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physics.ao-ph2019
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…
stat.ME2019
New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks
Whitney K. Huang, Daniel S. Cooley, Imme Ebert-Uphoff +2
Understanding dependence structure among extreme values plays an important role in risk assessment in environmental studies. In this work we propose the network and the annual…