Assessing Decadal Predictability in an Earth‐System Model Using Explainable Neural Networks
Autor: | Benjamin A. Toms, Elizabeth A. Barnes, James W Hurrell |
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Rok vydání: | 2021 |
Předmět: |
Quantitative Biology::Neurons and Cognition
Artificial neural network business.industry Computer science Computer Science::Neural and Evolutionary Computation Physics::Geophysics Fully coupled Geophysics General Earth and Planetary Sciences Earth system model Astrophysics::Earth and Planetary Astrophysics Artificial intelligence Predictability business |
Zdroj: | Geophysical Research Letters. 48 |
ISSN: | 1944-8007 0094-8276 |
Popis: | We show that explainable neural networks can identify regions of oceanic variability that contribute predictability on decadal timescales in a fully coupled Earth system model. The neural networks ... |
Databáze: | OpenAIRE |
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