nasa-impact/WxC-Bench
收藏Hugging Face2026-02-02 更新2025-04-12 收录
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https://hf-mirror.com/datasets/nasa-impact/WxC-Bench
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资源简介：
WxC-Bench数据集旨在为大气和地球科学领域中的各种任务评估AI模型的性能提供一个标准化的基准。该数据集包含六个关键任务的数据集：1. 重力波动量通量的非局部参数化；2. 航空湍流预测；3. 天气类比识别；4. 自然语言天气预报生成；5. 长期降水预测；6. 飓风轨迹和强度预测。
The WxC-Bench dataset is designed to provide a standardized benchmark for evaluating the performance of AI models in Atmospheric and Earth Sciences across various tasks. The dataset includes datasets for six key tasks: 1. Nonlocal Parameterization of Gravity Wave Momentum Flux; 2. Prediction of Aviation Turbulence; 3. Identifying Weather Analogs; 4. Generation of Natural Language Weather Forecasts; 5. Long-Term Precipitation Forecasting; 6. Hurricane Track and Intensity Prediction.
提供机构：
nasa-impact
