Development of Data Assimilation System for current and future Rapid Refresh Forecast System

The Rapid Refresh Forecast System (RRFS) is NOAA's next-generation regional convection-allowing ensemble forecast system in development for the National Weather Service. The RRFS is being developed collaboratively by the Environmental Modeling Center (EMC) and the Global Systems Laboratory (GSL), as well as the NOAA research labs and the broader research community. The RRFS Data Assimilation System (RDAS) features an hourly cycled spin-up cycle and an hourly cycled product cycle for the deterministic forecast system, along with an hourly cycled Ensemble Kalman Filter (EnKF) data assimilation system.

The current version of the RRFS is constructed with the FV3 limited area (FV3LAM) model and the Gridpoint Statistical Interpolation (GSI) and its future version will use The Model for Prediction Across Scales (MPAS) with the Joint Effort for Data Assimilation Integration (JEDI). This talk will summarize the major data assimilation features in the current RRFS and the progress of the development, test and evaluation of the JEDI for its implementation in the future RRFS.