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

Unlike strong supporters or firm opponents of climate policies, these individuals are confused about climate risk and ambivalent about supporting or opposing climate policy action.

The NeuralGCM model is the latest in a steady stream of research models that use advances in machine learning to make weather and climate predictions faster and cheaper.

New MIT Climate Model Uses Machine Learning To Make Better Local Predictions A new climate model can predict the effects of climate change at smaller scales.

More information about a predictive model developed that uses machine-learning algorithms to predict how rice yields will be affected by climate change.

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Now, authors of a new open-access paper published in the Journal of Advances in Modeling Earth Systems have found a method to leverage machine learning to utilize the benefits of current climate ...

Why 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 ...