A heavy rain day could hit
mediumA single day could bring around 18.1mm of rain on 2026-10-04 — close to the local heavy-rain reference for this time of year (around 25.8mm in a day). This comparison adds historical context; it does not assess impacts on a specific activity.
Reading evidence
Reading calculated Oct 4, 2026, 6:00 PM UTC.
Valid until Oct 9, 2026, 12:02 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-04 to 2026-10-10.
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
A cold stretch is on the way
high7 days in a row could stay below 15°C, starting 2026-10-11. Longer than this region usually sees at this time of year. Crops in flowering, livestock, and rooftop venues may be exposed.
Reading evidence
Reading calculated Oct 4, 2026, 6:00 PM UTC.
Valid until Oct 7, 2026, 12:02 AM UTC.
Source: Open-Meteo.
crop growers · outdoor hospitality
Heat is building above the usual range
lowDaily highs may average around 20.1°C over the next week — above the 18.6°C typical for this time of year. Outdoor work, livestock, and crops in flowering can come under stress.
Reading evidence
Reading calculated Oct 4, 2026, 6:00 PM UTC.
Valid until Oct 11, 2026, 6:00 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-04 to 2026-10-10.
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
mediumAround 18.1mm of rain may fall in the next 48 hours — above the 1.7mm typical for this period. Field access, drying, and outdoor logistics may be affected.
Reading evidence
Reading calculated Oct 4, 2026, 6:00 PM UTC.
Valid until Oct 6, 2026, 12:02 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-04 to 2026-10-05.
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Historical reference window: 10 requested years.
Historical reference window: ±7 calendar days.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