Researchers Released Global Climate Extremes Dataset
A new 0.1-degree gridded dataset provides comprehensive temperature and precipitation metrics spanning 75 years.
Updated on Oct. 13, 2026 in Severe Weather
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Scientists have launched ERA5-EX, a global dataset offering high-resolution climate information from 1950 through 2025. This resource includes 34 annual variables to aid in climate monitoring and risk assessment.
Why it matters
Previous global extremes datasets have often been fragmented or too coarse for detailed analysis. This new tool allows for more precise evaluation of extreme weather patterns and compound climate events.
The dataset features a 0.1-degree grid resolution and incorporates 26 indices from the Expert Team on Climate Change Detection and Indices. It also includes eight bivariate metrics specifically designed to track compound climate events.
The players
Expert Team on Climate Change Detection and Indices
This group develops and maintains standardized indices used to measure changes in climate extremes.
The details
Derived from ERA5-Land, the ERA5-EX dataset provides a Python-based workflow that supports tiled processing for both global and regional applications. The product underwent technical evaluation through intercomparison with other observationally constrained gridded extremes outputs.
Timeline
The ERA5-EX dataset covers a historical range spanning from 1950 to 2025.
Seasonal Patterns
The study builds upon the foundational climate data architecture provided by ERA5-Land.
Researchers and climate scientists can utilize the provided Python workflow tool for localized data processing. This allows for more granular risk assessments regarding temperature and precipitation extremes in specific geographic regions.
The takeaway
This standardized data helps bridge the gap between fragmented global observations and actionable local climate intelligence. It represents a significant step toward unifying how researchers monitor and interpret extreme weather events worldwide.
Further reading
For more background on ongoing research, visit the Severe Weather section.
More information
Access the full scientific data article and dataset for complete technical documentation.
Source note: This article includes information reported by Nature.
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