71 citations · 95 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks
Elizabeth A. Barnes, Kirsten Mayer, Benjamin Toms +2
The atmosphere is chaotic. This fundamental property of the climate system makes forecasting weather incredibly challenging: it's impossible to expect weather models to ever provid…
Indicator patterns of forced change learned by an artificial neural network
Elizabeth A. Barnes, Benjamin Toms, James W. Hurrell +3
Many problems in climate science require the identification of signals obscured by both the "noise" of internal climate variability and differences across models. Following previou…
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff
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 lea…