13 · Mission

Early warning

What it's all for: a few minutes' head start before a catastrophe saves lives.

Library → Early warning

The whole library leads to one idea. Infrasound is not just a beautiful natural phenomenon. It is a signal that often arrives ahead of disaster, and that can be caught. Therein lies the meaning of the HERD project.

A few minutes decide everything

In a tsunami, eruption, avalanche or meteor explosion, the destructive part arrives with a delay. But infrasound in the air travels at the speed of sound and barely attenuates — so it often outruns the threat itself. Those minutes are the time to move away from the water, stop the train, lead people off the slope.

This has already been proven on large events

The early-warning toolbox is widening from other directions too: networks of ordinary Android phones (Allen et al., 2025) and infrasound detection of lahars (Johnson et al., 2023) add new, cheap sources of signal.

Big science has proven the principle. Our task is to make it available to every coastline.

Where HERD comes in

Expensive stations are rare and far apart. HERD is building a dense network of cheap sensors and open processing, so that early warning stops being a privilege of wealthy states. First — to prove honestly that a cheap network catches events and does not confuse them with weather. Then — scale.

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Listen to the planet together

This is a living research project, born of a love for elephants and the idea of warning of disaster. Join us.

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Sources for this article

  1. peer-reviewed Le Pichon A. et al. (2005). Infrasound associated with 2004–2005 Sumatra earthquakes and tsunami. GRL 32. agupubs.wiley.com
  2. review Garcés M. et al. (2005). Infrasound from the 2004 Sumatra earthquake and tsunami. ASA. acoustics.org
  3. peer-reviewed Bittner M. et al. (2010). Mesopause perturbations as a potential tsunami indicator. NHESS 10. nhess.copernicus.org
  4. peer-reviewed Matoza R.S. et al. (2022). Global seismoacoustic observations of the January 2022 Hunga eruption, Tonga. Science 377. science.org
  5. peer-reviewed Marchetti E. et al. (2015). Infrasound array detection of snow avalanches. NHESS 15. nhess.copernicus.org
  6. peer-reviewed Kubota T., Saito T., Nishida K. (2022). Global fast-traveling tsunamis driven by atmospheric Lamb waves on the 2022 Tonga eruption. Science 377(6601). doi.org
  7. peer-reviewed Ravanelli M. et al. (2023). Tsunami and Lamb wave ionospheric signatures from the 2022 Hunga Tonga eruption (GNSS-TEC). Pure Appl. Geophys. 180. doi.org