1.
1. Using explainable AI methods with artificial neural networks
(ANNs) reveals climate patterns in large ensemble simulations
2. Metric proposed for quantifying the uncertainty of an ANN
visualization method that extracts signals from different
external forcings
3. ANN trained using a large ensemble simulation without time-
evolving aerosols makes more accurate predictions of real
world data
Zachary M. Labe & Elizabeth A. Barnes
Department of Atmospheric Science at Colorado State University
14 January 2021 – 1:15 PM to 1:20 PM (EST)
20th Conference on Artificial Intelligence for Environmental Science
101st AMS Annual Meeting (Paper 11.2)
DISENTANGLING CLIMATE FORCING IN SINGLE-FORCING
LARGE ENSEMBLES USING NEURAL NETWORKS
Aerosol-driven
Greenhouse gas-driven
All forcings
LRP –
(LRP)