Handout (1.1 MB)
As EMC unifies NOAA operational models toward Finite-Volume Cubed-Sphere Dynamical Core (FV3) based Unified Forecast System (UFS) applications, all post processing components have been continuously upgraded to support all FV3 applications while maintaining support for legacy systems which will eventually be phased out. In addition to upgrading the interface to support FV3 outputs during recent model upgrades, the post processing systems were also updated to add new products, make bug fixes or upgrade to existing products, and improve efficiency. Moreover, EMC uses this opportunity to consolidate, unify, and retire products to provide NOAA customers consistent products and save government resources.
In addition to supporting operational post processing, EMC has been working on projects to transition post processing research advancements to NCEP operations (R2O). The two main projects are 1) collaborating with National Center for Atmospheric Research (NCAR) to transition their Graphical Turbulence Guidance (GTG) and In-Flight Icing (IFI) algorithms into operations to improve domestic and international aviation safety; and 2) collaborating with University of Utah and University of Wisconsin to transition their artificial intelligence (AI) based Snow Liquid Ratio (SLR) algorithms to improve operational snow prediction.
This presentation will give a brief overview of 1) EMC’s operational post processing system, 2) recent and upcoming upgrades to EMC’s operational products to support FV3 and the coupled system, 3) product consolidation and unification, and 4) R2O efforts to improve aviation safety and winter weather prediction using AI.

