AGU Fall Meeting 2022
Join Lynker at Booth #1640!
AGU (American Geophysical Union) Fall Meeting is the most influential event in the world dedicated to the advancement of Earth and space sciences.
Every year, AGU Fall Meeting convenes >25,000 attendees from 100+ countries to share research and network. Researchers, scientists, educators, students, policymakers, enthusiasts, journalists and communicators attend AGU Fall Meeting to better understand our planet and environment, and our role in preserving its future. It is a results-oriented gathering rooted in celebrating and advancing positive individual and collective outcomes.
Lynker Exhibit Booth Information
Booth #1640
Exhibit Booth Hours:
Monday: 3:00 pm – 6:00 pm
Tuesday: 10:00 am – 6:00 pm
Wednesday: 10:00 am – 6:00 pm
Thursday: 10:00 am – 1:00 pm
Lynker Sponsorships
Science Solutions Presentation
Title: From the Mountains to the Sea: Development of the National Water Model
Presenters:
Graeme Aggett, PhD, Principal and Chief Scientist
Nels Frazier, Lead Technical Architect
Ryan Spies, Water Resources Scientist
Keith Jennings, Water Resources Scientist
Fernando Aristizabal, Sr. Research Scientist
Julio Zyserman, Coastal Scientist
Time: Tuesday Dec 13th from 3:15CT – 4:15CT
Location: AGU Theater
Description:
Lynker is involved in and is in many cases leading many key components of National Water Model development. This presentation will introduce aspects of the National Water Model to AGU conference attendees in a modular manner that will help the audience better understand scientific and technical aspects of the NWM, and to better appreciate how the revolutionary set of information and services flowing from the NWC, harnessing the power of a fully realized NWM, will fundamentally change the face of water prediction for this Nation. This new intelligence will transform decision-making to help the Nation face the water challenges of tomorrow.
Fireside Chat Career Center Sponsorship
Title: Lynker Career Growth Opportunities & Open Positions
Presenters:
Fernando Aristizabal, Senior Research Scientist, Lynker
Ryan Spies, Water Resources Scientist, Lynker
Day/Time: Wednesday, Dec 14th 3:00CT -3:30CT
Location: AGU Career Center
Description: We will discuss how Lynker supports the career growth of our employees. Our goal at Lynker is to provide careers for our employees and the training resources to support them. We will also discuss some current open positions. The Lynker team is seeking computer scientists and hydrologists to contribute to the development and deployment of continental-scale operational flood inundation products using open-source geospatial tools and high-resolution forecast products such as NOAA’s National Water Model. Our R&D team is also seeking data scientists to explore new techniques to enhance spatial and temporal evaluation techniques using remotely sensed data to improve the accuracy and timeliness of inundation forecasts.
Lynker Presentations
Monday, December 12th:
10:00am-1:30pm: Keith Jennings “Development of Snow Data Assimilation Systems for Water Resources Applications at Local to Global Scales” McCormick Place – Poster Hall, Hall – A
10:30am-10:40am: Gyami Shrestha “From Carbon Budgets to Carbon Dioxide Removal: 23+ Years of Federally Funded Science Coordination Efforts with the Community” McCormick Place – N426ab
1:45- 2:45PM: Gyami Shrestha “A Multi-Agency Perspective on Carbon Dioxide Removal Research: Mobilizing the U.S. Research Community and Government Actions Based on Science, Online
1:45pm-2:45pm: Keith Jennings “NOAA’s National Water Center: Programmatic Update and Opportunities for Collaboration”, McCormick Place – S102ab (South, Level 1)
3:45pm-3:55pm: Michael Johnson “Assessing the Significance of Spatial Allocation and Resampling Algorithm of Landcover Input in Hydrometeorological Model (WRF-Hydro/Noah-MP) Simulating Watershed Responses” McCormick Place – E265
