NOS/CO-OPS, Silver Spring, MD, United States, Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States and Meredith Reitz, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Reston, VA, United States
Primary Liaison:  Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Continental Scale Heterogenous Channel Routing Strategy for Operational and Forecast Models (485081)
Ehab A Meselhe, Tulane University of Louisiana, New Orleans, LA, United States, Maryam Asgari Lamjiri, Scripps Institution of Oceanography, La Jolla, CA, United States, Kelly Flint, San Diego State University, San Diego, CA, United States, Sean Matus, University of Illinois at Urbana Champaign, Urbana Champaign, United States, Kyle Mandli, Columbia University, New York, United States and Eric White, Tulane University, New Orleans, United States
 
Improving Soil Moisture States in WRF-Hydro Using SWOT Observations (491535)
Nicholas J Elmer and Christopher Hain, NASA Marshall Space Flight Center, Huntsville, AL, United States
 
Considerations for Continental-Scale Modeling of Stream Temperature and Nutrients with Examples from the Field (492549)
Hedeff Essaid, USGS, Menlo Park, CA, United States
 
Representing subsurface lateral groundwater flow in Earth system models (495120)
Chang Liao1, Leung Ruby1, Yilin Fang2 and Teklu K Tesfa3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Battelle, Pacific Northwest National Laboratory, Richland, WA, United States, (3)PNNL, Richland, WA, United States
 
An Update In Hydrology Model Development And Application (495591)
Wei Yu, Weather Tech Services, LLC, Longmont, CO, United States, Z. George Xue, Louisiana State University, Baton Rouge, LA, United States, Dongxiao Yin, Louisiana State University, Baton Rouge, United States and Yuan Ho, UCAR/Unidata, Boulder, CO, United States
 
Climate-to-ecosystem integrated modeling in the San Francisco Bay-Delta estuary: An overview of the CASCaDE project (Part 2—Modeling of Water Quality and Ecosystem Processes) (Invited) (497478)
Lisa Vidergar Lucas1, Fernanda Achete2, James M Bishop3, Larry R Brown4, Laura Dinitz5, Judith Z Drexler6, Theresa Fregoso7, Bruce E Jaffe8, Wim Kimmerer9, Noah Knowles10, Rosanne Martyr-Koller11, Francis Parchaso1, Dano J.A. Roelvink12, A. Robin Stewart1, Kathleen Swanson13, Janet K Thompson1, Tineke Troost14, Mick Van der Wegen12 and Marissa Wulff4, (1)USGS, Menlo Park, CA, United States, (2)Vortex Mundus, Rio de Janeiro, Brazil, (3)R3 Central Coast Regional Water Quality Control Board, San Luis Obispo, CA, United States, (4)USGS California Water Science Center Sacramento, Sacramento, United States, (5)Independent, Palo Alto, United States, (6)USGS California Water Science Center Sacramento, Sacramento, CA, United States, (7)USGS Pacific Coastal and Marine Science Center Santa Cruz, Santa Cruz, United States, (8)USGS Pacific Coastal and Marine Science Center Santa Cruz, Santa Cruz, CA, United States, (9)San Francisco State University - Romberg Tiburon Center, Tiburon, CA, United States, (10)U.S. Geological Survey, Menlo Park, CA, United States, (11)Independent, Munich, Germany, (12)IHE Delft Institute for Water Education, Delft, Netherlands, (13)San Francisco Public Utilities Commission, San Francisco, CA, United States, (14)Deltares, Delft, Netherlands
 
The Evolution of NOAA’s National Water Model: An Overview of Version 2.1 and Future Operational Plans (499508)
Brian Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States, David Gochis, NCAR, Boulder, CO, United States, Thomas Martin Graziano, NOAA, NWS Office of Water Prediction, Silver Spring, MD, United States, Edward P Clark, NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States and Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Parameter Sensitivity of the National Hydrologic Model Alaska Domain (503251)
Theodore B Barnhart, U.S. Geological Survey, Helena, MT, United States, Graham A Sexstone, Colorado State University, EASC - Watershed Science, Fort Collins, CO, United States, John C Hammond, U.S. Geological Survey, Baltimore, United States, Sydney Foks, U.S. Geological Survey, Lakewood, United States and Jessica M Driscoll, U.S. Geological Survey, Denver, CO, United States
 
