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.

本研究的雷达数据与密集自动气象站（Automatic Weather Station, AWS）数据由辽宁省气象局、吉林省气象局及黑龙江省气象局提供。本文所涉及的经处理数据集（包含雷达与AWS数据集、雷达模拟数据、数据同化（Data Assimilation, DA）结果及数值模拟输出）均已上传。文件夹"tornado"存储龙卷风模拟数据集；文件夹"d03_fcst"存储试验"1C_sfc"、"no_sfc"、"last2C_sfc"及"all_sfc"的预报输出结果；文件夹"analysis"存储上述四项试验的DA输出结果；文件夹"fcst_bf_analysis"存储针对上述四项试验，基于DA分析场生成的5分钟预报结果；文件"dense_sfc"存储密集AWS观测数据；文件"radar_arpspost"存储经处理的雷达原始基数据；文件"radar_emulator_output"存储雷达模拟器输出结果。