A heavy rain day could hit
highA single day could bring around 25mm of rain on 2026-10-24 — above the local heavy-rain reference for this time of year (around 19.6mm in a day). This comparison adds historical context; it does not assess impacts on a specific activity.
Reading evidence
Reading calculated Oct 23, 2026, 6:02 PM UTC.
Valid until Oct 28, 2026, 12:03 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-23 to 2026-10-29.
Forecast source: open-meteo.
Years with usable data: 10 of 10.
Historical dataset: era5.
Samples: 150.
Method: heavy-rain-percentile-max-v1-2026-09-22.
outdoor events · drainage operators · agriculture · road transport
A dry stretch is forming
high7 dry days in a row could start 2026-10-26. A dry day here means 1mm of rain or less; the important number is the length of the run. Crops in flowering or fruit-set windows are most exposed.
Reading evidence
Reading calculated Oct 23, 2026, 6:02 PM UTC.
Valid until Oct 28, 2026, 6:02 PM UTC.
Source: Open-Meteo.
agriculture · road transport
Heat is building above the usual range
lowDaily highs may average around 28.1°C over the next week — above the 26.4°C typical for this time of year. Outdoor work, livestock, and crops in flowering can come under stress.
Reading evidence
Reading calculated Oct 23, 2026, 6:02 PM UTC.
Valid until Oct 30, 2026, 6:02 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-23 to 2026-10-29.
Forecast source: open-meteo.
Years with usable data: 10 of 10.
Historical dataset: era5.
Samples: 150.
Method: heat-stress-avg-v1-2026-09-22.
outdoor farmers · tourism · energy demand
Rainfall is trending above the usual
highAround 35mm of rain may fall in the next 48 hours — above the 1.5mm typical for this period. Field access, drying, and outdoor logistics may be affected.
Reading evidence
Reading calculated Oct 23, 2026, 6:02 PM UTC.
Valid until Oct 25, 2026, 12:03 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-23 to 2026-10-24.
Forecast source: open-meteo.
Historical reference window: 10 requested years.
Historical reference window: ±7 calendar days.
Years with usable data: 10 of 10.
Historical dataset: era5.
Samples: 150.
Method: rolling-sum-v2-anchor-lookback-2026-09-21.
farmers · tourism · logistics · road transport