The vision of CRC is to advance research, enrich training, inspire collaboration, and inform decision making through highly available innovation-enabling CI, with a particular focus on geosciences and engineering integrated with ecosystem ecology for the sustainability of deltaic coasts. We propose an integrated, coupled modeling framework built on top of cloud computing technology tailored for the coastal modeling community. Its primary focus is to facilitate the deployment of complex models on cloud and cloud-like architectures with negligible performance overhead.
The proposed CRC cyberinfrastructure consists of 4 processing subsystems: (1) observation data assembling, (2) model distribution and deployment, (3) workflow management, and (4) numerical data interpretation and visualization.
CHEMORA is an NSF-funded EAGER project (ACI-1265449) designed to automatically optimize stencil computations for GPUs. CHEMORA will be used to speed up CaFunwave, a module developed for the Cactus Computational Toolkit (a general purpose problem solving environment for scientists and engineers). CaFunwave is based on the Boussinesq equations, which are used to simulate nonlinear waves in the nearshore. These equations have been a useful tool for modeling surface waves from the deep water to the swash zone. CaFunwave implements these equations using the numerical methods and basic grid structure (i.e. grids consisting of logical blocks) of the open-source Funwave-TVD code. CaFunwave, however, has been extended to include the effects of vegetation for modeling surface waves over inundated wetlands and hurricane wind effects for simulating combined waves and storm surge, and to include levees using the Immersed Boundary Method. The continued development of CaFunwave will provide a new tool for the modeling of coastal flood hazards and the design of green infrastructure.
The National Science Foundation CCF-1539567
The National Science
Foundation