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