H42B:
Forecasting Hydrology at Continental Scale I
Submit an Abstract to this Session
Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.
Session ID#: 16863
Session Description:
Advances in computing power, data services and development of continental scale geofabrics of terrain, hydrography, and the subsurface are transforming hydrologic forecasting by enabling modelling of the continuum of water flow from the atmospheres to the ocean. The National Water Center within NOAA has implemented a new National Water Model (NWM) for the U.S. with the goal of producing real-time analyses and predictions of terrestrial hydrologic conditions. Version 1 of the NWM ingests meteorological forcing data from operational radar and operational weather prediction models to generate analyses and forecasts of gridded terrestrial hydrologic variables and river channel variables for 2.7 million river reaches. Papers are solicited that examine forecasting skill of continental scale hydrologic models used in flood and water resources forecasting and drought management. Examples applications of the NWM are encouraged to explore the interaction between research and operations as the NWM becomes operational in summer 2016.
Primary Convener: David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States
Conveners: Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States, Brian A. Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States and David R Maidment, CRWR, Austin, United States
Chairs: Brian A. Cosgrove, National Weather Service Silver Spring, Silver Spring, MD, United States and David R Maidment, CRWR, Austin, United States
OSPA Liaison: Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Abstracts Submitted to this Session:
Albrecht Weerts, Deltares, Operational Water Management & Early Warning, Delft, Netherlands; Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, Jaap Schellekens, Deltares, Delft, Netherlands, Albert van Dijk, Australian National University, Canberra, Australia and Roy Molenaar, Wageningen University and Research Center, Hydrology, Wageningen, Netherlands; Wageningen University and Research Center, Hydrology and, Wageningen, Netherlands
Stephan Thober1, Naoki Mizukami2, Luis Samaniego3, Sabine Attinger4, Martyn P Clark5 and Matthias Cuntz1, (1)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (2)NSF National Center for Atmospheric Research, Boulder, United States, (3)Helmholtz Centre for Environmental Research UFZ Leipzig, Computation Hydrosystems, Leipzig, Germany, (4)Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany, (5)National Center for Atmospheric Research, Boulder, United States
Eric F Wood1, Ming Pan2, Xitian Cai1 and Nathaniel W. Chaney3, (1)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (2)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, (3)Duke University, Durham, United States
Vincent Fortin, Hydro-Québec, Montreal, Canada, Dorothy Durnford, Environment and Climate Change Canada, Meteorological Service of Canada, Dorval, QC, Canada, Étienne Thomas É. M. Gaborit, Environment and Climate Change Canada, Meteorological Research Division, Dorval, QC, Canada, Bruce Davison, Environment and Climate Change Canada, National Hydrology Research Centre, Saskatoon, SK, Canada, Milena Dimitrijevic, Environment and Climate Change Canada, Environmental Numerical Prediction Research, Dorval, QC, Canada and Pascal Matte, Environment and Climate Change Canada, Meteorological Research Division, Quebec, Canada
Brian A. Cosgrove1, David Gochis2, Edward P Clark3, Zhengtao Cui4, Aubrey L Dugger5, Xia Feng6, Logan R Karsten2, Sadiq Khan7, David Kitzmiller8, Hak Su Lee8, Yuqiong Liu9, James L McCreight2, Andrew James Newman10, Abdoul Oubeidillah6, Linlin Pan2, Cham Pham11, Fernando Renzo Salas12, Kevin Michael Sampson2, Gautam Sood13, Andrew W Wood2, David N Yates14 and Wei Yu15, (1)National Weather Service Silver Spring, Silver Spring, MD, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, (4)LEN Technologies, Oak Hill, VA, United States, (5)National Center for Atmospheric Research, Boulder, United States, (6)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (7)NOAA/NWS National Water Center, Tuscaloosa, AL, United States, (8)NOAA/NWS/OWP, Silver Spring, MD, United States, (9)NOAA Washington DC, Washington, DC, United States, (10)University Corporation for Atmospheric Research, Boulder, CO, United States, (11)NOAA/NWS/NWC, Silver Spring, MD, United States, (12)NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (13)NOAA/NWS/NWC, Silver Spring, United States, (14)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (15)Weather Tech Services, LLC, Boulder, CO, United States
Thomas Martin Graziano, NOAA, NWS Office of Water Prediction, Silver Spring, MD, United States and Edward P Clark, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States
Xing Zheng, Verisk Analytics, Research, Boston, United States, David Maidment, University of Texas at Austin, Center for Research in Water Resources, Austin, United States, Yan Liu, National Center for Super Computing Applications, CyberGIS Center for Advanced Digital and Spatial Studies, Urbana, IL, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Logan, UT, United States and Peirong Lin, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
James L McCreight1, Yonghui Wu1, David Gochis1, Arezoo Rafieeinasab2, Aubrey L Dugger3, Wei Yu4, Brian A. Cosgrove5, Zhengtao Cui6, Abdoul Oubeidillah7 and David Briar8, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)Weather Tech Services, LLC, Boulder, CO, United States, (5)National Weather Service Silver Spring, Silver Spring, MD, United States, (6)LEN Technologies, Oak Hill, VA, United States, (7)NOAA/NWS/NWC, Tuscaloosa, AL, United States, (8)USGS, NWIS, Helena, MT, United States
Zac Flamig1, Jonathan J Gourley2, Humberto J Vergara1, Pierre-Emmanuel Kirstetter1 and Yang Hong1, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)National Severe Storms Lab, Oklahoma City, United States
Fred L Ogden1, Robert Christian Steinke2, Nels Frazier2 and Edward P Clark3, (1)NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)University of Wyoming, Laramie, WY, United States, (3)National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States