H026
Advancing the State-of-the-Science of Water Resources Modeling - Community Development at the Intersection of Domain, Data, and Computer Sciences

Session ID#: 157738

Session Description:
Creating useful models to support water prediction services is an ongoing challenge as user needs evolve in a changing climate. Societal needs require modeling at larger spatial domains (i.e. continental) and unification of freshwater, saltwater, and atmospheric modeling systems. Solving these challenges requires creating new software frameworks; leveraging domain, computer, and data sciences; and fostering a multidisciplinary development community. NOAA and its open community of collaborators have been developing a next generation modeling framework that will support advancements across a broad range of subject areas, such as development of the framework and interfaces; process representation across differing conditions; coupled inland and coastal processes; data assimilation; parameterization and calibration focused on machine/deep learning approaches; and performance evaluation. This session seeks submissions on topics aimed at improving the skill and effectiveness of water resources models and invites contributions from those making community advances in all aspects of this challenge.
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1816 Estimation and forecasting [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]


Primary Convener:  Trey Flowers, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
Conveners:  Patrick Burke, NOAA/NOS/CO-OPS, Silver Spring, MD, United States, Jerad Bales, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, DC, United States and Christopher Massey, U.S. Army Engineers Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
 
QuiCFIM, a Quick GIS-Based Combined Flood Inundation Mapping Framework (1053669)
Mohamed Abdelkader, Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering (CEOE), Hoboken, NJ, United States, Mark Wang, University of Texas at Austin, Dept. of Civil, Architectural, and Environmental Engineering, Austin, United States, Ankit Ghanghas, Purdue University, West Lafayette, IN, United States, Celso Ferreira, George Mason University, Sid and Reva Dewberry Dept of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States and Kyle T Mandli, Columbia University, Applied Physics and Applied Mathematics, New York, United States
 
Coupling coastal and hydrologic models through the first coastal Basic Model Interface in the Next Generation National Water Model Framework in low gradient coastal regions of Galveston Bay, Texas, USA (1062057)
A. Hart Henrichsen, North Carolina State University Raleigh, Raleigh, NC, United States, Seyed Mohammad Ebrahim Hamidi, University of Alabama, Department of Civil, Construction and Environmental Engineering, Tuscaloosa, United States, Abigail Sandquist, University of Nevada Reno, Reno, United States, Hongyuan Zhang, Coastal Carolina University, School of Coastal and Marine Systems Science, Conway, SC, United States, Celso Ferreira, George Mason University, Sid and Reva Dewberry Dept of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States and Kyle T Mandli, University of Texas at Austin, Austin, TX, United States
 
Development of a Next Generation Prediction System for Great Lakes water levels and Lake Management Decisions (1062411)
Lauren M Fry, NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States, Deborah Hollister Lee, NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, Sara Hughes, Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, United States, Andrew Gronewold, University of Michigan, Ann Arbor, MI, United States and Ayumi Fujisaki-Manome, Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, MI, United States
 
The National Water Model: Current Status and Evolution to the NextGen Framework (1071884)
Brian A. Cosgrove1, Edward P Clark2, Aubrey L Dugger3, Trey Flowers2, David Gochis4, Thomas Martin Graziano5 and Fred L. Ogden6, (1)NOAA/NWS Office of Water Prediction, Silver Spring, United States, (2)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (4)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (5)NOAA, NWS Office of Water Prediction, Silver Spring, MD, United States, (6)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Data Assimilation of USGS Streamflow Data in the Nextgen Framework (1080799)
Motasem Abualqumboz, Utah State University, Logan, UT, United States, Fitsume Teshome Wolkeba, University of Alabama, Tuscaloosa, AL, United States, Kenneth Ekpetere, University of Kansas, Lawrence, United States, Zach J Butler, Plymouth State University, Applied Meteorology, Plymouth, NH, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States and Jonathan M Frame, University of Alabama, Geological Sciences, Tuscaloosa, United States
 
