Abstract The application of Artificial Intelligence in various fields has witnessed tremendous
progress in the recent years. The field of geosciences and natural hazard modelling has …

Societally relevant weather impacts typically result from compound events, which are rare
combinations of weather and climate drivers. Focussing on four event types arising from …

In 2022, Europe faced an extensive summer drought with severe socioeconomic
consequences. Quantifying the influence of human-induced climate change on such an …

The field of extreme event attribution (EEA) has rapidly developed over the last two decades.
Various methods have been developed and implemented, physical modelling capabilities …

Climate change can alter the frequency and intensity of extreme rainfall across the globe,
leading to changes in hazards posed by rainfall-induced landslides. In recent decades …

Natural hazards could have devastating consequences globally, making hazard assessment
and spatial prediction crucial for enhancing the resilience of urbanized regions. However …

Understanding how rainfall events influence the pattern and magnitude of landslide
response is an important research focus from geomorphological and hazard planning …

Shallow landslide initiation typically results from an interplay of dynamic triggering and
preparatory conditions along with static predisposition factors. While data-driven methods for …

The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …

Compound climate extremes (here referred to compound dry–hot events and compound
pluvial–hot events) result in devastating disasters which threaten water‐food‐energy …