NH
Natural Hazards

Natural Hazards

Natural Hazards 101: Forecasting and modelling

Natural Hazards 101: Forecasting and modelling

With the Natural Hazards 101 series, we mean to bring our readers closer to the terminology often used in the field of natural hazards, but that may not be so familiar. In the first episode of the series, we focused on the definition of hazard and natural hazard. We moved then to the concept of risk, which brought us to define exposure and vulnerability. Later on, we digested the disaster terminol ...[Read More]

Meet and greet with the Natural hazards Early career scientists Team – NhET

Meet and greet with the Natural hazards Early career scientists Team – NhET

Do you know that there is a Natural Hazards team of clever, fun and friendly early career scientists? This team takes care of the blog you are reading (and we hope enjoying) and organises and helps with sessions, short courses and great debates during the EGU General Assembly. Moreover, we created a network of early to mid-career scientists from different disciplines and backgrounds of the Natural ...[Read More]

Paving the way for climate resilience: what can we learn from the coronavirus pandemic?

Paving the way for climate resilience: what can we learn from the coronavirus pandemic?

Even though significant epidemics and pandemics have been recorded many times throughout human history, the Covid-19 pandemic demonstrated how vulnerable our societies still are. While the consequences of the pandemic are still ongoing, the global response so far can potentially offer some insights to support climate change response. Undoubtedly, the world is already experiencing a wide range of c ...[Read More]

Artificial intelligence for disaster management: that’s how we stand

Artificial intelligence for disaster management: that’s how we stand

On the 23rd of June, I participated in the Second Workshop for AI (Artificial Intelligence) for Natural Disaster Management that hosted around 400 scientists, UN advisors, practitioners and policymakers from all over the world interested in machine learning for supporting disaster prediction and early warning. AI is not my research area; however, I have always been interested in the new advances t ...[Read More]