Evaluation of a Total Water Level Forecasting Capability for the National Water Model (NWM) V3.0 (1086936)
Qi Shi, I. M. Systems Group, Inc., Camp Springs, MD, United States, Camaron George, University of Alabama, Tuscaloosa, United States, Tayebeh Sangchoulie, University of Alabama, Tuscaloosa, AL, United States, Brian A. Cosgrove, NOAA/NWS/OHD, Silver Spring, United States and Trey Flowers, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Incorporating Physics-based Water Temperature Predictions into the National Water Model Framework (1087681)
Jeffrey Scott Wade, Syracuse University, Syracuse, United States and Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Statistical Methodology for PRV Malfunction Detection and Alerting in Water Distribution Networks: A large scale application to the city of Patras in western Greece. (1087826)
Anastasios Perdios, University of Patras, Department of Civil Engineering, Patras, Greece, George Kokosalakis, American College of Greece, Deree, School of Business and Economics, Department of Maritime Transport and Logistics, Athens, Greece, Nikolaos Th. Fourniotis, University of the Peloponnese, Department of Civil Engineering, Patras, Greece, Demetris Pantzalis, Municipal Enterprise of Water Supply and Sewerage of the City of Patras, Patras, Greece and Andreas Langousis, University of Patras, Patras, Greece
 
Enhancement of the Three-Dimensional Surge and Tide Operational Forecast System for the Atlantic (STOFS-3D-Atlantic) (1088872)
Fei Ye1, Yinglong J Zhang1, Linlin Cui1, HaoCheng Yu1, Zizang Yang2, Gregory N Seroka3, Saeed Moghimi3 and Edward Payson Myers III4, (1)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (2)NOAA National Ocean Service, Silver Spring, United States, (3)NOAA National Ocean Service, Silver Spring, MD, United States, (4)NOAA, NOS/OCS, Silver Spring, MD, United States
 
Towards flexible, rich, and easy model coupling environments via CyberWater’s open data and open model framework (1089359)
Daniel Luna1, Ranran Chen2, Ryan Young3, Yao Liang2 and Xu Liang4, (1)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, PA, United States, (2)Indiana University Purdue University Indianapolis, Department of Computer and Information Science, Indianapolis, IN, United States, (3)University of Pittsburgh, Department of Mathematics, Pittsburgh, PA, United States, (4)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, United States
 
Evaluation of Streamflow Generation Using Different Formulations of Conceptual Functional Equivalent Model for Semi Arid Region. (1090245)
Arash Modaresi Rad, Boise State University, Computing, Boise, United States, Engela Sthapit, NOAA CESSRST, City College of New York, Civil Engineering, New York, United States, Mohamed Awaad, University of Louisiana at Lafayette, Department of Civil Engineering, Lafayette, LA, United States, Rajesh Sigdel, University of North Carolina at Greensboro, Department of Geography, Environment, and Sustainability, North Carolina, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States and Hilary K McMillan, San Diego State University, San Diego, CA, United States
 
Large-scale application of a statistically rigorous and user unbiased algorithmic approach for reduction of leakages in the water distribution networks (1104820)
Athanasios Serafeim1, George Kokosalakis2, Roberto Deidda3, Nikolaos Th. Fourniotis4 and Andreas Langousis1, (1)University of Patras, Patras, Greece, (2)American College of Greece, Deree, School of Business and Economics, Department of Maritime Transport and Logistics, Athens, Greece, (3)University of Cagliari, Department of Civil, Environmental and Architectural Engineering, Cagliari, Italy, (4)University of the Peloponnese, Department of Civil Engineering, Patras, Greece
 
Domain and Formulation Scalability of the Next Generation National Water Model Framework (1109901)
Donald W Johnson1, Fred L. Ogden2, Nels J Frazier3, Robert Bartel1 and Shengting Cui4, (1)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)NOAA Affiliate, Lynker, Tuscaloosa, United States, (4)NOAA/NWS/National Water Center, Lynker Tech., Tuscaloosa, United States
 
Localized Influence of Tributaries on Coastal Hydrodynamics in a High-Resolution Linked Hydrologic-Hydrodynamic Model (1110198)
Daniel Titze, Great Lakes Environmental Research Laboratory, Ann Arbor, United States, Lindsay Fitzpatrick, Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States, John G.W. Kelley, NOAA/National Ocean Service/Coast Survey Development Lab, Durham, NH, United States, Eric J Anderson, Great Lakes Environmental Research Laboratory (GLERL), National Oceanic and Atmospheric Administration (NOAA), Ann Arbor, United States, Dmitry Beletsky, University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States and Jesse C Feyen, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
 
