Liepāja pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Liepāja are moderate. Cypress is the main contributor to airborne pollen, while grass remain at lower levels

On 17 July 2026, pollen conditions in Liepāja will be different from today, with grass at medium levels and cypress continuing to decline

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

Pollen exposure in Liepāja tracks hazel and alder in late winter, a oak and birch peak in spring, and grass into early summer, with the season running February through August. Calmer, drier days tend to let pollen linger longer here than in windier weather.

The Liepāja 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 Liepāja, 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.