Saratoga Springs pollen forecast - today, tomorrow and the week ahead

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

On 17 July 2026, pollen conditions in Saratoga Springs will be similar to today, with grass at low levels

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 Saratoga Springs. birch, cypress, oak, willow, alder, ambrosia, and artemisia are not currently active.

Saratoga Springs's upstate New York setting produces a season opening in March with elm and maple before birch and oak peak through May. Grass from surrounding New York farmland peaks through June and July before mugwort and nettle extend exposure into September. The Hudson Valley corridor channels airflows northward, while the Adirondack foothills contribute substantial tree pollen during the spring peak period.

The Saratoga Springs 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 Saratoga Springs, 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.