ABSTRACT:

Projects within the Coastal Theme will focus on identifying the relevant physics in the coastal-estuarine-tidal regions and the working toward development of an ideal modeling framework for total water forecasts in tidal environments. The attached document in the content section of this resource elaborate on the specific research questions around which projects will be structured, including project goals, potential approaches, and supplementary materials for pre-SI preparation.

Theme Leads:
Celso Ferriera (George Mason University)
Ehab Meselhe (Tulane University)
Patrick Burke (NOAA, National Ocean Service)

Attached Research Questions:
*NOTE: The research questions for the Coastal Theme are all within the same PDF file because they share similar goals, data, and approaches.
RQ1 - Identify the limit of the coastal zone “influence” for tidal predictions in upland reaches.
RQ2 - Investigate the relevant physical processes contributing to total water prediction.
RQ3 - Investigate the relevant forcing conditions besides the riverine/coastal boundary conditions that are relevant in coastal reaches.
RQ4 - Evaluate the effects of anthropogenic changes impacting the coastal/riverine interface delineation.
RQ5 - Evaluate numerical modeling configurations relevant to water predictions in coastal areas.
RQ6 - Perform an intermodel comparison to evaluate the computational cost vs accuracy of simulating total water forecasts in coastal reaches.

ABSTRACT:

Projects within the Hydroinformatics theme will work on development of spatiotemporal information architecture to integrate hydrologic, hydrodynamic, hydrographic, and hydrometric science. The attached documents in the content section of this resource elaborate on the specific research questions around which projects will be structured, including project goals, potential approaches, and supplementary materials for pre-SI preparation.

Theme Leads:
Dave Blodgett (US Geological Survey)
Kyle Mandli (Columbia University)

Attached Research Questions:
RQ1 - Reproducible modeling environment
RQ2 - Utilizing multiple sources of information for continuous topobathymetry