Representing Anthropogenic Processes in the National Water Model: A Persistence Approach to Reservoir Operations (506248)
Mehdi Rezaeianzadeh1, David Mattern2, Nels J Frazier3, Brian Cosgrove4, Trey Flowers5, Fernando Renzo Salas6, Laura Read7, Yuqiong Liu8, Wanru Wu9, Donald W Johnson10, Sadiq Khan11, Kevin Michael Sampson12, Matthew Casali7 and Graeme R Aggett13, (1)NOAA Affiliate, Lynker, NOAA/NWS Office of Water Prediction, Tuscaloosa, AL, United States, (2)NOAA Affiliate, Lynker Technologies, Office of Water Prediction, Tuscaloosa, AL, United States, (3)CyberData Technologies, Hendon, VA, United States, (4)NOAA/NWS/OHD, Silver Spring, MD, United States, (5)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (6)UCAR/NOAA National Water Center, Tuscaloosa, AL, United States, (7)University Corporation for Atmospheric Research, Boulder, United States, (8)NOAA/NWS/OWP, Silver Spring, MD, United States, (9)NOAA/NWS/OHD-Hydrology Lab, Silver Spring, MD, United States, (10)NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Analysis and Prediction Division, Tuscaloosa, AL, United States, (11)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (12)National Center for Atmospheric Research, Boulder, CO, United States, (13)Lynker Technologies, Boulder, CO, United States
 
A Multi-faceted Evaluation of National Water Model Snow Processes in Complex Terrain. (506652)
Francesca Viterbo1,2, Mimi Hughes1, Kelly M Mahoney1, Robert Cifelli3, Michael Barlage4, David Gochis4 and Clara Draper5, (1)NOAA/ESRL/PSD, Boulder, CO, United States, (2)University of Colorado/CIRES, Boulder, CO, United States, (3)NOAA Earth System Research Laboratory, Boulder, CO, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)NOAA ESRL / CIRES CU, Boulder, CO, United States
 
Hydrological responses to precipitation extremes: an investigation of the National Water Model system in the San Francisco Bay Area using AQPI Gap-Filling Radar (509041)
Yingzhao Ma1, V. Chandrasekar1, Robert Cifelli2 and Haonan Chen3, (1)Colorado State University, Fort Collins, CO, United States, (2)NOAA Earth System Research Laboratory, Boulder, CO, United States, (3)NOAA Earth System Research Laboratory and Colorado State University, Boulder, CO, United States
 
Leveraging emerging new soil datasets to enable field-scale hydrologic prediction over the Contiguous United States (515203)
Nathaniel W. Chaney1, Emma Xu1 and Noemi Vergopolan2, (1)Duke University, Durham, NC, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
 
Assessment of the Water Balance Model performance as a fresh water component in the Northeast Coastal Ocean Forecast System (517415)
Alexander A Proussevitch1, Joseph Salisbury II2, Changsheng Chen3, Siqi Li4, Qichun Xu4, Richard B Lammers5 and Tom Shyka6, (1)University of New Hampshire Main Campus, Earth Systems Research Center, Durham, NH, United States, (2)University of New Hampshire, Durham, NH, United States, (3)University of Massachusetts Dartmouth, New Bedford, MA, United States, (4)University of Massachusetts Dartmouth, School for Marine Science and Technology, New Bedford, MA, United States, (5)University of New Hampshire, Earth Systems Research Center, Durham, NH, United States, (6)Northeastern Regional Association of Coastal and Ocean Observing Systems, Rye, NH, United States
 
Regional-Scale Hydrologic and Hydrodynamic Modeling of a Riverine-Estuarine System under Extreme Storms: Application to U.S. East Coast (518022)
Roham Bakhtyar, NOAA / Office of Water Prediction / National Water Center, Tuscaloosa, AL, United States, P. Velissariou, NOAA-NWC, Tuscaloosa, United States, Kazungu Maitaria, National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), Tuscaloosa, AL, United States, Beheen Trimble, NOAA-NWC, Tuscaloosa, AL, United States, Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Hassan Mashriqui, National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), National Weather Service (NWS), Silver Spring, United States, Saeed Moghimi, NOAA National Ocean Service, Silver Spring, MD, United States, Ali Abdolali, University Corporation for Atmospheric Research, College Park, MD, United States, Andre Jaco Van der Westhuysen, NOAA Camp Springs, Camp Springs, MD, United States, Graeme R Aggett, Lynker Technologies, Boulder, CO, United States and Edward P Clark, NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States
 
