A heavy rain day could hit
highA single day could bring around 22mm of rain on 2026-10-14 — above the local heavy-rain reference for this time of year (around 11.2mm in a day). This comparison adds historical context; it does not assess impacts on a specific activity.
Reading evidence
Reading calculated Oct 11, 2026, 6:00 PM UTC.
Valid until Oct 16, 2026, 12:03 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-11 to 2026-10-17.
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 · soy farmers
A dry stretch is forming
medium5 dry days in a row could start 2026-10-18. 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 11, 2026, 6:00 PM UTC.
Valid until Oct 16, 2026, 12:03 AM UTC.
Source: Open-Meteo.
soy farmers · agriculture
Water conditions are improving
activeAround 45.1mm of rain has fallen over the past 14 days — above the 17mm typical for this period. A healthier water balance is restoring across this area.
Reading evidence
Reading calculated Oct 11, 2026, 6:00 PM UTC.
Valid until Oct 16, 2026, 6:02 AM UTC.
Source: Open-Meteo.
Recent data period: Sep 22, 2026 to Oct 5, 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 · soy farmers
Rainfall is trending above the usual
mediumAround 5.7mm 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 11, 2026, 6:00 PM UTC.
Valid until Oct 13, 2026, 6:00 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-11 to 2026-10-12.
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Historical reference window: 10 requested years.
Historical reference window: ±7 calendar days.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 · soy farmers