PRECIP 2022 mei-yu front SAMURAI analyses, estimated rain rate, and convective-stratiform partition data

545 Multi-Doppler, estimated rainfall, and convective-stratiform partitioning analyses from research and operational radars during the PRECIP 2022 field campaign are used to examine the relationship between rotation, vertical motion, divergence, and rainfall intensity in two mei-yu frontal periods. Each NetCDF file contains SAMURAI-analyzed reflectivity, Cartesian wind components, vorticity, and divergence. The 1.5-km altitude estimated rain rate using the NSF NCAR Hybrid method is also provided along with the convective-stratiform partitioning results from ECCO. The dataset also includes a bad data mask that was used to remove data in the analysis.