A heavy rain day could hit
highA single day could bring around 33.8mm of rain on 2026-10-15 — above the local heavy-rain reference for this time of year (around 33.7mm in a day). This comparison adds historical context; it does not assess impacts on a specific activity.
Reading evidence
Reading calculated Oct 14, 2026, 6:02 PM UTC.
Valid until Oct 19, 2026, 12:03 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-14 to 2026-10-20.
Forecast source: open-meteo.
Years with usable data: 9 of 10.
Historical dataset: era5.
Samples: 135.
Method: heavy-rain-percentile-max-v1-2026-09-22.
construction · outdoor events · drainage operators · agriculture
A cold stretch is on the way
extreme14 days in a row could stay below 15°C, starting 2026-10-14. 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 14, 2026, 6:02 PM UTC.
Valid until Oct 17, 2026, 12:03 PM UTC.
Source: Open-Meteo.
coffee farmers · crop growers · livestock · outdoor hospitality
Water conditions are improving
activeAround 126.1mm of rain has fallen over the past 14 days — above the 80.8mm typical for this period. A healthier water balance is restoring across this area.
Reading evidence
Reading calculated Oct 14, 2026, 6:02 PM UTC.
Valid until Oct 19, 2026, 12:03 PM UTC.
Source: Open-Meteo.
Recent data period: Sep 24, 2026 to Oct 7, 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
mediumAround 38.8mm of rain may fall in the next 48 hours — above the 8mm typical for this period. Field access, drying, and outdoor logistics may be affected.
Reading evidence
Reading calculated Oct 14, 2026, 6:02 PM UTC.
Valid until Oct 16, 2026, 12:03 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-14 to 2026-10-15.
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Historical reference window: 10 requested years.
Historical reference window: ±7 calendar days.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