324 citations · 971 across the 11 of their papers we have counts for
11 papers
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam +44
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderst…
Using Neural Networks to Learn the Jet Stream Forced Response from Natural Variability
Charlotte Connolly, Elizabeth A. Barnes, Pedram Hassanzadeh +1
Two distinct features of anthropogenic climate change, warming in the tropical upper troposphere and warming at the Arctic surface, have competing effects on the mid-latitude jet s…
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff
Convolutional neural networks (CNNs) have recently attracted great attention in geoscience due to their ability to capture non-linear system behavior and extract predictive spatiot…
Adding Uncertainty to Neural Network Regression Tasks in the Geosciences
Elizabeth A. Barnes, Randal J. Barnes, Nicolas Gordillo
A simple method for adding uncertainty to neural network regression tasks via estimation of a general probability distribution is described. The methodology supports estimation of…
Controlled abstention neural networks for identifying skillful predictions for classification problems
Elizabeth A. Barnes, Randal J. Barnes
The earth system is exceedingly complex and often chaotic in nature, making prediction incredibly challenging: we cannot expect to make perfect predictions all of the time. Instead…
Controlled abstention neural networks for identifying skillful predictions for regression problems
Elizabeth A. Barnes, Randal J. Barnes
The earth system is exceedingly complex and often chaotic in nature, making prediction incredibly challenging: we cannot expect to make perfect predictions all of the time. Instead…