CN-AEBench integrates ground meteorological observations from multiple sources. The dataset is hosted by AIWeather126 and was last updated on Hugging Face in May 2026. Access is currently restricted pending paper acceptance, requiring contact via email for early access.
Use Cases
- Train machine learning models for weather forecasting based on integrated ground observations.
- Analyze environmental trends using multi-source atmospheric data.
- Benchmark new environmental prediction algorithms against a consolidated dataset.
Strengths
- Integrates data from multiple sources, suggesting a broad scope.
- Last update timestamp is explicitly provided: 2026-05-18 08:15:54.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which limits suitability assessment.
- Access is currently restricted, requiring direct contact with the authors.
Provenance
- Source
- AIWeather126
- Collection Method
- Integrates ground meteorological observations from multiple sources.
- Freshness
- Last updated 2026-05-18 08:15:54; freshness should be verified.
- Geography
- Likely China, inferred from the 'CN' prefix and description.