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.

搜集汇总

背景与挑战

背景概述

京张高铁沿线天气预报数据集提供未来0-72小时逐小时的气象要素预报，包括温度、湿度、气压、风速、风向和降水量，并涵盖暴雨、大风、雷暴、冰雹、高温、寒潮、暴雪等灾害性预警信息。数据基于模式预报生成，输出降水、温度等变量，并诊断输出雷暴指数、地面大风指数和冰雹指数等产品，以MICAPS格式实时输出，数据总量约为5.05GB。