Lisbon pollen forecast — Cascais coastline neighborhood

On 25 June 2026, overall pollen levels in Lisbon are low. Grass is the main contributor to airborne pollen

On 26 June 2026, pollen conditions in Lisbon will be similar to today, with grass at low levels

According to the five-day outlook, grass pollen levels are expected to gradually decrease, suggesting improving conditions later in the week.

On 25 June 2026, Grass is the dominant pollen source in Lisbon. birch, hazel, cypress, willow, and alder are not currently active.

Lisbon Cascais coastline runs along the Atlantic Estoril coast west of Lisbon, where pine, tamarisk, and introduced coastal ornamental trees are the main pollen sources along this exposed Atlantic coastal resort strip. The Atlantic Ocean position means strong onshore westerly winds frequently disperse pollen, while the Atlantic-facing Portuguese climate provides regular rainfall interruptions and mugwort extends into September throughout this Lisbon western Atlantic coast resort.

The Lisbon 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 Lisbon, 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.