Demo Extreme Heat Event
1 Jan 2026 – 7 Jan 2026Demo Region
Fixture content for frontend development only. It shows how an event page explains a heatwave: what happened, why, how unusual it was, and where the numbers come from.
This is a development fixture, not a real event. Its structure shows how an event page will read once real data is connected.
Basemap and satellite base only — no anomaly field is drawn for a demo event.
2 m temperature anomaly (°C)
- -6
- -4
- -2
- 0
- +2
- +4
- +6
Event at a glance
- Event type
- Extreme heat
- Dates
- 1 Jan 2026 – 7 Jan 2026
- Regions
- Demo Region
- Duration
- 7 days
- Status
- Historical
- Countries
- Demo Country
Overview
In plain language
Fixture content for frontend development only. It shows how an event page explains a heatwave: what happened, why, how unusual it was, and where the numbers come from.
Scientific summary
Do not display as factual production content. In a real entry this paragraph summarises the synoptic setup, the observed anomalies relative to a stated baseline, and the attribution evidence if any exists.
Timeline
How did the event develop?
1 Jan – 2 Jan
Onset
High pressure builds; temperatures begin rising above the seasonal norm.
3 Jan – 4 Jan
Intensification
The ridge becomes stationary and subsidence clears the skies.
5 Jan – 6 Jan
PeakPeak
Largest anomalies of the episode; dry soils amplify surface heating.
7 Jan
Decline
The block breaks down and a cooler air mass arrives.
Key metrics
How big and how unusual was it?
Mean temperature anomaly
+4.0 °C
Area-average over the event region.
Why?Hide details
Reference period: 1991-2020 · Reanalysis
Highest temperature
40.0 °C
Single-station maximum.
Why?Hide details
Observation
Duration
7 days
Days above the 90th-percentile threshold.
Percentile
99th percentile
Why?Hide details
Reference period: 1991-2020 · Reanalysis
Spatial analysis
Where was it unusual?
Unavailable: No data source is connected for this value yet.Anomaly field not connected
The basemap shows the event region only. The anomaly layer will come from a reanalysis dataset once its access and licence are verified.
2 m temperature anomaly (°C)
- -6
- -4
- -2
- 0
- +2
- +4
- +6
Time series
How did the anomaly evolve day by day?
Daily temperature anomaly
Variable: 2 m air temperature anomaly · Unit: °C · Period: 1 Jan 2026 – 21 Jan 2026 · Baseline: 1991-2020
| Time | Event-region daily anomaly | Reference (0 = 1991–2020 mean) |
|---|---|---|
| 2026-01-01 | 0.4 | 0.0 |
| 2026-01-02 | 0.5 | 0.0 |
| 2026-01-03 | 0.8 | 0.0 |
| 2026-01-04 | 0.6 | 0.0 |
| 2026-01-05 | 0.3 | 0.0 |
| 2026-01-06 | 0.2 | 0.0 |
| 2026-01-07 | 0.4 | 0.0 |
| 2026-01-08 | 0.3 | 0.0 |
| 2026-01-09 | 0.2 | 0.0 |
| 2026-01-10 | 0.5 | 0.0 |
| 2026-01-11 | 0.3 | 0.0 |
| 2026-01-12 | 0.4 | 0.0 |
| 2026-01-13 | 0.4 | 0.0 |
| 2026-01-14 | 0.2 | 0.0 |
| 2026-01-15 | 0.3 | 0.0 |
| 2026-01-16 | -0.1 | 0.0 |
| 2026-01-17 | 0.2 | 0.0 |
| 2026-01-18 | 0.6 | 0.0 |
| 2026-01-19 | 0.4 | 0.0 |
| 2026-01-20 | 0.5 | 0.0 |
| 2026-01-21 | 0.0 | 0.0 |
Synthetic series for interface development — not data.
Source: ECMWF / Copernicus C3S · ERA5ReanalysisUpdated: —Methodology
Atmospheric drivers
Why did it happen? Each step causes the next.
01
Blocking high
A persistent high-pressure system stalls and diverts weather systems around it.
02
Subsidence
Air sinks inside the high, warming by compression and suppressing cloud.
03
Clear skies
Less cloud means more solar radiation reaches the surface.
04
Soil moisture deficit
Dry soils evaporate less, so more energy goes into heating the air.
05
Extreme heat
The combination sustains temperatures far above the seasonal norm.
Impacts
Why does it matter? Meteorological effects are kept apart from socioeconomic estimates, which come from other bodies and other methods.
- Meteorological
Water resources
Elevated evaporation and reduced river flow.
Fixture: Development placeholder. Not a real measurement. - Socioeconomic
Human health
Heat-health impacts are estimated by public-health agencies, usually months later.
Fixture: Development placeholder. Not a real measurement. - Socioeconomic
Agriculture
Crop stress where heat coincides with flowering.
Fixture: Development placeholder. Not a real measurement. - Socioeconomic
Energy
Higher cooling demand on the power grid.
Fixture: Development placeholder. Not a real measurement.
Methodology
How the numbers on this page are produced.
Anomalies are computed against the 1991–2020 climatology of the same dataset and calendar period. Percentiles are ranked within that reference distribution. Area averages are weighted by grid-cell area. Impact figures are reported as published by their source and are never modelled on this site.
Read the full methodology