3 papers
cs.CC2026
The Ice Sheet State and Parameter Estimator (ICESEE) Library (v1.0.0): Ensemble Kalman Filtering for Ice Sheet Models
Brian Kyanjo, Talea L. Mayo, Alexander A. Robel
ICESEE (ICE Sheet statE and parameter Estimator) is a Python-based, open-source data assimilation framework designed for seamless integration with ice sheet and Earth system models…
cs.LG2026
Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles
Jacquelyn Shelton, Przemyslaw Polewski, Alexander Robel +2
Large climate-model ensembles are computationally expensive; yet many downstream analyses would benefit from additional, statistically consistent realizations of spatiotemporal cli…
math.DS2022
Ensemble Kalman Filtering for Glacier Modeling
Emily Corcoran, Logan Knudsen, Talea Mayo +2
Working with a two-stage ice sheet model, we explore how statistical data assimilation methods can be used to improve predictions of glacier melt and relatedly, sea level rise. We…