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The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. These models’ performances are limited as landslide databases used in developing them often miss crucial information, e.g., underlying movement types. This study introduces a method of discerning landslide movements, such as slides, flows, and falls, by analyzing landslides’ 3D shapes. By examining landslide topological properties, we discover distinct patterns in their morphology, indicating different movements including complex ones with multiple coupled movements. We...

<p>The record storm surge in October 2023 caused severe damage to the German Baltic coast. Effective adaptation scenarios to rising sea levels are therefore becoming increasingly urgent. In two recent studies, researchers at Kiel University have modelled both the flooding extent along the Baltic Sea coastal areas and, for the first time, two possible upgrades for current dike lines in high resolution. They modelled various storm surge and sea level rise scenarios. Their results show that, based on the current dike line, neither an increase nor managed realignment, i.e. controlled breachi...

Disaster losses are increasing and evidence is mounting that climate change is driving up the probability of extreme natural shocks1–3. Yet it has also&nbsp;proved politically expedient to invoke climate change as an exogenous force that supposedly places disasters beyond the influence of local and national authorities4,5. However, locally determined patterns of urbanization and spatial development are key factors to the exposure and vulnerability of people to climatic shocks6. Using high-resolution annual data, this study shows that, since 1985, human settlements around the world...

Retired Air Traffic Management programme manager Jean-Luc Marchand and ex A330 Captain Patrick Blelly gave a lecture on the MH370 flight’s refined trajectory at the Royal Aeronautical Society.

California has experienced enhanced extreme wildfire behaviour in recent years1–3, leading to substantial loss of life and property4,5. Some portion of the change in wildfire behaviour is attributable to anthropogenic climate warming, but formally quantifying this contribution is difficult because of numerous confounding factors6,7 and because wildfires are below the grid scale of global climate models. Here we use machine learning to quantify empirical relationships between temperature (as well as the influence of temperature on aridity) and the risk of extreme daily wildfire growth (&a...