Recent Development of JEDI-based Data Assimilation for GFS and RRFS at OU MAP Lab

OU MAP lab, in close collaboration with NOAA EMC and OAR labs, has made extensive efforts to advance NOAA’s global and regional operational data assimilation (DA) systems within the GSI-based framework in the past decade. OU MAP lab continues contributing to the advancement of these operational DA systems by performing DA research and development based on the Joint-Effort for DA Integration (JEDI) framework. In this meeting, we will present our recent progress of the DA developments for the JEDI-based EnVar and EnKF by the OU MAP team in collaboration with NOAA and JCSDA.

For the global DA and forecast system, the following efforts are being made. 1) We develop a cycled EnVar and EnKF DA workflow incorporating JEDI and FV3 components in collaboration with EMC and JCSDA. 2) The simultaneous multiscale DA method using model space scale dependent localization (SDL) within the GSI-based EnVar context is migrated to the JEDI-based EnVar. 3) Initial tests will be conducted to examine the migration of the multiscale DA and compare its performance with that from GSI. The efforts being made for the regional Rapid Refresh Forecast System (RRFS) include, 1) adding the radar reflectivity operator within JEDI/UFO to achieve direct radar reflectivity capability using reflectivity as the state variable, 2) extending the JEDI/IODA interface to read in the MRMS radar reflectivity observations, 3) developing the simultaneous multiscale DA capability for the assimilation of radar and in-situ observations at once, 4) examining the flow-dependent localization method for radar DA, and 5) conducting initial tests to explore the impact of these aforementioned developments and to compare the results of the initial tests with those from GSI. Detailed description and evaluation of these developments will be presented at the conference.