The Model for Prediction across Scales (MPAS), developed by the National Center for Atmospheric Research (NCAR), will serve as the core global numerical weather prediction system, while the Community Gridpoint Statistical Interpolation (GSI) system will serve as the core data assimilation (DA) system. Initially, GSI will be run as a 3DVAR system and later transition to a hybrid ensemble-variational system. GSI will be used to assimilate a variety of observations, including satellite (GOES-R, Himawari, POES, etc.), conventional (METARs, SYNOPs, cell-phone pressures, radiosondes), and radar. MPAS will integrate the GSI analysis forward in time to provide rapidly-updating global forecasts for the day ahead time period. Horizontal resolution will vary from convective-allowing over the populated areas of the world to coarser (~15km) resolution over the rest of the world.
TWC, IBM Research, and NCAR have partnered to develop a GPU-accelerated software port of MPAS to IBM Power9 systems with nVidia GPUs. It is expected to require less resources to achieve the same performance compared to conventional CPU-only computing systems. This advantage translates to smaller initial investment and ongoing operating costs.
The forecast output from the system will be used throughout TWC product lines, including consumer (e.g., television, web and mobile forecasts), aviation (e.g., turbulence and convective hazards), energy demand, and insurance applications.