26 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 26 cited
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
John S. Schreck, David John Gagne, Charlie Becker +13
Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive uncertainty estimates an…
physics.ao-ph2023
Benefits of Deterministic and Stochastic Tendency Adjustments in a Climate Model
William E. Chapman, Judith Berner
We develop and compare model-error representation schemes derived from data assimilation increments and nudging tendencies in multi-decadal simulations of the community atmosphere…