Natural and engineered, nature-based structures offer promise for storm-related disaster risk reduction and flood mitigation, as long as researchers can adequately monitor and study them.
By segmenting the vertical structure of a lava flow, the Lava2d model provides more realism to operational lava forecasts.
A hypothetical, space weather–induced power grid catastrophe served as a practice case for building unity and collaborative skills among disparate communities to address a major global hazard.
The recent eruption of the Hunga Tonga–Hunga Ha‘apai volcano blasted sulfate aerosols and a record-breaking amount of water vapor into the stratosphere.
A new machine learning approach trained on winter and spring climate conditions offers improved forecasts of summer fire activity across the western United States.
A new project looks to unearth information about and learn from ancient underwater landslides buried deep beneath the seafloor to support New Zealand’s resilience to natural hazards.
Les images satellite permettent de mesurer les oscillations du lac de lave du Nyiragongo (RD Congo). Ces mesures renseignent sur la dynamique du volcan et aident à anticiper ses éruptions futures.
Satellite data from Nyiragongo Volcano, Democratic Republic of Congo, track changes in summit-crater lava levels that provide a window into eruption dynamics and aid in forecasting future activity.
Waveform inversion of regional earthquakes reveals velocity anomalies interpreted as subducting seamounts that control an enigmatic segmentation in plate coupling along the Hikurangi margin.
A simple, yet quantitative, index is demonstrated to quantify reductions in the peak flood resulting from multiple reservoirs, arranged in series along the same river reach.