Data for "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics"
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This dataset supports the paper "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics" and includes: Cyclone Track Data File: TCs_basin_data.xlsx Description: Includes cyclone track data from observations and model outputs (NCEP (GFS), UKMO (UM),IFS, Aurora,GraphCast, PanguWeather, FourCastNet v2, ERA5). * WMO_WIND is in knots, others are in m/s.
本数据集支撑论文《面向热带气旋动力学与热力学的全球机器学习模型评估》,包含以下内容: 气旋路径数据 文件:TCs_basin_data.xlsx 描述:包含源自观测资料与多模式输出的气旋路径数据,涉及模式包括美国国家环境预报中心(NCEP,GFS)、英国气象局(UKMO,UM)、集成预报系统(IFS)、Aurora、GraphCast、盘古气象(PanguWeather)、FourCastNet v2以及ERA5。 * WMO_WIND的单位为节,其余变量的单位均为米每秒(m/s)。
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Zenodo创建时间:
2025-01-06



