Lima pollen forecast - today, tomorrow and the week ahead

On 25 June 2026, overall pollen levels in Lima are moderate. Grass is the main contributor to airborne pollen, while cypress remain at lower levels

On 26 June 2026, pollen conditions in Lima will be different from today, with grass continuing to decline

According to the five-day outlook, cypress and grass pollen levels will increase later in the week.

On 25 June 2026, Grass is the dominant pollen source in Lima. cypress are also present but at lower levels. willow and hazel are not currently active.

Lima's northwest Ohio setting produces a season opening in late February with elm and maple before oak peaks through April and May. Grass from surrounding Ohio farmland peaks through June and July before mugwort and nettle extend exposure into September. The Ottawa River corridor channels airflows, while the continental Midwest climate produces a well-defined seasonal progression and the flat, open agricultural landscape allows grass pollen to disperse widely.

The Lima pollen forecast is updated four times daily. See the timestamp below for the most recent update.

Studies show that most pollen exposure (often 70–90%) comes from nearby sources, such as local trees and vegetation. A good pollen forecast therefore depends on accurately representing local vegetation. Pollen can travel long distances, but this usually matters only early in the season or during specific wind events.

Pollen data is often misunderstood. Most "pollen levels" are not real-time measurements, but forecasts.

Direct pollen measurements are typically delayed by 1-2 days because they require manual analysis. To show current conditions in Lima, modern forecasts combine recent measurements, weather data, and information about local vegetation.

This allows us to estimate pollen levels for today and the coming days, not just report the past.

Airmine’s atmospheric monitoring platform was developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team, using satellite and Earth observation technologies to improve emissions monitoring.