京张高铁沿线天气预报数据集

数据集内容主要记录了未来0-72小时逐小时温度、湿度、气压、气温、风速、风向、降水量，包含暴雨、大风、雷暴、冰雹、高温、寒潮、暴雪等灾害性预警信息。基于模式预报结果，输出降水、温度等预报变量。此外，诊断输出雷暴、地面大风和冰雹指数等产品。在模式预报过程中，实时输出MICAPS格式。数据量5.1GB。

The dataset mainly records hourly meteorological elements including temperature, humidity, atmospheric pressure, air temperature, wind speed, wind direction and precipitation for the next 0 to 72 hours, along with disaster early warning information such as rainstorm, strong wind, thunderstorm, hail, high temperature, cold wave and snowstorm. Based on model forecast results, it outputs forecast variables including precipitation and temperature. In addition, it provides diagnostic products such as thunderstorm, surface strong wind and hail indices. The data is output in MICAPS format in real time during the model forecasting process, with a total data volume of 5.1 GB.