3:45pm-7:15pm: **POSTER Michael Johnson “The Reference Fabric: An Integrated Hydrographic Features Collaboration that Advances Data Governance, Indexing, and Hydroscience Technologies” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Keith Jennings, Jessica Garrett, Michael Johnson, Josh Sturtevant, Graeme Aggett “Machine Learning Suggests a Limit to Rain-Snow Partitioning Accuracy when Using Near-Surface Meteorology” McCormick Place – Poster Hall, Hall – A
4:55pm-5:05pm: Josh Sturtevant “A new process-oriented ensemble hydrological prediction system for flood prediction and water management in the US Pacific Northwest” McCormick Place – E265
6:05pm-6:15pm: Keith Jennings, Jessica Garrett, Michael Johnson, Ahmad Jan, Nels Frazier, Graeme Aggett, Luciana Cunha (Lynker team subcontractor), Scott D Peckham (Lynker team subcontractor) “Deploying Coupled Snow and Runoff Models in the Next Generation Water Resources Modeling Framework” McCormick Place – E258
Tuesday, December 13th:
10:00am-11:30am: Gyami Shrestha “Science-Based Carbon Removal Strategies: Monitoring, Measurements, Reporting, and Verification Across Terrestrial, Atmospheric, Oceanic, and Societal Dimensions I Oral” McCormick Place – S405b
12:00pm-1:30pm: Gyami Shrestha “Science-Based Carbon Removal Strategies: Monitoring, Measurements, Reporting, and Verification Across Terrestrial, Atmospheric, Oceanic, and Societal Dimensions II Oral” McCormick Place – S405b
2:45pm-3:45pm: Gyami Shrestha “Science-Based Carbon Removal Strategies: Monitoring, Measurements, Reporting, and Verification Across Terrestrial, Atmospheric, Oceanic, and Societal Dimensions III Online Poster Discussion” ONLINE
3:45pm-3:55pm: Michael Johnson, Jim Coll “Introducing a building level, continental scale, flood risk forecast system” McCormick Place – E451a
3:45pm-7:15pm: **POSTER Gyami Shrestha “Science-Based Carbon Removal Strategies: Monitoring, Measurements, Reporting, and Verification Across Terrestrial, Atmospheric, Oceanic, and Societal Dimensions IV Poster” McCormick Place – Poster Hall, Hall – A (South, Level 3)
Wednesday, December 14th:
10:50am-11:00am: Keith Jennings, Josh Sturtevant “Scaling from regional to national: Evaluating the engagement strategy of Mountain Rain or Snow” McCormick Place – N426ab
12:10pm-12:20pm: Fernando Aristizabal “Identifying the Optimal Spatial Resolution of LiDAR Derived Elevation Data for Continental Scale Flood Inundation Mapping Applications” McCormick Place – E451a
3:45pm-7:15pm: **POSTER Michael Johnson, Jim Coll “An Intercomparison of Geospatial Flood Mapping Methods using NWM Streamflow Forecasts” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER James Ward, Freddy Camacho, Sunghee Kim, Behzad Asadieh, Haksu Lee (Lynker Team subcontractor) “Using hydrologic forecasts from the Hydrologic Ensemble Forecast Service for Forecast Informed Reservoir Operations (FIRO)” McCormick Place – Poster Hall, Hall – A
Thursday. December 15th:
9:00am-10:00am: Bill Szafranski “On the Importance of Forecast Skill and Water Trade in Drought Mitigation” ONLINE
1:10pm-1:20pm: Jim Coll “Spatial-temporal Capability of IMERG Gridded Precipitation Dataset for Estimating Probable Maximum Precipitation” McCormick Place – E353c
2:57pm-3:03pm: Nels Frazier, Michael Johnson, Keith Jennings, Luciana Cunha (Lynker team subcontractor) “Calibrating Hydrological Models in the Next Generation Water Resources Modeling Framework using a Prototype Model Agnostic Calibration Capability” ONLINE
3:03pm-3:09pm: Keith Jennings, Michael Johnson, Shengting Cui, Nels Frazier “Potential Evapotranspiration Module Parameter Sensitivity Evaluation within the Next Generation Water Resources Modeling Framework” ONLINE