Enhancement of the National Water Model Forecast Predictions by Establishing Correlations in Reservoir Release Datasets with Low Flow Conditions (518255)
Elizabeth Del Rosario, Corpus Christi, Texas, United States and Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Runoff Identification and Delimitation in Discharge Series Using Forward and Backward Moving Averages (520850)
Alexander Maestre1,2, Jason A Regina1,3, Fred L. Ogden1,3, Nels J Frazier1,4, Ross Wolford1, Jongkwan Kim1,5 and Trey Flowers1, (1)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)University Corporation for Atmospheric Research, Boulder, CO, United States, (3)University Corporation for Atmospheric Research, CPAESS, Boulder, CO, United States, (4)CyberData Technologies, Hendon, VA, United States, (5)University of Alabama, Alabama Water Institute, Tuscaloosa, AL, United States
 
A Visualization Workflow for Quantifying Parameter Sensitivities and Uncertainties for Hydrologic Models (522470)
Kyla Semmendinger, Cornell University, Biological and Environmental Engineering, Ithaca, NY, United States, Catherine Emily Finkenbiner, Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States and David L Blodgett, USGS, Baltimore, MD, United States
 
Model-Based Parametric Analysis of Total Water Prediction in Coastal Transition Zones of the US East and Gulf Coasts (523338)
Taher Chegini, University of Houston, Houston, TX, United States, Gustavo de Almeida Coelho, George Mason University Fairfax, Sid & Reva Dewberry Department of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States, John Ratcliff, The University of North Carolina at Chapel Hill, Department of Marine Sciences, Chapel Hill, NC, United States, Celso Ferreira, George Mason University, Fairfax, VA, United States, Kyle Mandli, Columbia University, New York, United States and Patrick Burke, NOAA/NOS/CO-OPS, Silver Spring, MD, United States
 
Calibrating the National Water Model V2.1 over the Contiguous United States (525728)
Xia Feng1, Arezoo Rafieeinasab2, Logan Karsten2, Wanru Wu3, David Kitzmiller3, Yuqiong Liu3, Brian Cosgrove3, Laura Read2, Aubrey L Dugger2, Yongxin Zhang2, Katelyn FitzGerald2, David Gochis2 and Molly McAllister2, (1)UCAR/NWC, Tuscaloosa, AL, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)NOAA/NWS/OWP, Silver Spring, MD, United States
 
Predicting Compound Flooding in Low-Lying Coastal Areas Produced by Tropical Storms (526341)
Panagiotis Velissariou, NOAA-NWC, Tuscaloosa, AL, United States, Kazungu Maitaria, National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), Tuscaloosa, AL, United States, Chris Amante, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Hassan Mashriqui, National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), National Weather Service (NWS), Silver Spring, United States, Roham Bakhtyar, NOAA / Office of Water Prediction / National Water Center, Tuscaloosa, AL, United States, Zaizhong Ma, National Centers For Environmental Prediction-Environmental Modeling Center, College Park, MD, United States, Ali Abdolali, University Corporation for Atmospheric Research, College Park, MD, United States, Saeed Moghimi, NOAA National Ocean Service, Silver Spring, MD, United States, Andre Jaco Van der Westhuysen, NOAA Camp Springs, Camp Springs, MD, United States, Graeme R Aggett, Lynker Technologies, Boulder, CO, United States and Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Regionalized parameters in global-scale hydrological models: Preliminary assessment of climate controls on parameter transferability (529180)
Takeo Yoshida, NIRE National Institute for Rural Engineering, Tsukuba, Japan, Naota Hanasaki, National Institute for Environmental Studies, Ibaraki, Japan and Kazuya Nishina, National Institute for Environmental Studies, Tsukuba-Shi, Japan
 
Linking Continental-Scale Watershed Hydrologic and Coastal Hydrodynamic Models for Improved Water Level and Inundation Prediction in the Great Lakes (536391)
Eric J Anderson1, Laura Read2, James Kessler3, Lacey Mason3 and Lauren Fry4, (1)NOAA Ann Arbor, Ann Arbor, MI, United States, (2)University Corporation for Atmospheric Research, Boulder, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)NOAA Ann Arbor, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
 
