New Haven pollen forecast — Yale University Campus neighborhood

On 13 July 2026, overall pollen levels in New Haven are low. Ambrosia is the main contributor to airborne pollen, while grass remain at lower levels

On 14 July 2026, pollen conditions in New Haven will be different from today, with ambrosia at low levels and grass increasing

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

On 13 July 2026, Ambrosia is the dominant pollen source in New Haven. grass are also present but at lower levels. alder, artemisia, birch, cypress, oak, and willow are not currently active.

Yale University Campus follows New Haven's established pollen calendar, beginning with maple and elm from March with birch and oak joining in and continuing through April and May. Grass pollen builds through June and July, and mugwort and nettle extend exposure into September. A relatively short growing season compresses tree, grass, and weed pollen into a more intense stretch.

The New Haven 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 New Haven, 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.