NOAA’s Implementation of the Three-Dimensional Surge and Tide Operational Forecast System for the Atlantic (STOFS-3D-Atlantic) into An Operational Nowcast/Forecast System (OFS) (1111718)
Zizang Yang1, Gregory N Seroka1, Saeed Moghimi2, Edward Payson Myers III3, Joseph Zhang4, Fei Ye5, HaoCheng Yu5, Linlin Cui5 and Linlin Cui, (1)NOAA National Ocean Service, Silver Spring, United States, (2)NOAA National Ocean Service, Silver Spring, MD, United States, (3)NOAA, NOS/OCS, Silver Spring, MD, United States, (4)Virginia Institute of Marine Science, Gloucester Point, United States, (5)Virginia Institute of Marine Science, Gloucester Point, VA, United States
 
Understanding Water Distribution Network using Complex Network Theory based Weighted Edge Centrality Measure (1116170)
Jyotsna Pandey and Srinivas Venkata Vemavarapu, Indian Institute of Science, Department of Civil Engineering, Bangalore, India
 
A hierarchical temporal scale framework of data-driven reservoir operation modeling (1119132)
Ruijie Zeng, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States and Qianqiu Longyang, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
 
Improved Blended Model Configuration Tested Across the Continental United States (1120369)
Robert Chlumsky, Juliane Mai, James R Craig and Bryan Tolson, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada
 
A New Spin on Global Sensitivity Analysis: Sensitivity Analysis of the SUMMA Model on the Global Scale (1125144)
Hongli Liu1, Martyn P Clark1, Guoqiang Tang1, Wouter Knoben2, Shervan Gharari3, Jim E Freer2, Louise Arnal4 and David Casson2, (1)University of Saskatchewan, Centre for Hydrology, Saskatoon, SK, Canada, (2)University of Saskatchewan, Centre for Hydrology, Canmore, AB, Canada, (3)University of Saskatchewan, Centre for Hydrology, Saskatoon, Canada, (4)University of Saskatchewan, Centre for Hydrology, Canmore, Canada
 
Large Scale Prediction of Channel Roughness Coefficient Using Machine Learning (1126910)
Md Abdullah Al Mehedi1, Shah Afzal Saki2, Krutikkumar Patel3, Sagy Cohen4, Chaopeng Shen5, Adnan Rajib6, Virginia Smith1 and Emmanouil Anagnostou7, (1)Villanova University, Civil and Environmental Engineering, Villanova, PA, United States, (2)University of Connecticut, Civil and Environmental Engineering, Storrs, United States, (3)Texas A&M University - Kingsville, Environmental Engineering, Kingsville, United States, (4)University of Alabama, Geography, Tuscaloosa, United States, (5)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (6)Assistant Professor, Cincinnati, United States, (7)University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States
 
Potential Evapotranspiration Module Parameter Sensitivity Evaluation within the Next Generation Water Resources Modeling Framework (1127833)
Wanru Wu1, Keith Steven Jennings2, Luciana L. Kindl da Cunha3,4, Cham Pham5, Yuqiong Liu1,6, Andy W Wood7,8, Naoki Mizukami8,9, J. Michael Johnson10, Donald W Johnson11, Jonathan M Frame12, Jessica L. Garrett10, Shengting Cui13, Fernando Renzo Salas14, Nels J Frazier2, Fred L. Ogden15 and Trey Flowers16, (1)NOAA/NWS/OWP, Silver Spring, MD, United States, (2)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (3)NOAA Affiliate, WEST Consultants, Boulder, United States, (4)WEST Consultants, Inc., Folsom, United States, (5)NOAA/NWS/NWC, Silver Spring, MD, United States, (6)LEN Technologies, Oak Hill, United States, (7)NOAA Affiliate, Boulder, United States, (8)National Center for Atmospheric Research, Boulder, United States, (9)NOAA Affiliate, Tuscaloosa, United States, (10)NOAA Affiliate, Lynker, Boulder, United States, (11)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (12)University of Alabama, Geological Sciences, Tuscaloosa, United States, (13)NOAA/NWS/National Water Center, Lynker Tech., Tuscaloosa, United States, (14)NOAA/NWS Office of Water Prediction, Geo-Intelligence Division, Tuscaloosa, AL, United States, (15)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (16)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Data Driven Approaches for Estimating River Channel Geometry over the Continental United States (1128898)
Shuyu Y Chang, Pennsylvania State University Main Campus, Geography, University Park, PA, United States, Zahra Ghahremani, Boise State University, Department of Geoscience, Boise, United States, Laura Manuel, Tulane University of Louisiana, River Coastal Science and Engineering, New Orleans, United States, Mohammad Erfani, University of South Carolina Columbia, Civil and Environmental Engineering, Columbia, SC, United States, Kimberly J Van Meter, The Pennsylvania State University, Department of Geography, State College, PA, United States, Ehab A Meselhe, Tulane University of Louisiana, River-Coastal Science and Engineering, New Orleans, LA, United States, Jennifer L Pierce, Boise State University, Boise, ID, United States, Erfan Goharian, University of South Carolina, Civil and Environmental Engineering, Columbia, SC, United States, Sagy Cohen, University of Alabama, Geography, Tuscaloosa, United States and Chaopeng Shen, Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States
 