3:45pm-7:15pm: **POSTER Katherine Powell “Estimating Flood Relevant Statistics for the U.S. from 40 Years of National Water Model Streamflow” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Ahmad Jan, Keith Jennings, Luciana Cunha (Lynker team subcontractor) “Evaluating Soil Freeze Thaw Approaches for Hydrologic Models Using the Next Generation Water Resources Modeling Framework” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Nels Frazier “Improving Water Resources Modeling Efficiency Using Live Data Communication” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Peter La Follette, Ahmad Jan, Keith Jennings, Jessica Garrett “Layered Green-Ampt with Redistribution: an efficient, accurate and reliable approximation of the Richards/Richardson equation” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Keith Jennings, Nels Frazier, Scott D Peckham (Lynker team subcontractor) “Support for Spatially Gridded, Component-based Models in the Next Generation Water Resources Modeling Framework” McCormick Place – Poster Hall, Hall – A
3:45pm-7:15pm: **POSTER Nels Frazier, Shengting Cui, “Domain and Formulation Scalability of the Next Generation National Water Model Framework – Poster Hall, Hall A
3:45pm-7:15pm: **POSTER Nels Frazier, “Model as a Service and Distributed Model on Demand: Tools to Automate and Abstract Model Development Overhead Tasks” – Poster Hall, Hall A
3:45pm – 7:15pm: **POSTER Ahmad Jan, Nels Frazier, Luciana Cunha, Yuqiong Liu, Keith Jennings, “Fitting GIUH Probability Distributions to Observed Data Using Scalar Values to Facilitate Hydrologic Model Calibration”, Poster Hall, Hall A
4:15pm-4:25pm: Sunghee Kim “An Investigation of Reforecast Thinning as a Strategy to Support Calibration and Validation of the Hydrologic Ensemble Forecast Service at Reduced Cost” McCormick Place – E451b
6:35pm-6:45pm: Fernando Aristizabal, “Satellite-Based Flood Inundation Mapping: A Multi-Regional Evaluation of VIIRS and SAR Products”, McCormick Place – E258 (Lakeside, Level 2)
6:45-6:55pm: Tyler Schrag (Lynker Subcontractor) “Old-School Cool – Utilizing SQL to Simplify and Optimize National Water Model Data Pipelines” McCormick Place – E252
Friday, December 16th:
10:30am-10:40am: Michael Johnson, Keith Jennings, Nels Frazier, Luciana Cunha (Lynker team subcontractor) “The NOAA Next Generation Water Resources Modeling Framework Hydrofabric: Version 1.0” McCormick Place – E352
11:00am-11:10am: Jessica Garrett, Keith Jennings, Michael Johnson, Luciana Cunha (Lynker team subcontractor), Scott D Peckham (Lynker team subcontractor) “Exploring the Benefits of Machine Learning: Improving Stormflow Predictions using Long Short-Term Memory Networks” McCormick Place – E352
11:10am-11:20am: Nels Frazier, Michael Johnson, Yuqiong Liu (Lynker team subcontractor), Luciana Cunha (Lynker team subcontractor) “Exploring Impacts of Model Calibration Strategies on Regionalization within the Next Generation Water Resources Modeling Framework” McCormick Place – E352
12:00pm-12:10pm: Henok Kefelegn, PhD “1196810: Development of A Compound Flood Modeling System for the COASTAL Act Program” McCormick Place – E352
12:00pm-1:30pm: Michael Johnson “Innovations in Operational Flood Forecasting, Real-Time Response, and Risk Mitigation” McCormick Place – E450b
12:50pm – 1:00PM: Qi Shi, Henok Kefelegn “Evaluation of a Total Water Level Forecasting Capability for the National Water Model (NWM) V3.0” McCormick Place – E352 (Lakeside, Level 3)
2:45pm-3:45pm: Michael Johnson “Innovations in Operational Flood Forecasting, Real-Time Response, and Risk Mitigation II Online Poster Discussion”
2:59PM – 3:06PM: Michael Johnson “Utility of Satellite-based remotely sensed streamflow in a spatio-temporal hierarchical model for improving NWM forecasts” ONLINE
3:45pm-7:15PM: Michael Johnson “Innovations in Operational Flood Forecasting, Real-Time Response, and Risk Mitigation III Poster – McCormick Place – Poster Hall, Hall A, South Level 3
3:55pm-4:05pm: Liliana Gonzalez, Katherine Powell, Tyler Schrag “Evaluating National Water Model Derived High Water Thresholds Using NWS Storm Data” McCormick Place – E352
4:35pm-4:45pm: Ahmad Jan, Peter La Follette, Yuqiong Liu, Keith Jennings, Luciana Cunha (Lynker team subcontractor) “Model performance of high flow events using a heterogeneous land surface configuration” McCormick Place – E352