Developing a Hydrologic-Hydrodynamic Flood Forecasting System for Lake Champlain (540011)
Dmitry Beletsky1, Jesse C Feyen2, Lacey Mason3, Chuliang Xiao4, Andrew Gronewold4, Daniel Titze5, Haoguo Hu6, Eric J Anderson7, Philip Chu3, Laura Read8 and Willliam Saunders9, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)University of Michigan, Ann Arbor, MI, United States, (5)University of Michigan, Ann Arbor, United States, (6)CIGLR, University of Michigan, Ann Arbor, MI, United States, (7)NOAA/GLERL, Ann Arbor, MI, United States, (8)University Corporation for Atmospheric Research, Boulder, United States, (9)NWS NERFC, Norton, United States
 
National Water Model as a Service: Towards a New Frontier of Community Engagement (542453)
Nels J Frazier, NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Zachary Wills, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States and Shengting Cui, NOAA Affiliate, ERT Inc, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Next Generation National Water Model Architecture: Organizing principles to support evolving capabilities. (543631)
Donald W Johnson1, Nels J Frazier2, Fred L. Ogden3, Shengting Cui4, David L Blodgett5, Joseph Davis Hughes6, Parker A Norton II5 and Ryan Cabell7, (1)NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Analysis and Prediction Division, Tuscaloosa, AL, United States, (2)NOAA Affiliate, CyberData Technologies, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (3)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (4)NOAA Affiliate, ERT Inc, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (5)USGS, Baltimore, MD, United States, (6)USGS, Integrated Modeling and Prediction Division, Reston, VA, United States, (7)NCAR, Boulder, CO, United States
 
Climate-to-ecosystem integrated modeling in the San Francisco Bay-Delta estuary: An overview of the CASCaDE project (Part 1—Modeling of physical processes) (545577)
Noah Knowles1, Daniel R Cayan2, Collin Cronkite-Ratcliff3, Michael D Dettinger4, Alan L Flint5, Lorraine E Flint6, Theresa Fregoso7, John J Helly2, Bruce E Jaffe8, Herman Kernkamp9, Lisa Vidergar Lucas10, Rosanne Martyr-Koller11, Tara Morgan-King12, David W Pierce13, Dano J.A. Roelvink14, David H Schoellhamer15, Michelle A Stern6, Arthur van Dam9, Sander van der Pijl9, Mick Van der Wegen16, Julia Vroom9 and Scott A Wright17, (1)USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States, (2)University of California San Diego, La Jolla, CA, United States, (3)U.S. Geological Survey, Menlo Park, CA, United States, (4)Scripps Institution of Oceanography, Center for Western Weather and Water Extremes, La Jolla, CA, United States, (5)USGS, Sacramento, CA, United States, (6)US Geological Survey, Sacramento, CA, United States, (7)USGS Pacific Coastal and Marine Science Center Santa Cruz, Santa Cruz, United States, (8)USGS Pacific Science Ctr, Santa Cruz, CA, United States, (9)Deltares, Delft, Netherlands, (10)USGS, Menlo Park, CA, United States, (11)Independent, Munich, Germany, (12)USGS California Water Science Center Sacramento, Sacramento, CA, United States, (13)Univ California San Diego, La Jolla, CA, United States, (14)IHE Delft Institute for Water Education, Delft, Netherlands, (15)USGS, Portland, OR, United States, (16)UNESCO-IHE, Delft, Netherlands, (17)U.S. Geological Survey, Sacramento, CA, United States
 
iFLOOD: An experimental platform for integrated total water forecasts for the National Capital Region and the Chesapeake Bay (547670)
Celso Ferreira, George Mason University Fairfax, Department of Civil, Environmental and Infrastructure Engineering, Fairfax, VA, United States, Arslaan Khalid, GMU, Fairfax, United States, Tyler Will Miesse, George Mason University Fairfax, Fairfax, VA, United States, Selina Sumi, GMU, Department of Civil,Environmental and Infrastructure Engineering, Fairfax, VA, United States and Gustavo de Almeida Coelho, George Mason University Fairfax, Sid & Reva Dewberry Department of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States
 
