Morgantown pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Morgantown are low. Ambrosia is the main contributor to airborne pollen, while grass remain at lower levels

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

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

On 16 July 2026, Ambrosia is the dominant pollen source in Morgantown. grass are also present but at lower levels. artemisia, birch, cypress, oak, willow, and alder are not currently active.

Morgantown's pollen season opens in February with hazel and alder before oak peaks through April. Grass from surrounding West Virginia farmland peaks through May and June before mugwort and nettle extend exposure into September. The Monongahela River valley concentrates pollen, while the Appalachian setting means the season begins slightly later than in lower-elevation mid-Atlantic cities.

The Morgantown 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 Morgantown, 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.