Local pollenconcentrations are influenced by many variables. What species of tree, grass or herb is flowering? On top of that the weathercondition has a big infuence on pollenload. Is it warm or cold? Is it dry or rainy? Cloudy or sunny? Windy or not, and from which direction. To visualise these various weather aspects a so-called “meteogram” is a great interface. This page shows a few designs.


This meteogram is looking 48 hours ahead, combining information about temperature (black line), humidity (blue line), dew point (grey thin line), precipitation (blue graph) and sunrise/sunset (yellow graph).


You can add labels showing min and max values, for example the pink ones are showing windspeed. The arrows show winddirection and the graphics on top show cloudiness.


As most of this type of data is watched on a smartphone, size and shape of the graphic does matter. Less could be more….


Several types of data can be included like a coloured bar. This green bar on the bottom is an airquality indicator. But also could be showing lots of other forecast data like: ozon, dog walking weather, BBQ-weather, or even shopping or a composting forecast. Ofcourse the availability and quality of the dataset will vary a lot. In general data on pollenload forecast is rare.


Another important aspect is if the meteogram is looking forward from now on or is looking backwards as well. Looking forward means that all the data is based on forecastmodels. Looking backward can include data from real measurements by weatherstations. This model of Eindhoven looks 12 hours back and 12 hours foreward. It includes Airquality and PM10 and and an airquality bar at the bottom.