Myrtle Beach pollen forecast - today, tomorrow and the week ahead

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

On 17 July 2026, pollen conditions in Myrtle Beach 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 are expected to gradually decrease, suggesting improving conditions later in the week.

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

Myrtle Beach's pollen season opens with oak and pine from late January in the mild South Carolina coastal climate. Grass pollen follows through April and May, with ragweed extending the season into October. The coastal position means onshore Atlantic breezes can periodically disperse pollen, while surrounding coastal plain woodland and grasslands contribute substantial tree and grass pollen throughout the extended season.

The Myrtle Beach 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 Myrtle Beach, 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.