The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

Internal variability in the climate system confounds assessment of human-induced climate
change and imposes irreducible limits on the accuracy of climate change projections …

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …

Earth system models (ESMs) are our main tools for quantifying the physical state of the Earth
and predicting how it might change in the future under ongoing anthropogenic forcing. In …

Leveraging artificial neural networks (ANNs) trained on climate model output, we use the
spatial pattern of historical temperature observations to predict the time until critical global …

Partitioning uncertainty in projections of future climate change into contributions from
internal variability, model response uncertainty and emissions scenarios has historically …

The popularity and application of artificial intelligence (AI) are increasing rapidly all around
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …

Neural networks have become increasingly prevalent within the geosciences, although a
common limitation of their usage has been a lack of methods to interpret what the networks …

Artificial intelligence (AI) refers to machines that are trained to perform tasks associated with
human intelligence, interpret external data, learn from that external data, and use that …

Convolutional neural networks (CNNs) have recently attracted great attention in geoscience
because of their ability to capture nonlinear system behavior and extract predictive …