A mesh independent flow direction model for flow routing (1130147)
Chang Liao1, Donghui Xu2, Tian Zhou1, Darren Engwirda3, Matthew G Cooper4, Gautam Bisht1, Zeli Tan1, Hongyi Li5 and L. Ruby Leung2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (3)NASA GISS, New York City, United States, (4)University of California, Los Angeles, Geography, Los Angeles, CA, United States, (5)University of Houston, Huston, United States
 
Layered Green-Ampt with Redistribution: an efficient, accurate and reliable approximation of the Richards/Richardson equation (1130209)
Peter La Follette1,2, Fred L. Ogden3, Ahmad Jan2,4, Keith Steven Jennings1,4, Rachel McDaniel5, Scott Dale Peckham4,6, Jessica L. Garrett7 and Trey Flowers8, (1)Lynker, Boulder, United States, (2)NOAA - Affiliate, Office of Water Prediction, Tuscaloosa, United States, (3)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (4)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (5)NOAA/NWS/OWP/National Water Center, Tuscaloosa, AL, United States, (6)University of Colorado Boulder, INSTAAR, Boulder, United States, (7)NOAA Affiliate, Lynker, Boulder, United States, (8)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Calibrating Hydrological Models in the Next Generation Water Resources Modeling Framework using a Prototype Model Agnostic Calibration Capability (1130911)
Xia Feng1, Nels J Frazier2, Yuqiong Liu3, Robert Bartel4, Matt Williamson5, Luciana L. Kindl da Cunha6, J. Michael Johnson7, Naoki Mizukami8,9, Jason A Regina5, Keith Steven Jennings2, Brian A. Cosgrove10, Trey Flowers11 and Fred L. Ogden5, (1)NOAA Affiliate, University of Alabama, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (3)NOAA Affiliate, LEN Technologies, Office of Water Prediction, Silver Spring, United States, (4)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (5)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (6)NOAA Affiliate, WEST Consultants, Boulder, United States, (7)NOAA Affiliate, Lynker, Boulder, United States, (8)NOAA Affiliate, Tuscaloosa, United States, (9)National Center for Atmospheric Research, Boulder, United States, (10)NOAA/NWS/OHD, Silver Spring, United States, (11)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Composable National Water Model Simulations Using the CyberWater Modeling Framework (1131771)
Ranran Chen1, Daniel Luna2, Anthony Castronova3, Xu Liang2 and Yao Liang1, (1)Indiana University Purdue University Indianapolis, Department of Computer and Information Science, Indianapolis, IN, United States, (2)University of Pittsburgh, Department of Civil and Environmental Engineering, Pittsburgh, United States, (3)Consortium of Universities for the Advancement of Hydrological Science, Washington, United States
 
A Time Domain Leakage Detection Method for a Simple Pipeline System (1133141)
Sanghyun Kim1, Suwan Park2, Kwangju Kim3, Insu Jang3 and Jungwon Yu3, (1)Pusan National University, Busan, Korea, Republic of (South), (2)Pusan National University, Civil Engineering, Busan, South Korea, (3)ETRI Electrconics and Telecommunications Research Institute, Daejeon, South Korea
 