Flood Inundation Mapping using Hydrologic Models and Remote Sensing in Support of the National Water Model (551124)
Fernando Aristizabal1,2, Fernando Renzo Salas3, Mark Glaudemans4, James Halgren5, Jasmeet Judge6, Paul Gader7, Brian K Avant8, Laura Keys5 and Rewati Niraula9, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)Office of Water Prediction, NOAA/NWS, Tuscaloosa, AL, United States, (3)UCAR/NOAA National Water Center, Tuscaloosa, AL, United States, (4)NOAA, NWS Office of Water Prediction, Silver Spring, United States, (5)Lynker Technologies, Boulder, United States, (6)Center for Remote Sensing, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States, (7)University of Florida, Ft Walton Beach, FL, United States, (8)Environmental Protection Agency Athens, Athens, GA, United States, (9)Tarleton State Univeristy, TIAER, Stephenville, TX, United States
 
Using Digital Recursive Filters to Estimate Subsurface Stormflow Parameters at the Catchment Scale across Different Landcovers (553833)
Jason A Regina and Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Assessing Runoff Risk to Support Nutrient Application Timing Using a Hybrid of Physically-based and Statistical Models—an Application of National Water Model (553873)
Yao Hu1, Lindsay Fitzpatrick1, Dustin Goering2, Lacey Mason3, Lauren M Fry4, Laura Read5, Andrea Thorstensen2 and Brent M Lofgren3, (1)University of Michigan, Ann Arbor, MI, United States, (2)NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)US Army Corps of Engineers - Detroit District, Office of Great Lakes Hydraulics and Hydrology, Detroit, MI, United States, (5)University Corporation for Atmospheric Research, Boulder, United States
 
Assessment of NOAA National Water Model Operational Short-Range Streamflow Forecasts: A February 2019 Case Study in San Francisco Bay Area (555803)
Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Lynn Johnson, Cooperative Institute for Research in the Atmosphere and NOAA ESRL, Physical Sciences Division, Fort Collins, CO, United States and Robert Cifelli, NOAA Earth System Research Laboratory, Boulder, CO, United States
 
Near Real-Time Hydrologic Operational Evaluation of National Water Model (NWM) Streamflow Short- and Medium-Range Forecasts. (571224)
Juzer Fakhruddin Dhondia1,2, David Riley2, Hank Herr3, Peggy Lee2, Christopher Tubbs2,4, Jesse Bickel4,5, Alexander Maestre6,7, James Brown8 and Trey Flowers6, (1)University Corporation for Atmospheric Research, CPAESS, Boulder, CO, United States, (2)National Weather Service, Office of Water Prediction, Tuscaloosa, AL, United States, (3)NOAA/NWS/OWP, Silver Spring, MD, United States, (4)ERT, Inc., Laurel, United States, (5)National Weather Service, Office of Water Prediction, Tuscaloosa, United States, (6)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (7)University Corporation for Atmospheric Research, Boulder, CO, United States, (8)Hydrologic Solutions Limited, Southampton, United Kingdom
 
Implementation and evaluation of channel infiltration in the NOAA National Water Model for semi-arid environments (574433)
Pieter Hazenberg1, Timothy M Lahmers2, Christopher L Castro1, David Gochis3, Aubrey L Dugger4, David N Yates5, Laura Read6, Logan Karsten7, Yuan-Heng Wang8, Robert J Zamora9 and Brian Cosgrove10, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of Arizona, Tucson, AZ, United States, (3)NCAR, Boulder, CO, United States, (4)University of California Santa Barbara, Santa Barbara, CA, United States, (5)University Corporation for Atmospheric Research, Boulder, CO, United States, (6)University Corporation for Atmospheric Research, Boulder, United States, (7)National Center for Atmospheric Research, Boulder, United States, (8)The University of Arizona, Hydrology and Atmospheric Science, Tucson, United States, (9)NOAA/OAR R/PSD2, Boulder, CO, United States, (10)NOAA/NWS/OHD, Silver Spring, MD, United States
 