4:55pm-5:05pm: Luciana Cunha (Lynker team subcontractor), Keith Jennings, Michael Johnson, Nels Frazier, Yuqiong Liu (Lynker team subcontractor), Jessica Garrett, Scott D Peckham (Lynker team subcontractor) “Identifying Optimal Model Sets and Configurations in the Next Generation Water Resources Modeling Framework” McCormick Place – E352 (Lakeside, Level 3)
Lynker Abstract Submissions
| C15C-0606Machine Learning Suggests a Limit to Rain-Snow Partitioning Accuracy when Using Near-Surface Meteorology; Keith Steven Jennings1, Meghan Collins2, Monica M Arienzo3, Anne Walden Nolin4, Benjamin Hatchett5, Jessica L. Garrett1, Michael Johnson1, Josh Sturtevant1, Graeme R Aggett6 and Mountain Rain or Snow Citizen Scientists, (1)Lynker, Boulder, United States, (2)Desert Research Institute Reno, Reno, NV, United States, (3)Desert Research Institute Reno, Reno, United States, (4)University of Nevada Reno, Geography, Reno, United States, (5)Desert Research Institute, Reno, United States, (6)Lynker, Boulder, CO, United States |
| H16F-03Deploying Coupled Snow and Runoff Models in the Next Generation Water Resources Modeling Framework; Keith Steven Jennings1,2, Luciana L. Kindl da Cunha3, Naoki Mizukami4,5, Zhengtao Cui6, Andy W Wood4,7, Jessica L. Garrett8, Michael Johnson9, Wanru Wu10, Scott Dale Peckham2,11, Rachel McDaniel12, Ahmad Jan2,13, Nels J Frazier2, Matt Williamson14, Donald W Johnson15, Fred L. Ogden14, Trey Flowers16 and Graeme R Aggett17,18, (1)Lynker, Boulder, United States, (2)NOAA Affiliate, Lynker Tech., Office of Water Prediction, Tuscaloosa, United States, (3)NOAA Affiliate, WEST Consultants, Boulder, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)NOAA Affiliate, Tuscaloosa, United States, (6)NOAA/NWS/OWP, Silver Spring, MD, United States, (7)NOAA Affiliate, Boulder, United States, (8)NOAA Affiliate, Lynker, Boulder, United States, (9)NOAA Affiliate, Lynker, Fort Collins, United States, (10)NOAA/NWS/OHD-Hydrology Lab, Silver Spring, MD, United States, (11)University of Colorado Boulder, INSTAAR, Boulder, United States, (12)NOAA/NWS/OWP/National Water Center, Tuscaloosa, AL, United States, (13)NOAA – Affiliate, Office of Water Prediction, Tuscaloosa, United States, (14)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (15)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (16)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (17)Lynker, Boulder, CO, United States, (18)NOAA Affiliate, Office of Water Prediction, Tuscaloosa, United States |
| H35L-1279Using hydrologic forecasts from the Hydrologic Ensemble Forecast Service for Forecast Informed Reservoir Operations (FIRO); Hak Su Lee1,2, James Ward3,4, Freddy Camacho3,4, Yuqiong Liu2,3, Sunghee Kim1,4, James D Brown5, Behzad Asadieh1,4, Mark A Fresch1, Hank Herr3, Ernie Wells6, Adao Henrique Matonse7, Jerry Mead7, Brett Whitin8, Chris Delaney9, Erick Boehmler10, Seann M Reed11 and Tyler Madsen11, (1)NOAA/NWS/OWP, Silver Spring, United States, (2)LEN Technologies, Oak Hill, United States, (3)NOAA/NWS/OWP, Silver Spring, MD, United States, (4)Lynker, Leesburg, United States, (5)Hydrologic Solutions Limited, Southampton, United Kingdom, (6)NOAA/NWS, Analyze, Forecast and Support Office, Silver Spring, United States, (7)NYC Department of Environmental Protection, Queens, United States, (8)NOAA/NWS California-Nevada River Forecast Center, Sacramento, CA, United States, (9)Center for Western Weather and Water Extremes, University of California, San Diego, La Jolla, United States, (10)NOAA/NWS Northeast River Forecast Center, Norton, United States, (11)NOAA/NWS Middle Atlantic River Forecast Center, State College, United States |
| H45F-04An Investigation of Reforecast Thinning as a Strategy to Support Calibration and Validation of the Hydrologic Ensemble Forecast Service at Reduced Cost; Sunghee Kim, James D. Brown3, Mark A Fresch1 and Ernie Wells4, (1)NOAA/NWS/OWP, Silver Spring, United States, (2)Lynker Technologies, Leesburg, United States, (3)Hydrologic Solutions Limited, Southampton, United Kingdom, (4)NOAA/NWS, Analyze, Forecast and Support Office, Silver Spring, United States |
