Nhulunbuy pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in Nhulunbuy are low. Cypress is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in Nhulunbuy will be similar to today, with cypress at low levels

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

On 16 July 2026, Cypress is the dominant pollen source in Nhulunbuy. myrtle and acacia are not currently active.

Nhulunbuy, a remote mining town in northeast Arnhem Land, follows the Top End's classic monsoonal wet-dry pollen pattern. Grass pollen from surrounding savanna woodland builds through the dry season from May, with tree pollen from eucalypt, paperbark and acacia species typically opening toward the end of the dry, around August to October, ahead of the wet season's return. From November to April, heavy monsoon rain across this isolated part of Arnhem Land largely washes pollen from the air until the cycle repeats.

The Nhulunbuy 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 Nhulunbuy, 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.