A growing body of peer-reviewed research is giving scientists new tools to isolate the distinct climate signals left behind by volcanic mega-eruptions and extreme wildfires, two forces that can alter ...

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 ...

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists ...

Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...

The History of Failed Apocalyptic Forecasts Let's be real, we've heard it all before. Such doomsday predictions have been ...

As Raipur expands, the Kharun River Basin faces intensifying floods and sediment loads. Explore how climate change and land-use shifts are erasing the predictability of India’s monsoon heartland.

Fifty years into the project of modeling Earth’s future climate, we still don’t really know what’s coming. Some places are warming with more ferocity than expected. Extreme events are taking ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The accelerating impacts of climate change threaten the progress of sustainable development by exacerbating environmental ...