We produce and supply the pollen forecasts for the UK in conjunction with the Met Office. This forecast was last updated on 13 April 2018.
Summary and Weekly Synopsis
Birch & plane pollen high at times in southern regions. Birch reaching high in Wales, Midlands and parts of North by 16/17th April.
Tree Pollen - High
Birch pollen season is now underway in the southern regions and parts of east Anglia, where plane tree pollen is also airborne. There will be a high risk on dry bright days. The high risk will spread to the Midlands, Wales & central North from 16th/17th April when better weather arrives. Scotland and far north of England will remain low for now.
Grass Pollen - Low
The grass pollen season will start again in late May.
Fungal Spore - Low
The spore risk will be generally low this week.
Weed Pollen - Low
The weed pollen season will start again in late May.
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 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.