Improving the Prediction of the 3 July 2019 Kaiyuan Tornadic Supercell and Embedded Tornado with Radar and Surface Data Assimilation

Radar data and dense automatic weather station (AWS) data are provided by the Liaoning Meteorological Bureau, Jilin Meteorological Service, and Heilongjiang Meteorological Bureau. The processed data sets within this paper, including the radar and AWS datasets, radar emulation, data assimilation and numerical simulation outputs are uploaded. File folder "tornado" contains the tornado simulation data sets. File folder "d03_fcst" contains the forecast outputs for experiments "1C_sfc", "no_sfc", "last2C_sfc", and "all_sfc". File folder "analysis" contains the DA outputs for experiments "1C_sfc", "no_sfc", "last2C_sfc", and "all_sfc". File folder "fcst_bf_analysis" contains the 5-min forecast results from DA analysis fields for experiments "1C_sfc", "no_sfc", "last2C_sfc", and "all_sfc". File "dense_sfc" contains the dense AWS data. File "radar_arpspost" contains the processed radar base data. File "radar_emulator_output" contains the radar emulator outputs.