Hyper Resolution Modeling of Urban Flooding (577963)
Michael B Smith, NOAA/NWS Office of Water Prediction, National Water Center, Silver Spring, MD, United States, Laura Read, University Corporation for Atmospheric Research, Boulder, United States, Nathan Patrick, NOAA/NWS California-Nevada River Forecast Center, Sacramento, CA, United States, Nels J Frazier, CyberData Technologies, Hendon, VA, United States, Jongkwan Kim, University of Alabama, Alabama Water Institute, Tuscaloosa, AL, United States, Logan Karsten, National Center for Atmospheric Research, Boulder, United States, Kevin Michael Sampson, National Center for Atmospheric Research, Boulder, CO, United States and Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Evaluation of Precipitation Fields for National Water Model Prediction over Large Lakes and International Basins (581755)
Lauren M Fry1,2, Eric J Anderson2, Laura Read3 and Arezoo Rafieeinasab3, (1)US Army Corps of Engineers - Detroit District, Office of Great Lakes Hydraulics and Hydrology, Detroit, MI, United States, (2)NOAA/GLERL, Ann Arbor, MI, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States
 
Assessment and Calibration of the WRF-Hydro National Water Model Configuration for a Snowmelt Dominated Watershed in a Mountain Karst Region (587271)
Irene Garousi Nejad, Utah State University, Logan, UT, United States and David G Tarboton, Utah State University, Logan, United States
 
Global fully-distributed parameter regionalization based on observed streamflow from 4229 headwater catchments (587420)
Ming Pan1, Hylke Beck1, Peirong Lin2, Jan Seibert3,4, Albert van Dijk5 and Eric F Wood1, (1)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (2)Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States, (3)Uppsala University, Earth Sciences, Uppsala, Sweden, (4)Stockholm University, Department of Physical Geography, Stockholm, Sweden, (5)Australian National University, Canberra, Australia
 
Impacts of subgrid topographic heterogeneity in the Energy Exascale Earth System Model (587901)
Teklu K Tesfa1, L. Ruby Leung1, Peter E Thornton2 and Michael Brunke3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, (3)The University of Arizona, Tucson, AZ, United States
 
Continental-Scale Coupled Groundwater–Surface-Water Modelling (588258)
Kerry Lee Callaghan, University of Minnesota, Department of Earth & Environmental Sciences, Minneapolis, MN, United States, Andrew D Wickert, University of Minnesota, Minneapolis, MN, United States and Richard Barnes, University of California Berkeley, Berkeley, CA, United States
 
Improving delta river network representation in multi-resolution basin-scale hydrological models through digitization of waterbody geometries and flow bifurcation. (588695)
Zachary D Tessler1, Charles J Vorosmarty1, Fabio Corsi2 and Balazs M Fekete3, (1)Advanced Science Research Center at the Graduate Center, CUNY, Environmental Sciences Initiative, New York, NY, United States, (2)CUNY City College of New York, New York, NY, United States, (3)CUNY City College, New York, NY, United States
 
Modeling hydrology at the largest and longest scales (599318)
Richard Barnes, University of California Berkeley, Berkeley, CA, United States
 
Representing Urban Infiltration in the National Water Model (599510)
Mike Johnson1, Aubrey L Dugger2, Keith C Clarke1 and Michael Barlage2, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States
 
Enhancing total water prediction for the Great Lakes through calibration of the National Water Model in Canadian watersheds (602571)
Philip P Chu, NOAA Great Lakes Environmental Research Laboratory, NOAA, Ann Arbor, MI, United States, Timothy Hunter, NOAA Ann Arbor, Ann Arbor, MI, United States, Lauren M Fry, US Army Corps of Engineers - Detroit District, Office of Great Lakes Hydraulics and Hydrology, Detroit, MI, United States; NOAA/GLERL, Ann Arbor, MI, United States, Lacey Mason, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, Kevin Michael Sampson, National Center for Atmospheric Research, Boulder, CO, United States, Laura Read, University Corporation for Atmospheric Research, Boulder, United States, Andrew Gronewold, University of Michigan Ann Arbor, Ann Arbor, United States, David Gochis, NCAR, Boulder, CO, United States, Arezoo Rafieeinasab, Univ of TX-Arlington-Civil Eng, Arlington, TX, United States and Logan Karsten, National Center for Atmospheric Research, Boulder, United States
 
