Stamford pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Stamford are low. Grass is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in Stamford will be similar to today with no significant pollen expected.

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

On 16 July 2026, Grass is the dominant pollen source in Stamford. oak, willow, alder, ambrosia, artemisia, birch, and cypress are not currently active.

Stamford's pollen season opens with maple and birch from late February, followed by oak through April and May. Grass pollen peaks through June and July, with ragweed contributing into September. The Long Island Sound coastline means onshore winds can periodically moderate pollen levels, while surrounding Connecticut woodland and farmland contribute substantial tree and grass pollen under prevailing southwesterly winds throughout the season.

The Stamford 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 Stamford, 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.