Skip to content
Menu

Pollen forecast

We produce and supply the pollen forecasts for the UK in conjunction with the Met Office. This forecast was last updated on 19 January 2018.

Summary and Weekly Synopsis

 Winter peak for Aspergillus and Penicillium types. Hazel pollen now airborne in low amounts.

Tree Pollen - Low

Hazel pollen will be airborne in low amounts on dry days in southern and central regions of the UK. This tree pollen type affects a small proportion of hay fever sufferers.

Grass Pollen - Low

The grass pollen season will start again in the Spring.

Fungal Spore - Moderate

Aspergillus and Penicillium spores are currently in their winter peak which is likely to last until early February. Other spore types will remain low.

 

Weed Pollen - Low

The weed pollen season will start again in the Spring.

 

 

Other information

Oilseed rape (Brassica napus) pollen can cause hay fever in a small number of sufferers but Volatile Organic Compounds (VOCs) given off by the crop can cause irritation of the upper respiratory tract and eyes in some people in close proximity to the crop.

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.