Coupled simulation of landslide, tsunami, and ground deformation for the 2017 Nuugaatsiaq event in Greenland

Abstract. We investigated the entire sequence of the tsunami event led by a massive landslide on June 17, 2017, in Karrat Fjord, near Nuugaatsiaq village, western Greenland to understand the causality of this cascade mechanism. The seismological analysis from seven stations across Greenland allows to estimate the landslide volume. Then, we conducted sequential simulations, consisting of (1) the landslide’s descent into the fjord based on topography, (2) tsunami generation and large-scale propagation, and (3) ground deformation caused by tsunami-induced sea level changes, considering both static and elasto-dynamic solutions. A 1 m-height of sea level change may lead to a ground deformation up to 0.1–1.0 mm along the coastline, and this can be detected by a seismogram. This event provided a rare chance to validate our integrated model using local seismic records alone in the case of no coastal measurement. While the timing of simulated processes matches observations well, uncertainties in landslide volume remain a key factor influencing tsunami amplitude and coastal impact. The detailed seismic signals captured both near and far from the source shed light on the multi-stage dynamics of such cascading events and offer valuable input for improving hazard assessment in fjord-like environments, and suggests that alert systems based on seismic data are feasible, allowing to reduce tsunami risks in fjords in polar regions.

Authors

Institutions

Publication Details

Published
2025-09-18
DOI
https://doi.org/10.5194/egusphere-2025-3803
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coupled simulation of landslide, tsunami, and ground deformation for the 2017 Nuugaatsiaq event in Greenland

Hideo Aochi, Gonéri Le Cozannet, Tung‐Cheng Ho, Ruth Mottram et al.
Seismology and Earthquake Studies
article

Coupled simulation of landslide, tsunami, and ground deformation for the 2017 Nuugaatsiaq event in Greenland

Hideo Aochi, Gonéri Le Cozannet, Tung‐Cheng Ho, Ruth Mottram, Masumi Yamada, Arno Hammann
article en

Abstract

Abstract. We investigated the entire sequence of the tsunami event led by a massive landslide on June 17, 2017, in Karrat Fjord, near Nuugaatsiaq village, western Greenland to understand the causality of this cascade mechanism. The seismological analysis from seven stations across Greenland allows to estimate the landslide volume. Then, we conducted sequential simulations, consisting of (1) the landslide’s descent into the fjord based on topography, (2) tsunami generation and large-scale propagation, and (3) ground deformation caused by tsunami-induced sea level changes, considering both static and elasto-dynamic solutions. A 1 m-height of sea level change may lead to a ground deformation up to 0.1–1.0 mm along the coastline, and this can be detected by a seismogram. This event provided a rare chance to validate our integrated model using local seismic records alone in the case of no coastal measurement. While the timing of simulated processes matches observations well, uncertainties in landslide volume remain a key factor influencing tsunami amplitude and coastal impact. The detailed seismic signals captured both near and far from the source shed light on the multi-stage dynamics of such cascading events and offer valuable input for improving hazard assessment in fjord-like environments, and suggests that alert systems based on seismic data are feasible, allowing to reduce tsunami risks in fjords in polar regions.

Kyoto University (JP), Danish Meteorological Institute (DK), Asiaq Greenland Survey (GL), Bureau de Recherches Géologiques et Minières (FR)
European Commission, Grand Équipement National De Calcul Intensif, Nationale Geologiske Undersøgelser for Danmark og Grønland, National Supercomputing Center, Korea Institute of Science and Technology Information
Openalex Percentile: Top 87%
Seismology and Earthquake Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.