557 citations · 1.9k across the 20 of their papers we have counts for
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Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Oliver R. A. Dunbar, Alfredo Garbuno-Inigo, Tapio Schneider +1
Parameters in climate models are usually calibrated manually, exploiting only small subsets of the available data. This precludes both optimal calibration and quantification of unc…
Ensemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data
Tapio Schneider, Andrew M. Stuart, Jin-Long Wu
Enforcing sparse structure within learning has led to significant advances in the field of data-driven discovery of dynamical systems. However, such methods require access not only…
Learning Stochastic Closures Using Ensemble Kalman Inversion
Tapio Schneider, Andrew M. Stuart, Jin-Long Wu
Although the governing equations of many systems, when derived from first principles, may be viewed as known, it is often too expensive to numerically simulate all the interactions…
Calibrate, Emulate, Sample
Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan +2
Many parameter estimation problems arising in applications are best cast in the framework of Bayesian inversion. This allows not only for an estimate of the parameters, but also fo…