La Seyne-sur-Mer pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in La Seyne-sur-Mer are moderate. Grass is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in La Seyne-sur-Mer will be similar to today, with grass at medium levels

According to the five-day outlook, artemisia pollen levels will increase later in the week.

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

La Seyne-sur-Mer's position within the enclosed Rade de Toulon concentrates pollen under calm spring conditions. Olive and pine open the season from January before grass from surrounding Var farmland peaks through April and May. The hot, dry Mediterranean summer ends the season abruptly, while sea breezes can periodically provide relief and the coastal mountain setting creates varied local exposure across the city.

The La Seyne-sur-Mer 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 La Seyne-sur-Mer, 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.