Warming Stripes show the temperature anomaly relative to the average of the first 20 years of available data. Each stripe represents one year: colours range from blue (years cooler than the average) to red (years warmer than the average), making the warming trend immediately visible over time.
This visualisation was conceived by Prof. Ed Hawkins of the University of Reading (UK) in 2018 as a science communication tool for climate change, capable of conveying the global warming trend in an immediate and intuitive way without requiring technical expertise. Warming Stripes are today one of the most recognisable symbols of international climate communication.
The calculation is based on two data sources:
| Horizon | Source | Detail |
|---|---|---|
| Historical (1940 – present) | Open-Meteo Historical Weather | ERA5-Land reanalysis, ~10 km |
| Future projections | Climate Data Store CMIP6 | CMIP6 climate models, SSP scenarios |
The calculation process follows these steps:
Unit: degrees Celsius (°C, anomaly relative to the first 20-year mean)
| Code | Name | Provider | Resolution | Availability |
|---|---|---|---|---|
WRD_OPNMT_99 | Open-Meteo Historical Weather | Open-Meteo (ERA5-Land) | ~10 km | 1940 — present |
WRD_CDSXX_99 | Climate Data Store CMIP6 | Copernicus / ECMWF | variable | future projections (SSP) |
This KPI is a graphical visualisation of thermal anomalies and does not include an A–E quality level classification. The value is not an environmental performance indicator with fixed thresholds, but a visual representation of the local climate signal. Interpretation is based directly on the colouring: a progression towards red indicates a warming trend, while blue indicates years that were relatively cooler than the reference mean.
Annual temperature anomalies calculated against the mean of the first 20 years of data. Historical source: Open-Meteo Historical Weather (ERA5-Land reanalysis, ~10 km, 1940–present). Projection source: Climate Data Store CMIP6 (SSP scenarios). Colouring: blue = below average, white = near average, red = above average. Visualisation conceptualised by Ed Hawkins (University of Reading, 2018).