Lingen pollen forecast - today, tomorrow and the week ahead

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

On 17 July 2026, pollen conditions in Lingen will be different from today, with cypress at low levels, grass at low levels, artemisia at low levels

According to the five-day outlook, grass pollen levels are expected to gradually decrease, while cypress and artemisia pollen will increase, suggesting mixed conditions later in the week.

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

Lingen's pollen season stretches across January into August, launched by hazel and alder from January then birch and oak peaking through May. Grass pollen then peaks through June and July. The North Sea coast and Frisian marshland around Lingen favour grasses and marsh vegetation over dense tree cover, adding heavy grass pollen loads with limited tree pollen influence.

The Lingen 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 Lingen, 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.