Natural Hazards

When multiple hazards interact and the data doesn’t: The multi-hazard modelling problem nobody wants to talk about

Pablo Lopez Filun June 15, 2026

Image credit: ChatGPT (Open AI)

There is a quiet contradiction at the heart of natural hazard science. The regions most exposed to multi-hazard events are precisely the regions where we know the least. The Global South (comprising lower- and middle-income countries in Africa, Asia, Latin America and the Caribbean) is disproportionately affected by climate-related natural hazards, yet it is largely underrepresented in climate res ...[Read More]

Knowing better, but still losing more: why disaster risk reduction breaks down

Sven Fuchs, Konstantinos Karagiorgos, Margreth Keiler, Lars Nyberg, Maria Papathoma-Köhle and Annemarie Polderman May 11, 2026

Image generated using ChatGPT 5.4

The surviving house in Pacific Palisades became one of the most discussed images from the 2025 California wildfires (Fig. 1). What makes it scientifically interesting, though, is not that it survived. It is that many of the features associated with the house’s survival – a more fire-resistant exterior, stronger windows, and details that reduce ember entry – are already well known. This case points ...[Read More]

Assessment of multiple predictors to the psychological effects of flooding for residential and business sectors in Peninsular Malaysia

Shabir Ahmad Kabirzad, Balqis M. Rehan, Edmund C. Penning-Rowsell, Zed Zulkafli, Badronnisa Yusuf, Bakti Hasan-Basri and Mohd Ekhwan Toriman April 29, 2026

The summary of the study developed using Generative Ai

Experiencing a severe flood can lead to profound emotional and mental distress, including anxiety, depression, and long-term stress. These mental health struggles often stem from the trauma of losing cherished possessions, disrupted daily routines, or the terrifying threat to personal safety and the lives of loved ones. Yet, because mental well-being is an “intangible” loss, it is freq ...[Read More]

Multi-Risk Forecasting: Operational Reality or Scientific Ambition?

Christopher J. White, Hedieh Soltanpour, Mario Bianco, Emma Brown and Darren Lumbroso April 27, 2026

A collective moment from the Glasgow workshop (25 March 2026), where researchers and operational experts came together to explore the challenges of multi-risk impact-based forecasting and warning systems. Image credit (Chris White)

Reflections from a workshop on multi-risk impact-based forecasting and warning systems for weather-related hazards. With mounting evidence that hazards rarely occur in isolation, the question is no longer whether multi-risk impact-based forecasting and warning systems are needed, but how to build them [1]. Yet, moving beyond single-hazard thinking towards genuinely multi-hazard and t ...[Read More]