EOMF-01. The Common Community Physics Package (CCPP): a shared infrastructure for model physics for operations and research

Abstract
Improving numerical weather prediction systems depends critically on the ability to transition innovations from research to operations (R2O) and to provide feedback from operations to research (O2R). This R2O2R cycle, sometimes referred to as "crossing the valley of death", has long been identified as a major challenge for the U.S. weather enterprise. As part of a broader effort to bridge this gap and advance U.S. weather prediction capabilities, the Developmental Testbed Center (DTC) has developed a shared infrastructure for model physics for operations and research, the Common Community Physics Package (CCPP), for application in NOAA's Unified Forecasting System (UFS). The CCPP consists of a library of physical parameterizations and a framework, which interfaces the physics with atmospheric models based on metadata information and standardized interfaces. The CCPP physics library contains parameterizations from the current operational U.S. global, mesoscale and high-resolution models, future implementation candidates, and additional physics from NOAA and other organizations. The range of physics options in the CCPP enables the application of the UFS - and every other model using the CCPP - across scales, from nowcasting to seasonal and from high-resolution regional to global ensembles. To date, CCPP is used in the UFS, in DTC's Single Column Model as part of the UFS Hierarchical Testing Framework, and in NRL's NEPTUNE (Navy Environmental Prediction sysTem Utilizing the NUMA corE) model. Efforts are underway to update the CCPP infrastructure so that a unified version can be used across these models and large community modeling efforts such as NCAR's Model for Prediction Across Scales (MPAS) and Community Earth System Model (CESM). In this contribution, we will present a brief overview of the concept of the CCPP and give an update on the integration of the CCPP in the UFS and in other modeling systems.