A Proposed Hydrologic Model Taxonomy as a Means to Improve Hydrologic Model Comparison, Evaluation, and Reproducibility (604450)
Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, David L Blodgett, USGS, Baltimore, MD, United States and Nels J Frazier, CyberData Technologies, Hendon, VA, United States
 
Towards a Unified Modeling Framework for Coupling Coastal Ocean Models and Inland Hydrology at NOAA's National Ocean Service (607929)
Edward Payson Myers III1, Saeed Moghimi2, Sergey V Vinogradov1, Lei Shi3, Zizang Yang4, Yinglong J Zhang5, Fei Ye6, Joannes J Westerink7, María Teresa Contreras Vargas8, Kendra M Dresback9, Christine Szpilka10, Andre Jaco Van der Westhuysen11, Jaime Calzada3, Kazungu Maitaria12, Changsheng Chen13, Qi Jianhua14, John Wilkin15, Hernan Arango15, Audra Luscher-Aissaoui1, Patrick Burke16, Trey Flowers17, Nicole Kurkowski18, Derrick P Snowden19, Neeraj Saraf1, Julia Powell20 and Cecelia DeLuca21, (1)NOAA National Ocean Service, Silver Spring, MD, United States, (2)NOAA National Ocean Service, Washington, DC, United States, (3)NOAA National Ocean Service, Silver Spring, United States, (4)NOAA/NOS, Silver Spring, MD, United States, (5)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (6)Virginia Institute of Marine Science, Gloucester Pt., VA, United States, (7)Univ Notre Dame, Notre Dame, IN, United States, (8)University of Notre Dame, Department of Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, (9)Univ of Oklahoma, School of Civil Engineering and Environmental Science, Norman, OK, United States, (10)Oklahoma University, Norman, United States, (11)NOAA Camp Springs, Camp Springs, MD, United States, (12)National Oceanic and Atmospheric Administration (NOAA), National Water Center (NWC), Tuscaloosa, AL, United States, (13)University of Massachusetts Dartmouth, New Bedford, MA, United States, (14)University of Massachusetts-Dartmouth, New Bedford, MA, United States, (15)Rutgers University, New Brunswick, NJ, United States, (16)NOAA/NOS/CO-OPS, Silver Spring, MD, United States, (17)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (18)NOAA, Silver Spring, MD, United States, (19)Integrated Ocean Observing System, Silver Spring, MD, United States, (20)NOAA National Ocean Service, Office of Coast Survey, Silver Spring, MD, United States, (21)CIRES, University of Colorado Boulder, Boulder, CO, United States
 
Experimental loose one-way coupling of TOPMODEL with NWM to substitute runoff processes in a headwater catchment (612866)
Dong-Hyun Kim1, Amina Naliaka2, Zhipeng Zhu3, Hilary K McMillan1, Fred L. Ogden4 and CUAHSI-NWC SI 2019, Scaling Theme Team: TOPMODEL-NWM Coupling, (1)San Diego State University, Department of Geography, San Diego, CA, United States, (2)Southern Illinois University, Department of Environmental Resources and Policy, Carbondale, IL, United States, (3)University of Cincinnati Main Campus, Environmental Engineering and Science, Cincinnati, OH, United States, (4)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Parameterizing waterbodies in a level pool scheme: a National Water Model application (613331)
Laura K Read1, David N Yates2, Andrew Gronewold3, Kevin Michael Sampson1 and David Gochis4, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University Corporation for Atmospheric Research, Boulder, CO, United States, (3)University of Michigan Ann Arbor, Ann Arbor, United States, (4)NCAR, Boulder, CO, United States
 
National Water Model Channel Geometry: Using a new Dockerized Job Scheduler for NWM Parametrization (614090)
Arthur Austin Raney II, University of Alabama, Tuscaloosa, AL, United States, Iman Maghami, University of Virginia, Charlottesville, VA, United States, Sagy Cohen, University of Alabama, Tuscaloosa, United States and Yenchia Feng, Stanford University, Stanford, CA, United States
 
