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Pollen forecast

We produce and supply the pollen forecasts for the UK in conjunction with the Met Office. This forecast was last updated on 3rd January 2019

Summary and Weekly Synopsis

Forecast for 13th - 21st Jan 2019: Early tree pollen at low to moderate risk. Spores (Aspergillus/penicillium types) at moderate to high risk.


Tree Pollen - Moderate

Hazel tree pollen will continue at low to moderate risk. Low amounts of alder tree pollen will be airborne in the south, while Cupressaceae will be increasing to moderate on mild, breezy days in urban/suburban areas.

Grass Pollen - Low

The grass pollen season has finished and will start again next Spring


Fungal Spore - High

January can be a high risk month for those affected by penicillium/aspergillus spore types the risk often continuing well into February in some years. The risk is highest on dry days. Most other spore types are low at this time of year although Basidiospores from mushrooms toadstools etc. can rise to moderate levels at times.

Weed Pollen - Low

The weed pollen season has finished and will start again next Spring.

Other information

Further Information

Further information on this service can be obtained from Beverley Adams-Groom on 01905 855411.

Forecasts are available on a regional basis to cover the whole of the UK including Northern Ireland. They can also be provided in detail for individual regions.

Daily forecasts are issued from the middle of March to the end of September. Tree pollen forecasts are issued in late spring (late March to Mid May). Grass pollen forecasts are issued from late May to August. Weed pollen forecasts are issued from July to the end of May. Fungal spore forecasts are available from the University of Worcester from September to early November. Please contact Beverley on the number above for details.

Daily forecasts are featured in newspapers, on radio, on television and various web pages.

All the forecasts are based on information from the quality controlled data produced by the National Pollen Monitoring Network, combined with the information from weather forecasts, local vegetation and typography types and information about biological factors and the weather in the preseason period that influences the amount of pollen produced.