Hattingen pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Hattingen are low. Cypress is the main contributor to airborne pollen, while grass and artemisia remain at lower levels

On 17 July 2026, pollen conditions in Hattingen 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 16 July 2026, Cypress is the dominant pollen source in Hattingen. grass and artemisia are also present but at lower levels. birch, hazel, willow, and alder are not currently active.

Hattingen's pollen season runs from January through August, starting with hazel and alder from January then birch and oak peaking through May. Summer grass pollen follows, peaking in June and July. It lies within the Ruhr valley's industrial belt, where reclaimed colliery land now supports urban greenery, contributing limited but steady urban tree pollen through spring.

The Hattingen 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 Hattingen, 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.