Pfaffenhofen an der Ilm pollen forecast - today, tomorrow and the week ahead

On 20 July 2026, overall pollen levels in Pfaffenhofen an der Ilm are low. Grass is the main contributor to airborne pollen

On 21 July 2026, pollen conditions in Pfaffenhofen an der Ilm will be similar to today with no significant pollen expected.

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

On 20 July 2026, Grass is the dominant pollen source in Pfaffenhofen an der Ilm. cypress, willow, alder, artemisia, birch, and hazel are not currently active.

Pfaffenhofen an der Ilm's pollen season spans January to August, kicking off with early alder and hazel already active by January before birch levels peaking during April and into May. Grass pollen then climbs through June and July. Nearby, Alpine foothill terrain mixes pastureland with dense spruce and pine forest, adding alpine meadow grass pollen through the later summer months.

The Pfaffenhofen an der Ilm 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 Pfaffenhofen an der Ilm, 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.