Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical. A recent study has employed ...