To achieve important advances in our ability to observe and simulate mountain hydrological processes and their susceptibility to climate change, NM EPSCoR will develop and adopt innovative uses of cyberinfrastructure, including: development of efficient data acquisition, processing, and storage models; high performance computing; interoperable data discovery and delivery through interfaces based upon open standards; deployment of collaboration tools that facilitate both synchronous and asynchronous knowledge exchange; and development of a project portal that provides a single point of access for project products, services, and information

The plan for acquisition, processing, and storage of the diverse data required by the project is based on a network-centric model in which data are transferred from multiple servers or sensors (either via push or pull, depending upon the requirements of the remote system) to central data servers housed at UNM’s Earth Data Analysis Center (EDAC). The general workflow for making required data available to project partners consists of transferring data from remote systems to central data servers at EDAC, processing data files for ingest into the data management and storage system designed for the project, and storing processed data.

Detailed simulations of the headwater basins will be carried out using High Performance Computing infrastructure at NMT (a 64-node computer cluster purchased by RII2), LANL, and the State of NM. New Mexico and the New Mexico Computer Applications Center (NMCAC) own and manage the supercomputer ENCANTO, an SGI Altix ICE 8200 and the twelth fastest supercomputer in the world. EPSCoR and NMCAC will jointly employ a high-performance computing scientist for code development, modification and execution. The multi-scale multi-disciplinary models developed by the project will be run on the ENCANTO system. The investment in HPC by EPSCoR will be highly leveraged with significant support provided by the State of NM and the research universities.

• Develop efficient data acquisition, processing, and storage models that enable streamlined management of data products acquired and generated by the project.
• Advance the effective use of high performance computing by researchers and universitites in NM.
• Support interoperable data discovery and delivery.
• Deploy collaboration tools that facilitate knowledge exchange.
• Develop a portal that provides a single point of access for project products, services, and information.