Pipes and valves failure-impact analysis and prioritization in urban water distribution systems (1147099)
Bahar Adem Beker, Indian Institute of Technology Roorkee, Roorkee, India and Mitthan Lal Kansal, Indian Institute of Technology Roorkee, Water Resources Development & Management, Roorkee, India
 
Exploring Impacts of Model Calibration Strategies on Regionalization within the Next Generation Water Resources Modeling Framework (1147924)
Yuqiong Liu1, Xia Feng2,3, Matt Williamson4, Nels J Frazier3,5, Luciana L. Kindl da Cunha3,6, J. Michael Johnson3,7, Trey Flowers8, Brian A. Cosgrove9 and Fred L. Ogden4, (1)NOAA Affiliate, LEN Technologies, Office of Water Prediction, Silver Spring, United States, (2)NOAA Affiliate, University of Alabama, Tuscaloosa, United States, (3)National Water Center, Tuscaloosa, United States, (4)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (5)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (6)NOAA Affiliate, WEST Consultants, Boulder, United States, (7)NOAA Affiliate, Lynker, Boulder, United States, (8)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (9)NOAA/NWS Office of Water Prediction, Silver Spring, United States
 
Evaluating National Water Model Derived High Water Thresholds Using NWS Storm Data (1148832)
Liliana Hernandez Gonzalez1, Katherine Moore Powell1, Tyler Schrag1, Corey Krewson2 and Jason A Regina2, (1)NOAA Affiliate, Lynker, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Model performance of high flow events using a heterogeneous land surface configuration (1150476)
Rachel McDaniel1, Ahmad Jan2, Peter La Follette3, Yuqiong Liu4, Xia Feng5, Luciana L. Kindl da Cunha6, Keith Steven Jennings7, Matt Williamson8, Fred L. Ogden8 and Trey Flowers9, (1)NOAA/NWS/OWP/National Water Center, Tuscaloosa, AL, United States, (2)Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, United States, (3)NOAA - Affiliate, Office of Water Prediction, Tuscaloosa, United States, (4)NOAA Affiliate, LEN Technologies, Office of Water Prediction, Silver Spring, United States, (5)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (6)NOAA Affiliate, WEST Consultants, Boulder, United States, (7)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (8)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (9)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Error Analysis of Streamflow Forecasts from the National Water Model and Validation of Data Assimilation Approach (1153256)
Sujana Timilsina, University of Texas at Austin, Department of Civil, Architectural and Environmental Engineering, Austin, United States, Paola Passalacqua, University of Texas at Austin, Dept. of Civil, Architectural, and Environmental Engineering, Austin, TX, United States, Matthew David Bartos, Arizona State University, Tempe, AZ, United States, Attila Bibok, KISTERS North America, Orlando, United States and David Maidment, University of Texas at Austin, Center for Research in Water Resources, Austin, TX, United States
 
Identifying Optimal Model Sets and Configurations in the Next Generation Water Resources Modeling Framework (1154707)
Luciana Cunha1, Keith Steven Jennings2, Nels J Frazier3, J. Michael Johnson4, Xia Feng5, Yuqiong Liu6, Naoki Mizukami7, Andy Wood8, Fred L. Ogden9, Jessica L. Garrett4 and Scott Dale Peckham10, (1)WEST Consultants Inc., Folsom, United States, (2)University of Nevada, Reno, Reno, United States, (3)NOAA Affiliate, Lynker, Tuscaloosa, United States, (4)NOAA Affiliate, Lynker, Boulder, United States, (5)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (6)NOAA Affiliate, LEN Technologies, Office of Water Prediction, Silver Spring, United States, (7)National Center for Atmospheric Research, Boulder, United States, (8)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (9)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (10)University of Colorado Boulder, INSTAAR, Boulder, United States
 
