71 citations · 73 across the 5 of their papers we have counts for
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physics.ao-ph2022★ 1 cited
An Interpretable Model of Climate Change Using Correlative Learning
Charles Anderson, Jason Stock
Determining changes in global temperature and precipitation that may indicate climate change is complicated by annual variations. One approach for finding potential climate change…
physics.ao-ph2020★ 71 cited
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…