Mobile pollen forecast — USS Alabama Battleship Memorial Park neighborhood

On 16 July 2026, overall pollen levels in Mobile are low. Grass is the main contributor to airborne pollen, while ambrosia remain at lower levels

On 17 July 2026, pollen conditions in Mobile will be similar to today, with grass at low levels, ambrosia 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 Mobile. ambrosia are also present but at lower levels. cypress, oak, willow, alder, artemisia, and birch are not currently active.

As a landmark within Mobile, USS Alabama Battleship Memorial Park follows the same seasonal pollen curve, opening with cedar and elm from February before oak extends the tree season through March and April. Grass pollen builds through April and May, and mugwort and nettle extend exposure into September. Mild winters across the Southeast push the pollen calendar earlier than in most of the country, which shapes conditions at USS Alabama Battleship Memorial Park much as it does elsewhere in Mobile.

The Mobile 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 Mobile, 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.