Model as a Service and Distributed Model on Demand: Tools to Automate and Abstract Model Development Overhead Tasks (1156219)
Robert Bartel1, Trey Flowers2, Nels J Frazier3,4, Fred L. Ogden4, Christopher Tubbs1 and Matt Williamson4, (1)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (4)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Fitting GIUH Probability Distributions to Observed Data Using Scalar Values to Facilitate Hydrologic Model Calibration (1158740)
Matt Williamson1, Ahmad Jan2,3, Xia Feng4, Nels J Frazier3,5, Luciana L. Kindl da Cunha6,7, Yuqiong Liu8, Keith Steven Jennings3,9, Robert Bartel10, Trey Flowers11 and Fred L. Ogden1, (1)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)NOAA - Affiliate, Office of Water Prediction, Tuscaloosa, United States, (3)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (4)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (5)Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, United States, (6)NOAA Affiliate, WEST Consultants, Boulder, United States, (7)National Water Center, Tuscaloosa, United States, (8)NOAA Affiliate, LEN Technologies, Office of Water Prediction, Silver Spring, United States, (9)Lynker, Boulder, United States, (10)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (11)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Behavioural study of Evapotranspiration time series: Visibility Graph Analysis (1159593)
Vamsi Krishna Gunturu, Indian Institute of Technology Bombay, Mumbai, India, V Jothiprakash, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India and Bellie Sivakumar, Indian Institute of Technology Bombay, Powai, Department of Civil Engineering, Mumbai, India
 
A Novel Combined Framework of Differential Evolution and Krill Herd Algorithm for Design of Large-scale Water Distribution Network (1159931)
S N Poojitha, Indian Institute of Technology Bombay, Civil Engineering, Mumbai, India and V Jothiprakash, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India
 
Evaluating the National Water Model’s Evapotranspiration Representation through Comparison to OpenET (1160152)
Ayman Nassar, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, David Gochis, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States and Forrest S Melton, CSU Monterey Bay, NASA ARC-CREST, Seaside, CA, United States
 
Building a dynamic middleware framework to couple 2D ocean circulation models to the National Water Model (1162903)
Jason Ducker1, Henok Kefelegn1, Hassan Mashriqui2, Js Allen1, Ryan Grout1, Richard Gibbs3, Julio Zyserman1, Saeed Moghimi4, Yuji Funakoshi5, Ali Abdolali6, Andre Jaco Van der Westhuysen7, Trey Flowers1 and Edward P Clark1, (1)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)National Oceanic and Atmospheric Administration (NOAA), Silver Spring, United States, (3)University of Alabama, Tuscaloosa, AL, United States, (4)NOAA National Ocean Service, Silver Spring, MD, United States, (5)University Corporation for Atmospheric Research, Boulder, MD, United States, (6)NOAA, EMC/NCEP/NWS, College PARK, United States, (7)NOAA Environmental Modeling Center, College Park, MD, United States
 
Support for Spatially Gridded, Component-based Models in the Next Generation Water Resources Modeling Framework (1164392)
Scott Dale Peckham1,2, Keith Steven Jennings1, Nels J Frazier1, Matt Williamson3, Fred L. Ogden3 and Trey Flowers4, (1)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (2)University of Colorado Boulder, INSTAAR, Boulder, United States, (3)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (4)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Estimating Flood Relevant Statistics for the U.S. from 40 Years of National Water Model Streamflow (1164809)
Katherine Moore Powell1, Liliana Hernandez Gonzalez1, Tyler Schrag1, Corey Krewson2 and Fernando Renzo Salas2, (1)NOAA Affiliate, Lynker, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
URG-Futures: A Stakeholder-Driven Water Resources Model for Climate Adaptation Planning in the Upper Rio Grande Basin (Invited) (1166194)
Chinedum Eluwa, University of Massachusetts Amherst, Amherst, MA, United States, Casey Brown, University of Massachusetts Amherst, Amherst, United States, Meelisha Maharjan, University of Massachusetts, Amherst, United States, Dagmar Llewellyn, United States Bureau of Reclamation, Albuquerque, NM, United States, Enrique Prunes, World Wildlife Fund, Washington DC, United States and Paul Tashjian, Fish and Wildlife Service, Albuquerque, United States
 