| H15D-08A new process-oriented ensemble hydrological prediction system for flood prediction and water management in the US Pacific Northwest; Andrew W Wood1, Josh Sturtevant2, Chris D Frans3, Naoki Mizukami4, Bart Nijssen5 and Jane Harrell3, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Lynker, Boulder, United States, (3)US Army Corps of Engineers, Seattle, WA, United States, (4)National Center for Atmospheric Research, Boulder, United States, (5)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States |
| SY32A-06Scaling from regional to national: Evaluating the engagement strategy of Mountain Rain or Snow; Meghan Collins, Desert Research Institute Reno, Reno, NV, United States, Monica M Arienzo, RSMAS, Miami, United States, Sonia Nieminen, Desert Research Institute Reno, Reno, United States, Benjamin Hatchett, Desert Research Institute, Reno, United States, Keith Steven Jennings, University of Nevada, Reno, Reno, United States, Anne Walden Nolin, University of Nevada Reno, Geography, Reno, United States and Josh Sturtevant, Lynker, Boulder, United States |
| GC41G-02On the Importance of Forecast Skill and Water Trade in Drought Mitigation; Hannah Kamen1, Jared Carbone1, Ben Livneh2, Eric E Small3, Parthkumar Modi4, Cam Wobus5 and Bill Szafranski6, (1)Colorado School of Mines, Division of Economics and Business, Golden, CO, United States, (2)Western Water Assessment, Boulder, United States, (3)University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, (4)University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering, Boulder, CO, United States, (5)CK Blueshift, Boulder, CO, United States, (6)Lynker Technologies, Boulder, CO, United States |
| H12L-0831Development of Snow Data Assimilation Systems for Water Resources Applications at Local to Global Scales; Eric E Small, University of Colorado at Boulder, Department of Geological Sciences, Boulder, United States, Mark S Raleigh, Oregon State University, Corvallis, OR, United States, Jordan Herbert, University of Colorado at Boulder, Boulder, United States, Bareera Mirza, Oregon State University, Corvallis, United States, Page Weil, Lynker, Boulder, CO, United States, Keith Steven Jennings, Lynker, Boulder, United States and Cameron W Wobus, CK Blueshift, LLC, Phoenix, United States |
| H46D-06Satellite-Based Flood Inundation Mapping: A Multi-Regional Evaluation of VIIRS and SAR Products; Efthymios Ioannis Nikolopoulos, Rutgers University New Brunswick, Civil and Environmental Engineering, New Brunswick, NJ, United States, Pramod Pandey, Florida Institute of Technology, Melbourne, United States, Emanuel Storey, San Diego State University, Geography, San Diego, CA, United States, Qingyuan Zhang, University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, Josef Kellndorfer, NOAA Center for Satellite Applications and Research, College Park, United States, Wei Hao, NOAA Center for Satellite Applications and Reserch, College Park, United States, Fernando Aristizabal, Lynker, Leesburg, United States, William C. Straka, University of Wisconsin Madison, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States, Sanmei Li, George Mason University Fairfax, Fairfax, VA, United States, Sean Helfrich, NESDIS, NOAA, Center for Satellite Applications and Research, College Park, United States and Witold F Krajewski, University of Iowa, Iowa City, United States |
| H25B-01Introducing a building level, continental scale, flood risk forecast system; J Michael Johnson, NOAA Affiliate, Lynker, Office of Water Prediction, Tuscaloosa, United States, James Matthew Matthew Coll, NOAA Affiliate, Lynker, Lawrence, United States, Shiqi Fang, North Carolina State University Raleigh, Raleigh, NC, United States and Justin SinghMohudpur, University of California Santa Barbara, Geography, Santa Barbara, United States |
| H35I-1218An Intercomparison of Geospatial Flood Mapping Methods using NWM Streamflow Forecasts; James Matthew Matthew Coll, University of Alabama, Tuscaloosa, AL, United States and J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States |
