Pollenflug Vorhersage

Pollen forecast for Germany with forecast data of the German weather service. Pollen forecast for these types: hazel, alder, ash, birch, grasses, rye, mugwort and ragweed.

Select the pollen that are relevant for you and get a quick overview of your pollen load at your location every day.

Take a look at the map to see the development of your pollen load for all regions in Germany. This gives you a direct overview of what to expect when you plan a journey.

Use the widget to take a look at your pollen load even faster.

Use Siri shortcuts to conveniently retrieve your pollen forecast. In the apps settings you can easily set up a custom phrase.

You can also display your personal pollen load directly on your Apple Watch. Either directly in the Watch App or as a complication on your watch face.

Activate push notifications and receive a notification when your pollen load exceeds a certain warning level. You can set a notification for the morning with warnings for the same day and a notification for the evening with warnings for the next day.

All settings are automatically synchronized between your devices via iCloud.

The German weather service creates the forecast for the current day and the following day every day at 11am. The predictions of the pollen forecast are based on the regional short- and medium-term weather forecasts of the DWD as well as on the pollen concentrations measured and evaluated by the German Pollen Information Service Foundation (Stiftung Deutscher Polleninformationsdienst), which are contractually assigned to the Centre for Medical Meteorological Research (Zentrum für Medizin-Meteorologische Forschung) of the DWD to produce the predictions. Since the course of the pollen season is closely linked to the flowering behaviour of the plants, the DWDs phenological predictions and observation data, which are provided by the Department of Agricultural Meteorology, offer further valuable support in assessing the current pollen flight.

The pollen flight hazard index then results from the relationship between the expected pollen concentration in the air and the severity of the symptoms in pollen allergy sufferers. The predictions help the user to limit the allergic symptoms in the short and long term by adapting behaviour and targeted medication.

Subscription
A subscription is required to use this app. Subscriptions support the development of the app long term. Users who really like to use the app form their financial basis. If youre not sure whether you like the app, you can try it for free during the trial period.

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