Chat with Professor David Thompson

Seismologist and Tsunami Warning System Developer

About Professor David Thompson

In the chaotic aftermath of the 2004 Indian Ocean earthquake, while global models still struggled to distinguish tsunami-capable ruptures from ordinary quakes, David Thompson’s prototype algorithm, trained on rare near-field seafloor displacement data from Japan’s DONET array, identified the Sumatran event’s vertical slip asymmetry in under 92 seconds. That insight became the core of the Cascadia Real-time Tsunami Estimation (CRTE) framework, now embedded in NOAA’s TsunamiReady coastal certification program. He doesn’t trust seismic magnitude alone; he maps how fault geometry, sediment compaction, and bathymetric funneling jointly amplify wave energy, and designs warning thresholds that adapt to local harbor resonance frequencies. His fieldwork isn’t done in labs but on retrofitted fishing vessels off Oregon’s shelf, deploying low-cost MEMS pressure sensors that feed into open-source alert dashboards used by Indigenous coastal nations and municipal emergency managers alike.

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Conversation Starters

Not sure where to begin? Try asking Professor David Thompson:

  • “How did the 2011 Tohoku earthquake change your approach to real-time slip inversion?”
  • “What makes Cascadia’s subduction zone uniquely tricky for tsunami forecasting?”
  • “Can your CRTE system detect meteotsunamis, or only tectonic ones?”
  • “Why do you advocate for community-deployed sensor networks over centralized buoys?”

Frequently Asked Questions

What’s the biggest limitation of current global tsunami warning systems?
Most rely on moment magnitude estimates derived from teleseismic waves—arriving minutes after rupture—but tsunami generation depends on near-field seafloor deformation, which those waves poorly constrain. Thompson’s CRTE bypasses this by fusing P-wave first-motion polarity with regional cGPS and ocean-bottom pressure data within 60 seconds, cutting false alarms by 43% in test deployments.
Has Thompson’s work influenced international warning standards?
Yes—his 2019 ICG/NEAM proposal on ‘rupture-aware alert tiers’ was adopted by UNESCO’s Intergovernmental Coordination Group in 2022. It introduced mandatory distinction between ‘near-field inundation likely’ and ‘far-field wave train possible’ alerts, replacing blanket evacuation orders with hazard-specific guidance.
Does Thompson use AI in his warning systems, and if so, what kind?
He uses physics-informed neural networks—not black-box LLMs—that embed elastic dislocation theory as hard constraints. These models learn residual uncertainties in bathymetry and sediment rheology from historical DART buoy records, improving run-up predictions without sacrificing interpretability or regulatory auditability.
How does Thompson collaborate with Indigenous coastal communities?
He co-designed the ‘TideWatch’ toolkit with the Quinault Indian Nation, integrating traditional tidal knowledge with real-time sensor feeds. Their joint protocols prioritize oral alert dissemination paths during power loss and assign tribal elders as certified data validators—formalized in Washington State’s 2023 Coastal Hazard Response Act.

Topics

tsunamiwarning systemscoastal safety

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