This proposal calls for the acquisition of high performance computing resources, located at mississippi state university (MSU), and supporting infrastructure, to build HPC capacity in support of…

This Cooperative Agreement awarded by the National Oceanic and Atmospheric Administration (NOAA) under the Climate and Atmospheric Research program (CFDA 11.431) provides $1,000,000 in funding to Mississippi State University (MSU) to acquire high performance computing (HPC) resources and supporting infrastructure. The HPC capacity will be used to run larger, more complex, and more detailed environmental models to support NOAA's research and development activities across mission areas such as global numerical modeling, coastal ocean prediction and forecasting, and accelerating modeling and simulation for decision support. The award aims to advance the longstanding research collaboration between NOAA and MSU scientists, leveraging the university's expertise in areas like engineering, environmental science, and computer science. This computing resource will enable NOAA to more effectively carry out its work in weather forecasting, climate research, and understanding environmental systems and coastal issues.

This proposal calls for the acquisition of high performance computing resources, located at mississippi state university (MSU), and supporting infrastructure, to build HPC capacity in support of NOAA research and development activities. This computing resource will provide HPC capacity to run larger, more complex, and more detailed environmental models, while advancing the historical and on-going relationships between NOAA and its collaborators and MSU scientists. The HPC resources acquired through this request will support NOAA needs for research and development in the following mission areas, to include: -comprehensive numerical modeling of the global system, which is the cornerstone of weather forecasting, weather and climate research, and understanding ecosystems and coastal issues -simulation of the complex interactions of the atmosphere, ocean, land surface, cryosphere, chemically active atmospheric constituents, biogeochemical cycles on land and in the ocean, and terrestrial and oceanic ecosystems. -coastal ocean predictions and forecasts, including storm and climate scale inundation planning, resilience and response, safe and profitable marine transportation, and to predict and mitigate the impacts of hazards and toxins ranging from oil spills to harmful algal blooms. Complicated biological, chemical, physical and ecological interconnections and coupled models connecting riverine, estuary, and ocean systems, which are critical to predicting the full complement of impacts on the coast. -accelerating modeling and simulation activities to provide relevant decisions support information on a timely basis for decision-makers.