Delmenhorst pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Delmenhorst are moderate. Grass is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in Delmenhorst will be different from today, with artemisia at low levels and grass continuing to decline

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

On 16 July 2026, Grass is the dominant pollen source in Delmenhorst. alder, artemisia, birch, hazel, cypress, and willow are not currently active.

Delmenhorst's pollen season extends from January into August, opening with early alder and hazel from January then birch pollen rising sharply across April. Grass then becomes dominant through the summer months of June and July. Nearby, Frisian coastal marshland and grazing land shape a grass-heavy local pollen profile, adding heavy grass pollen loads with limited tree pollen influence.

The Delmenhorst 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 Delmenhorst, 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.