4 citations · 4 across the 2 of their papers we have counts for
4 papers
Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach
Da Fan, David John Gagne, Gregory S Elsaesser +5
Perturbed parameter ensembles (PPEs) reveal how physics parameters affect climate simulations, but interpreting parameter sensitivities across multivariate, spatially structured ou…
A Self-Diagnosing Structural Error-Aware Parameter Estimation Method for Earth System Models
Qingyuan Yang, Addisu G Semie, Brian Medeiros +3
We propose a fully automated, structural error-aware, interpretable climate model parameter estimation method that leverages Perturbed Parameter Ensembles (PPEs). It is based on hi…
Near-surface Extreme Wind Events and Their Responses to Climate Forcings in a Hierarchy of Global Climate Models
G. Zhang, M. Rao, I. Simpson +4
Near-surface extreme winds profoundly affect human society, yet process-based understanding of their changes under climate forcings remains limited. This study systematically inves…
Perturbing parameters to understand cloud contributions to climate change
Margaret L. Duffy, Brian Medeiros, Andrew Gettelman +1
The sensitivity of cloud feedbacks to atmospheric model parameters is evaluated using a CAM6 perturbed parameter ensemble (PPE). The CAM6 PPE perturbs 45 parameters across 262 simu…