Potential to Predict Collapses of Coastal Cliffs Cited in New Report From UCSD’s Scripps
By Lauren Fimbres Wood / Scripps Institute of Oceanography / July 9, 2026
Following a four-year study, scientists at UC San Diego’s Scripps Institution of Oceanography released a new report to determine if an early warning system could potentially detect a landslide before it happens. The “California Coastal Landslide Early Warning Research” report found that a network of in-ground sensors can provide a reliable warning of impending, dangerous landslides with hours to days notice, but that more work is needed to formalize the findings into an actionable warning system.
Roughly 70% of the California coast is made up of eroding coastal cliffs. These cliffs are home to important infrastructure like highways, railways, coastal access points, energy facilities, and structures, and can be deadly to beachgoers when a cliff collapse occurs.
In August 2019, at Grandview Beach in Encinitas, Calif., three women were killed following a 30-foot by 25-foot section of a cliff collapsing onto the beach. Other fatal events have occurred throughout the state in Big Sur, Santa Barbara, Point Reyes and San Francisco. The tragedy in Encinitas inspired California Assemblymember Tasha Boerner, whose district includes San Diego’s coastal North County, to introduce a bill, AB 66, and secure funding through the State budget, to enhance coastal monitoring to better understand the timing of bluff failures and help inform recommendations towards the development of a potential early landslide warning system.

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