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My talk will discuss two related topics to HydroTerre (, a prototype infrastructure that provides researchers, educators, and resource managers with seamless access to geospatial/geotemporal data for supporting physics-based numerical models. The first topic describes the prototype, defining the supporting Essential Terrestrial Variables (ETV’s) and the infrastructure to support models and data anywhere in the continental USA (CONUS). I will address how we are overcoming important problems of accessibility to high-resolution geospatial data sets from multiple sources, scalability of geospatial data in support of distributed models and data-intensive computation for multi-scale, multi-state simulations. The second topic will describe a derived data product based on National Hydrography Dataset’s (NHD) level 12 Hydrological Unit Catchments (HUC) (~90,000 of them in the CONUS) to enable multi-scale data access to model across any scale in the CONUS. With this new data service, users can select any level 12 HUC and retrieve a graph network of all the catchments above the selected catchment. The graph includes the “Strahler number” hierarchy for catchments, enabling modelers to distribute their models in a High Performance Computing environment and achieve “naïve” parallelism of distributed model and data. The graph includes location of where streams (using NHD stream networks) exchange flow between level 12 HUCs, or where they do not (closed basins) for boundary conditions. I will discuss the data issues encountered in the process, why the existing NHD connections are inadequate, how edges do not conform to level 8 HUCs and the multiple strategies to address closed basins, the great lakes, and ocean outlets. In the near future, this data service will be part of the HydroTerre framework, and will be a fundamental block with how to address multi-scale modeling in HPC environments.


Session S4-02, Special Session: User Interfaces, Environments, and Visualization in Support of Modeling



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