Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

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 ...

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 ...

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

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 ...

Are organisations ready for the governance, accountability and strategic implications that come with handing climate analysis to algorithms?

Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...