| H43C-07Spatial-temporal Capability of IMERG Gridded Precipitation Dataset for Estimating Probable Maximum Precipitation; Kenneth Ekpetere1, James Matthew Matthew Coll2, Xingong Li1, Jude Kastens3 and David B Mechem3, (1)University of Kansas, Lawrence, United States, (2)NOAA Affiliate, Lynker, Lawrence, United States, (3)University of Kansas, Lawrence, KS, United States |
| H44C-03Calibrating Hydrological Models in the Next Generation Water Resources Modeling Framework using a Prototype Model Agnostic Calibration Capability; 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 |
| H44C-04Potential Evapotranspiration Module Parameter Sensitivity Evaluation within the Next Generation Water Resources Modeling Framework; 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 |
| H45I-1492Layered Green-Ampt with Redistribution: an efficient, accurate and reliable approximation of the Richards/Richardson equation; 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 |
| H45I-1496Fitting GIUH Probability Distributions to Observed Data Using Scalar Values to Facilitate Hydrologic Model Calibration; 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 |
| H45I-1499Support for Spatially Gridded, Component-based Models in the Next Generation Water Resources Modeling Framework; 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 |
| H45I-1501Evaluating Soil Freeze Thaw Approaches for Hydrologic Models Using the Next Generation Water Resources Modeling Framework; 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 |
| H52B-04The NOAA Next Generation Water Resources Modeling Framework Hydrofabric: Version 1.0; 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 |
| H52B-07Exploring the Benefits of Machine Learning: Improving Stormflow Predictions using Long Short-Term Memory Networks; 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 |
| H55E-06Model performance of high flow events using a heterogeneous land surface configuration; 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 |
| H55E-08Identifying Optimal Model Sets and Configurations in the Next Generation Water Resources Modeling Framework; 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 |
| SY32A-06Scaling from regional to national: Evaluating the engagement strategy of Mountain Rain or Snow; Meghan Collins, Desert Research Institute Reno, Reno, NV, United States, Monica M Arienzo, RSMAS, Miami, United States, Sonia Nieminen, Desert Research Institute Reno, Reno, United States, Benjamin Hatchett, Desert Research Institute, Reno, United States, Keith Steven Jennings, University of Nevada, Reno, Reno, United States, Anne Walden Nolin, University of Nevada Reno, Geography, Reno, United States and Josh Sturtevant, Lynker, Boulder, United States |
| H32T-1174River Networks as Rooted, Binary Tree Graphs: Mathematical Results for a Flexible, New Random Tree Model; Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States |
| H45I-1500Estimating Flood Relevant Statistics for the U.S. from 40 Years of National Water Model Streamflow; Katherine Moore Powell1,2, Liliana Hernandez Gonzalez1, Tyler Schrag1, Corey Krewson3 and Fernando Renzo Salas3, (1)NOAA Affiliate, Lynker, Geo-Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (2)NOAA, Lynker Affiliate, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States |
| H55E-02Evaluating National Water Model Derived High Water Thresholds Using NWS Storm Data, Liliana Hernandez Gonzalez1, Katherine Moore Powell1, Tyler Schrag1, Corey Krewson2 and Jason A Regina2, (1)NOAA Affiliate, Lynker, Geo-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 |
| H45I-1489Domain and Formulation Scalability of the Next Generation National Water Model Framework; 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 |
| H45I-1495Model as a Service and Distributed Model on Demand: Tools to Automate and Abstract Model Development Overhead Tasks; 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 |
