Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Seasonal climate forecasting is important for societal welfare, as it supports decision-makers in taking proactive steps to mitigate risks from adverse climate conditions or to take advantage of ...

The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy. Forecasting epidemic progression is a ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The temperature of rivers is something most people think about only if they plan to go swimming, kayaking or spend a day ...

A groundbreaking AI model, GenCast, is revolutionizing weather forecasting by generating rapid, probabilistic global predictions for up to 15 days. Unlike traditional methods, it captures uncertainty ...

In this article we explore how AI improves hurricane forecasts, weigh the advantages and drawbacks, and look ahead to the ...