From flood warnings around Los Angeles to heavy snow in the Sierra, the storm systems are an abrupt shift from recent dry weather.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Ever wondered how the IMD knows rain is coming days in advance? From tracking Mediterranean storms to using the 'Arunika' ...

The actuarial profession is at an inflection point as actuaries focus on sustainability, implementing AI and collaborating ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission’s initiative to develop a highly accurate digital twin of the Earth, has been signed between the ...

Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of Global Navigation Satellite System-derived precipitable water vapor (GNSS-PWV) has ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

ABSTRACT: In the context of climate change and rapid urbanization, Beninese cities like Bohicon are increasingly exposed to frequent flooding. Estimating design flows for hydraulic drainage systems ...