| H45I-1502Improving Water Resources Modeling Efficiency Using Live Data Communication; 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 |
| H52B-08Exploring Impacts of Model Calibration Strategies on Regionalization within the Next Generation Water Resources Modeling Framework; 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 |
| H54F-03Utility of Satellite-based remotely sensed streamflow in a spatio-temporal hierarchical model for improving NWM forecasts; Shiqi Fang, North Carolina State University Raleigh, Raleigh, NC, United States, Sankar Arumugam, North Carolina State Univ, Raleigh, NC, United States, Michael Johnson, NOAA Affiliate, Lynker, Fort Collins, United States and Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States |
| B11F-04Warming or Cooling? The Impact of Extreme Summer Rainfall on Permafrost Soils; Alexandra Hamm1, Rúna Magnússon2, Ahmad Jan3 and Andrew Frampton1, (1)Stockholm University, Stockholm, Sweden, (2)Wageningen University and Research Center, Wageningen, Netherlands, (3)Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, United States |
| H16G-03Coupled Process Simulations Indicate that Subsidence Will Accelerate Permafrost Thaw and Lead to Drier Tundra; Scott L Painter1, Ethan Coon2, Ahmad Jan2 and Julie D Jastrow3, (1)Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, United States, (3)Argonne National Laboratory, Environmental Science Division, Lemont, United States |
| H15D-01Assessing the Significance of Spatial Allocation and Resampling Algorithm of Landcover Input in Hydrometeorological Model (WRF-Hydro/Noah-MP) Simulating Watershed Responses; Dong-Hyun Kim, San Diego State University, Department of Geography, San Diego, CA, United States, J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States and Hilary K McMillan, San Diego State University, San Diego, CA, United States |
| H15M-0959The Reference Fabric: An Integrated Hydrographic Features Collaboration that Advances Data Governance, Indexing, and Hydroscience Technologies; Andrew Raymond Bock, USGS Colorado Water Science Center Golden, Golden, CO, United States, David L Blodgett, USGS, Baltimore, MD, United States, J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States, Michael Wieczorek, U.S. Geological Survey, Maryland-Delaware-D.C. Water science Center, Baltimore, MD, United States and Marilyn Santiago, USGS Caribbean-Florida Water Science Center, Guaynabo, United States |
| H35I-1218An Intercomparison of Geospatial Flood Mapping Methods using NWM Streamflow Forecasts; James Matthew Matthew Coll, University of Alabama, Tuscaloosa, AL, United States and J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States |
| IN46A-02HydroVIS – Providing a Cloud Based Framework for Processing and Synthesizing Large Scale Model Outputs into Actionable Intelligence; Corey Krewson, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Tyler Schrag, NOAA Affiliate, Lynker, Geo-Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States and Fernando Renzo Salas, NOAA/NWS Office of Water Prediction, Geo-Intelligence Division, Tuscaloosa, AL, United States |
| IN46A-07Old-School Cool – Utilizing SQL to Simplify and Optimize National Water Model Data Pipelines; Tyler Schrag1, Corey Krewson2 and Fernando Renzo Salas2, (1)NOAA Affiliate, Lynker, Geo-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 |
| H53B-06Evaluation of a Total Water Level Forecasting Capability for the National Water Model (NWM) V3.0; Qi Shi1, Camaron George2, Tayebeh Sangchoulie3, Henok Kefelegn4, Hassan Mashriqui5, Js Allen4, Richard Gibbs3, Brian A. Cosgrove6 and Trey Flowers4, (1)Lynker, Leesburg, United States, (2)University of Alabama, Tuscaloosa, United States, (3)University of Alabama, Tuscaloosa, AL, United States, (4)NOAA Office of Water Prediction, National Water Center, Tuscaloosa, United States, (5)National Oceanic and Atmospheric Administration (NOAA), Silver Spring, United States, (6)NOAA/NWS/OHD, Silver Spring, United States |