ERA5: Global Weather Reanalysis at 6-Hourly Intervals

ERA5 reanalysis data provides global weather variables at 6-hourly intervals for a 10-day period in January 2022. The dataset includes temperature and wind components across eight pressure levels, with a spatial resolution of 0.25 degrees. It was created by heyhenry03 from the WeatherBench2 source.

Use Cases

• Benchmarking numerical weather prediction models based on global reanalysis data.
• Training machine learning models for weather forecasting using temperature and wind variables.
• Analyzing atmospheric dynamics based on data from eight different pressure levels.
• Studying short-term global weather patterns during a specific 10-day period.

Strengths

• Global spatial coverage at a 0.25° × 0.25° resolution (721 lat × 1440 lon grid).
• High temporal resolution with 6-hourly data points (00:00, 06:00, 12:00, 18:00 UTC).
• Includes data across eight standard atmospheric pressure levels from 1000 hPa to 300 hPa.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

WeatherBench2 ERA5 reanalysis

Time Range

2022-01-10 to 2022-01-19

Freshness

Last updated 2026-04-18 07:01:10; freshness should be verified.

Geography

Global