Improving Access to Continental-Scale Hydrology Models for Research and Education - A Subsetting Adventure (619688)
Anthony M Castronova1, Danielle Tijerina2, Aubrey L Dugger3, Arezoo Rafieeinasab4, Molly McAllister5, Laura E Condon6, Hoang Tran7, Jun Zhang6, David Gochis8 and Reed M Maxwell9, (1)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, (2)CUAHSI, Boston, MA, United States, (3)University of California Santa Barbara, Santa Barbara, CA, United States, (4)Univ of TX-Arlington-Civil Eng, Arlington, TX, United States, (5)National Center for Atmospheric Research, Boulder, CO, United States, (6)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (7)Colorado School of Mines, Department of Geology and Geological Engineering, Golden, CO, United States, (8)NCAR, Boulder, CO, United States, (9)Colorado School of Mines, Golden, CO, United States
 
Assimilation of Satellite Remote Sensing in Hydrological Model: A Case Study with WRF-Hydro in Puerto Rico (621182)
Tarendra Lakhankar, NOAA-CREST, The City College of New York, CUNY, New York, NY, United States, Jonathan Munoz Barreto, University of Puerto Rico Mayaguez, Civil Engineering, Mayaguez, PR, United States, Arikuzzaman Idrisy, NOAA CREST Center, CUNY, New York, United States and Kendall Molas, NOAA-CREST Center, CUNY, New York, United States
 
Status Update and Regional Performance Evaluation of the National Water Model (623537)
David J Gochis1, Brian Cosgrove2, Aubrey L Dugger3, Kevin Michael Sampson1, Michael Barlage1, Fernando Renzo Salas4, David N Yates5, Arezoo Rafieeinasab6, Laura Read7, Molly McAllister1, Katelyn FitzGerald1, Ryan Cabell8, Matthew Casali7, Yongxin Zhang9, Trey Flowers10 and Joe Grim8, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NOAA/NWS/OHD, Silver Spring, MD, United States, (3)University of California Santa Barbara, Santa Barbara, CA, United States, (4)UCAR/NOAA National Water Center, Tuscaloosa, AL, United States, (5)University Corporation for Atmospheric Research, Boulder, CO, United States, (6)Univ of TX-Arlington-Civil Eng, Arlington, TX, United States, (7)University Corporation for Atmospheric Research, Boulder, United States, (8)NCAR, Boulder, CO, United States, (9)NCAR-Rsrch Applications Lab, Boulder, CO, United States, (10)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
Multi-scale Integrated Modeling in the USGS Water Mission Area (623725)
Katherine Skalak1, David P Lesmes2, David L Blodgett3, Jessica M Driscoll4, Hedeff Essaid5, William Hastings Farmer6, Michael N Fienen7, Jud W Harvey8, Joseph Davis Hughes9, Samantha Oliver10, Matthew P Miller11, Jordan Stuart Read12, Meredith Reitz13, Kendra Russell14, Edward Stets15 and Roland Joseph Viger3, (1)USGS Headquarters, Reston, VA, United States, (2)Department of Energy, Office of Biological and Environmental Research, Germantown, MD, United States, (3)USGS, Baltimore, MD, United States, (4)University of Arizona, Tucson, AZ, United States, (5)USGS, Menlo Park, CA, United States, (6)USGS Office of Surface Water, Rolla, MO, United States, (7)USGS, Middleton, WI, United States, (8)USGS, Reston, VA, United States, (9)USGS, Integrated Modeling and Prediction Division, Reston, VA, United States, (10)USGS Wisconsin Water Science Center, Middleton, United States, (11)United States Geological Survey (USGS), Salt Lake City, UT, United States, (12)USGS Center for Integrated Data Analytics, Middleton, WI, United States, (13)United States Geological Survey, Hydrologic Remote Sensing Branch, Observing Systems Division, Water, Reston, VA, United States, (14)USGS Geological Survey, Reston, VA, United States, (15)U.S. Geological Survey, National Research Program, Boulder, CO, United States
 
Evaluation of Integrated Land Simulator using site observations (633041)
Tomoko Nitta, University of Tokyo, Institute of Industrial Science, Bunkyo-ku, Japan, Takashi Arakawa, Kettering, OH, United States, Akira Takeshima, The University of Tokyo, Bunkyo-ku, Japan, Misako Hatono, Tohoku University, Sendai, Japan, Hisashi Yashiro, NIES National Institute of Environmental Studies, Ibaraki, Japan, Dai Yamazaki, The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan and Kei Yoshimura, The University of Tokyo, Institute of Industrial Science, Kashiwa, Japan
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