Unified Model Atmospheric Forecast Model Data for Machine Learning Cloud-Base Height

Unified Model data, in pp format, for machine learning of cloud-base height based on profiles of temperature, humidity, pressure and cloud fraction. The model configuration is Global Atmosphere 6, running with a resolution of N320 (which is coarser than what was running operationally at the time). Each simulation is run for 24 hours, re-initialising every 24 hours. A separate data file is provided every 6 hours. Data points are on a latitude-longitude grid in the horizontal and on a stretched grid in the vertical. See https://gmd.copernicus.org/articles/10/1487/2017/ for details of the model configuration. Data from January 2016 is for training. Data from July 2017 is for development/validation Data from October 2017 is for final testing.

本数据集为基于温度、湿度、气压及云量廓线开展云底高度机器学习任务所用的统一模式（Unified Model）数据，格式为pp格式。该模式采用全球大气6（Global Atmosphere 6）配置，分辨率设置为N320（该分辨率较当时业务运行的模式分辨率更为粗糙）。每组模拟时长为24小时，每24小时重新初始化一次。每6小时提供一份独立的数据文件。数据点在水平方向采用经纬网格分布，垂直方向采用拉伸网格分布。有关该模式配置的详细信息，请参阅https://gmd.copernicus.org/articles/10/1487/2017/。2016年1月的数据用于模型训练，2017年7月的数据用于模型开发与验证，2017年10月的数据用于最终测试。