Evaluating Soil Freeze Thaw Approaches for Hydrologic Models Using the Next Generation Water Resources Modeling Framework (1167200)
Ahmad Jan1, Fred L. Ogden2, Luciana L. Kindl da Cunha3, Rachel McDaniel4, Trey Flowers5 and Keith Steven Jennings1, (1)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)NOAA Affiliate, WEST Consultants, Boulder, United States, (4)NOAA/NWS/OWP/National Water Center, Tuscaloosa, AL, United States, (5)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
Improving Water Resources Modeling Efficiency Using Live Data Communication (1173291)
Christopher Tubbs, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Nels J Frazier, NOAA Affiliate, Lynker, Tuscaloosa, United States, Trey Flowers, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States and Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
The NOAA Next Generation Water Resources Modeling Framework Hydrofabric: Version 1.0 (1181341)
J Michael Johnson, NOAA Affiliate, Lynker, Office of Water Prediction, Tuscaloosa, United States, Luciana L. Kindl da Cunha, NOAA Affiliate, WEST Consultants, Boulder, United States, Keith Steven Jennings, NOAA Affiliate, Lynker, Boulder, United States, Nels J Frazier, NOAA Affiliate, Lynker, Tuscaloosa, United States, Richard Gibbs, University of Alabama, Tuscaloosa, AL, United States, Trey Flowers, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States and Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
CIROH Facilitates Research Community Engagement with the Next Generation Water Resources Modeling Framework (Invited) (1184124)
Steven J Burian1, Thomas Martin Graziano2, Edward P Clark3, Fred L. Ogden4, Scott Rayder5, Mike Gremillion6, Sagy Cohen7, James Halgren5 and Ryan Johnson5, (1)University of Alabama, Alabama Water Institute, Tuscaloosa, AL, United States, (2)NOAA, NWS Office of Water Prediction, Silver Spring, MD, United States, (3)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (4)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (5)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (6)University of Alabama, Global Water Security Center, Tuscaloosa, AL, United States, (7)University of Alabama, Geography, Tuscaloosa, United States
 
Flood Inundation Mapping at Large-scales using a Multidisciplinary Machine Learning Approach (1184466)
Martha Farella1, Jared Van Blitterswyk2, Assaad Mrad3, Curtis Smith2, Jinshu Li4 and Mark S Bartlett Jr5, (1)Stantec Consulting Ltd, Digital Solutions, Phoenix, United States, (2)Stantec Consulting Ltd, Winnipeg, Canada, (3)University of California, Irvine, Irvine, CA, United States, (4)University of California Los Angeles, Civil and Environmental Engineering, Los Angeles, CA, United States, (5)Duke University, Civil and Environmental Engineering, Durham, NC, United States
 
Automated Decision Support for Model Selection in the Nextgen National Water Model (1189555)
Qiyue Liu, University of Illinois at Urbana Champaign, Urbana, United States, Lauren Bolotin, San Diego State University, San Diego, CA, United States, Francisco Haces-Garcia, University of Houston, Houston, United States, Mochi Liao, Duke University, Durham, NC, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States and Jonathan M Frame, University of Alabama, Tuscaloosa, United States
 
Development of A Compound Flood Modeling System for the COASTAL Act Program (1196810)
Henok Kefelegn1, Hassan Mashriqui2, Js Allen1, Jason Ducker1, Ryan Grout1, Richard Gibbs3, Julio Zyserman1, Saeed Moghimi4, Yuji Funakoshi5, Ali Abdolali6, Andre Jaco Van der Westhuysen7, Trey Flowers1 and Edward P Clark1, (1)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)National Oceanic and Atmospheric Administration (NOAA), Silver Spring, United States, (3)University of Alabama, Tuscaloosa, AL, United States, (4)NOAA National Ocean Service, Silver Spring, MD, United States, (5)University Corporation for Atmospheric Research, Boulder, MD, United States, (6)NOAA, EMC/NCEP/NWS, College PARK, United States, (7)NOAA Environmental Modeling Center, College Park, MD, United States
 
Exploring the Benefits of Machine Learning: Improving Stormflow Predictions using Long Short-Term Memory Networks (1197251)
Jessica L. Garrett, Lynker, Boulder, United States, Luciana L. Kindl da Cunha, NOAA Affiliate, WEST Consultants, Boulder, United States, Trey Flowers, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, Nels J Frazier, NOAA Affiliate, Lynker, Tuscaloosa, United States, Ahmad Jan, Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, United States, Keith Steven Jennings, University of Nevada, Reno, Reno, United States, J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States and Jonathan M Frame, California State University Monterey Bay, Seaside, CA, United States; University of Alabama, Tuscaloosa, United States
See more of: Hydrology