H121
Continental-Scale Water Prediction: Improving Skill and Promoting Community Engagement II

Friday, 11 December 2020: 10:30-11:30
Virtual
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, Harry L Jenter, USGS, Reston, VA, United States and Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Primary Liaison:  Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
Chairs:  Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Patrick Burke, NOAA/NOS/CO-OPS, Silver Spring, MD, United States, Harry L Jenter, USGS, Reston, VA, United States and Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
OSPA Liaison:  Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
10:30
H121-01
End-User Driven Streamflow Forecast Evaluation (Invited) (749392)
Katie van Werkhoven1, Michael Thiemann2, Michele Eddy1 and Paul D. Micheletty1, (1)Research Triangle Institute, Research Triangle Park, NC, United States, (2)Research Triangle Institute, Fort Collins, CO, United States
10:34
H121-02
Evaluation of High-Resolution Simulated Runoff in the Midwest using the National Water Model (694619)
Lindsay Fitzpatrick1, Yao Hu2, Lauren Fry3, Lacey Mason3, Laura Read4, Dustin Goering5 and Andrea Thorstensen5, (1)Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States, (2)University of Delaware, Newark, DE, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)University Corporation for Atmospheric Research, Boulder, United States, (5)NOAA/NWS/North Central River Forecast Center, Chanhassen, MN, United States
10:38
H121-03
An assessment of the Strengths and Limitations of the National Water Model Snow Representation against In-Situ Measurements, Remote Sensing Products, and Assimilated Data (742234)
Irene Garousi Nejad and David G Tarboton, Utah State University, Logan, UT, United States
10:42
H121-04
Next-Generation Water Resources Modeling System: A Community Research, Development, Testing and Operations Software Framework (771568)
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, Edward P Clark, NOAA, NWS Office of Water Prediction, Tuscaloosa, AL, United States, Trey Flowers, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Nels J J Frazier, CyberData Technologies, Hendon, VA, United States, Thomas Martin Graziano, NOAA, NWS Office of Water Prediction, Silver Spring, MD, United States, Christopher Massey, U.S. Army Engineers Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, Gaurav Savant, Dynamic Solutions LLC, Vicksburg, MS, United States, Jane McKee Smith, ERDC, Vicksburg, MS, United States and Ty V. Wamsley, US Army Corps of Engineers, Engineer Research & Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
10:46
H121-05
The importance of shared concepts: hydro-informatics standards promote Interoperability and integration in development of a versatile water-resources modeling system (763788)
David L Blodgett, USGS Headquarters, Reston, VA, United States, Donald W Johnson, NOAA Affiliate, Tech Global, Office of Water Prediction, National Water Center, Analysis and Prediction Division, Tuscaloosa, AL, United States, Nels J J Frazier, CyberData Technologies, Hendon, VA, United States and Fred Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
10:50
H121-06
Post-Processing the U.S. National Water Model with a Long Short-Term Memory Network (731201)
Jonathan M Frame1, Grey Stephen Nearing2, Frederik Kratzert3, Arthur Austin Raney II1, Mashrekur Rahman1,4 and Fernando Renzo Salas5, (1)University of Alabama, Tuscaloosa, AL, United States, (2)Upstream Tech, Tuscaloosa, AL, United States, (3)Johannes Kepler University, Institute for Machine Learning, Linz, Austria, (4)Tuscaloosa, AL, United States, (5)NOAA National Water Center, Tuscaloosa, AL, United States
10:54
H121-07
A post-processing method to calibrate large-scale hydrologic models with limited historical observation data leveraging machine learning and spatial analysis (742306)
Riley Hales1, Jorge Luis Sanchez2, Jim Nelson3, Gustavious P Williams4, Daniel P Ames4 and Norm Jones4, (1)Brigham Young University, Civil & Environmental, Provo, UT, United States, (2)Brigham Young University, Civil & Environmental Engineering, Provo, UT, United States, (3)Brigham Young University, Civil and Environmental Engineering, Provo, UT, United States, (4)Brigham Young University, Provo, UT, United States
10:58
H121-08
Cloud software for enabling community-oriented integrated hydrologic modeling (757619)
Anthony M Castronova1, Danielle Tijerina2, Scott Black3, David G Tarboton4, Laura E Condon5, Hoang Tran6, Ahmad Rezaii7, Catherine Olschanowsky8, Shweta Purawat9, Jerad Bales1, Michelle Strout10, Ilkay Altintas9, Lisa Gallagher11 and Reed M Maxwell12, (1)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, (2)Colorado School of Mines, Golden, CO, United States, (3)Utah State University, Utah Water Research Laboratory, Logan, United States, (4)Utah State University, Logan, UT, United States, (5)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (6)Colorado School of Mines, Department of Geology and Geological Engineering, Golden, CO, United States, (7)Boise State University, Boise, United States, (8)Boise State University, Computer Science, Boise, ID, United States, (9)University of California San Diego, La Jolla, CA, United States, (10)University of Arizona, Computer Science, Tucson, AZ, United States, (11)Colorado School of Mines, Integrated Groundwater Modeling Center, Golden, CO, United States, (12)Princeton University, Princeton, NJ, United States
11:02
Discussion and Concluding Remarks
See more of: Hydrology
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