The Geostationary Operational Environmental Satellite-R Series (GOES-R) is the next generation of geostationary weather satellites. Imaging Earth’s weather, oceans and environment, the Advanced Baseline Imager (ABI) is the primary instrument on GOES-R satellite. We managed to streamline the ABI radiance data format from the original NetCDF into NCEP BUFR. We then assimilated ABI BUFR into NCEP 4DEn-Var GSI (same GSI version as AHI CSR assimilation). In order to compare to AHI CSR, the assimilation time is synchronized for GOES-R ABI. We applied similar cloud filtering algorithm as SEVIRI and adapted from AHI quality control in GSI. Results indicate improved first guess departure and analysis departure. Impact of assimilating AHI CSR and GOES-R ABI on forecast has also been examined in this study.
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