A heavy rain day could hit
extremeA single day could bring around 5.6mm of rain on 2026-10-01 — above the local heavy-rain reference for this time of year (around 1.4mm in a day). Construction, drainage, and outdoor events should review schedules.
Reading evidence
Reading calculated Oct 1, 2026, 6:03 PM UTC.
Valid until Oct 6, 2026, 6:03 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-01 to 2026-10-07.
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
extreme10 dry days in a row could start 2026-10-05. 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 1, 2026, 6:03 PM UTC.
Valid until Oct 6, 2026, 6:03 PM UTC.
Source: Open-Meteo.
agriculture · road transport
Water conditions are improving
strongAround 12.2mm of rain has fallen over the past 14 days — above the 0.9mm typical for this period. A healthier water balance is restoring across this area.
Reading evidence
Reading calculated Oct 1, 2026, 6:03 PM UTC.
Valid until Oct 6, 2026, 6:03 PM UTC.
Source: Open-Meteo.
Recent data period: Sep 11, 2026 to Sep 24, 2026.
Years with usable data: 10 of 10.
Historical dataset: era5.
Samples: 150.
Method: rolling-sum-v2-anchor-lookback-2026-09-21.
hydro operators · agriculture · reservoir ops
Rainfall is trending above the usual
extremeAround 7.9mm of rain may fall in the next 48 hours — above the 0mm typical for this period. Field access, drying, and outdoor logistics may be affected.
Reading evidence
Reading calculated Oct 1, 2026, 6:03 PM UTC.
Valid until Oct 3, 2026, 6:03 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-01 to 2026-10-02.
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Historical reference window: 10 requested years.
Historical reference window: ±7 calendar days.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