How We Forecast Pollen at Planetary Scale

Most pollen apps show you a single number: "high." That's not very useful if you're allergic to birch but not oak. We built

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The Atmospore API delivers these forecasts as structured JSON. Species-resolved, georeferenced, updated daily. Free tier trial available, no credit card required.

  curl "https://pollenapi.com/v1/pollen?lat=59.91&lon=10.75&dt=2026-05-09&species=birch&forecast_days=3" \

    -H "x-api-key: YOUR_KEY"



  Get a free API key

References

1. Ren, X. et al. (2022). Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States. Frontiers in Allergy, 3. PMC9640548


2. Werchan, B. et al. (2017). Spatial distribution of allergenic pollen through a large metropolitan area. Environmental Monitoring and Assessment, 189(169). PMID: 28316024


3. Sofiev, M. et al. (2013). A numerical model of birch pollen emission and dispersion in the atmosphere. International Journal of Biometeorology, 57, 45-58.


4. Anderegg, W.R.L. et al. (2021). Anthropogenic climate change is worsening North American pollen seasons. PNAS, 118(7).


5. Buters, J.T.M. et al. (1997). Release of Bet v 1 from birch pollen. Journal of Allergy and Clinical Immunology. JACI

Read the full article with an interactive pollen map at atmospore.com/article/pollen-science