Traunstein pollen forecast - today, tomorrow and the week ahead

On 20 July 2026, overall pollen levels in Traunstein are low. Cypress is the main contributor to airborne pollen, while grass remain at lower levels

On 21 July 2026, pollen conditions in Traunstein will be different from today, with grass at low levels

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

On 20 July 2026, Cypress is the dominant pollen source in Traunstein. grass are also present but at lower levels. alder, artemisia, birch, hazel, and willow are not currently active.

Traunstein's pollen season continues from January into August, beginning with hazel and alder in early January prior to birch levels peaking during April and into May. Grass pollen takes over across June and July. The Bavarian Alpine foothills around Traunstein bring alpine meadows, spruce forest, and lake-moderated microclimates, keeping meadow grass pollen levels elevated through July.

The Traunstein 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 Traunstein, 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.