Data and information management

In the aftermath of the devastating 7.7 magnitude earthquake struck Myanmar on 28 March 2025, misleading AI-generated content spread widely, highlighting the dangerous intersection of technology and humanitarian crises.

The Insurance Development Forum Risk Modelling Steering Group has launched a new web page housing a suite of free, open-access risk modelling tools designed to advance climate and disaster risk understanding and quantification of disaster risk globally.

The Aerosol Wind Profiler instrument seeks to fill these gaps, enabling extremely precise measurements of wind direction, wind speed, and aerosol concentration – all crucial elements for accurate weather forecasting.

Using data from a technology called distributed acoustic sensing (DAS), researchers developed a method to provide warnings up to 30 minutes in advance of lava eruptions. The method offers a way to volcanic activity and provide early warnings.

This study develops a machine learning-based wildfire susceptibility model for Germany, using data between 2003 and 2023, to identify the dominant wildfire predictors and create monthly susceptibility maps.

Secondary gravity waves emerge as the hidden architects of global-scale thermospheric upheaval following the Tonga eruption in 2022.

Researchers are exploring new technologies for short-term earthquake forecasting and prediction, including the application of the LAIC approach to the 2015 Gorkha earthquakes in Nepal.

Swell waves are created by distant weather systems, such as storms far away, and travel long distances. They may still be present even if the local wind is calm. This makes the predicting of swells and waves a complex science.