Water conditions are improving
activeAround 88.6mm of rain has fallen over the past 14 days — above the 33.8mm typical for this period. A healthier water balance is restoring across this area.
Reading evidence
Reading calculated Oct 22, 2026, 6:01 PM UTC.
Valid until Oct 27, 2026, 6:03 AM UTC.
Source: Open-Meteo.
Recent data period: Oct 2, 2026 to Oct 15, 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 · livestock
A heavy rain day could hit
highA single day could bring around 11.4mm of rain on 2026-10-28 — above the local heavy-rain reference for this time of year (around 8.8mm in a day). This comparison adds historical context; it does not assess impacts on a specific activity.
Reading evidence
Reading calculated Oct 22, 2026, 12:01 PM UTC.
Valid until Oct 27, 2026, 6:03 AM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-22 to 2026-10-28.
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 · livestock · street vendors
A cold stretch is on the way
extreme14 days in a row could stay below 15°C, starting 2026-10-22. 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 22, 2026, 12:00 PM UTC.
Valid until Oct 25, 2026, 6:03 AM UTC.
Source: Open-Meteo.
crop growers · livestock · outdoor hospitality
Heat is building above the usual range
lowDaily highs may average around 21°C over the next week — above the 20.3°C typical for this time of year. Outdoor work, livestock, and crops in flowering can come under stress.
Reading evidence
Reading calculated Oct 22, 2026, 12:00 PM UTC.
Valid until Oct 29, 2026, 12:00 PM UTC.
Source: Open-Meteo.
Forecast period: 2026-10-22 to 2026-10-28.
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 · livestock · street vendors