A machine learning model discovers that ~60% of Americans are confused about climate risk and ... focused on incorporating human social system feedbacks into climate and epidemiological models.

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Machine learning models are based on algorithms that learn patterns in the data they are fed with, then use this learning to make predictions. Because climate and weather systems are highly ...

GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan ...

“Then we can use those equations in a coarser model that we can run for hundreds of years.” While a full climate model based solely on machine learning may remain out of reach, the team found that ML ...

In a paper published in the March 18, 2024, issue of the Proceedings of the National Academy of Sciences, Diane Wang, an assistant professor in Purdue’s Department of Agronomy, and her post-doctoral ...

Climate models are a key technology in predicting the impacts of climate change. By running simulations of the Earth’s climate, scientists and policymakers can estimate conditions like sea level rise, ...

Mierk: The methods for refining and accelerating climate models will be used to develop a version of the German climate model ICON that has been improved using machine and quantum machine learning ...

Machine learning models are based on algorithms that learn patterns in the data fed to them and then use this learning to make predictions. Because climate and weather systems are highly complex, ...