Tsunamis
NOAA's Global Historical Tsunami Database in Python: events and run-ups, which tsunamis are certain, causes, the deadliest, travel times across oceans, every tsunami at one place, and the death, damage and country codes that mislead.
NOAA's National Centers for Environmental Information keep the Global Historical Tsunami Database: 3,138 events from 2000 BCE to 2026, each at its source with its cause, certainty, highest wave and toll, and 35,129 run-ups, the places where a tsunami was measured or seen, with heights, distances and arrival times. It is the record behind tsunami hazard maps and warning-time estimates around the world.
The guides here load both tables, explain which entries are certain and what caused them, with how to get the data without code, map the run-ups of the 2011 tsunami in Japan, measure how fast tsunamis cross oceans, rank the deadliest, count causes and gather every tsunami that reached one town. Three pages deal with the traps: death totals that include the earthquake, coded columns that look like counts, and events filed under the country where they began.
🧭 Start with the concepts
The ideas the how-to guides below assume you already have.
⚙️ Then do the task
Step-by-step walkthroughs with code you can copy and adapt.
- How to Load NOAA Tsunami Events and Run-ups in Python
- How High Did the 2011 Japan Tsunami Reach? Its Run-ups Mapped
- How Fast Do Tsunamis Cross an Ocean? Travel Times From Run-up Records
- How to Rank the Deadliest Tsunamis
- How to Count Tsunamis by Cause: Earthquakes, Landslides and Volcanoes
- How to Find Every Tsunami That Reached a Place
🔧 When it breaks
The errors this topic produces, with the cause explained rather than just the command.
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