Šiauliai pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Šiauliai are moderate. Grass is the main contributor to airborne pollen, while cypress remain at lower levels

On 17 July 2026, pollen conditions in Šiauliai will be similar to today, with cypress at low levels, grass at medium levels

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

On 16 July 2026, Grass is the dominant pollen source in Šiauliai. cypress are also present but at lower levels. alder, artemisia, birch, hazel, and willow are not currently active.

In Šiauliai, the pollen year begins with hazel and alder as early as February, builds to a birch and linden peak in spring, and continues with grass into early summer, tailing off by August. Ragweed adds a late-season tail in areas closest to farmland and disturbed ground.

The Šiauliai 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 Šiauliai, 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.