52 citations · 62 across the 6 of their papers we have counts for
6 papers
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
Benedikt Barthel Sorensen, Alexis Charalampopoulos, Shixuan Zhang +3
Due to the rapidly changing climate, the frequency and severity of extreme weather is expected to increase over the coming decades. As fully-resolved climate simulations remain com…
Statistics of extreme events in coarse-scale climate simulations via machine learning correction operators trained on nudged datasets
Alexis-Tzianni Charalampopoulos, Shixuan Zhang, Bryce Harrop +2
This work presents a systematic framework for improving the predictions of statistical quantities for turbulent systems, with a focus on correcting climate simulations obtained by…
Harnessing the instability mechanisms in airfoil flow for the data-driven forecasting of extreme events
Benedikt Barthel, Themistoklis Sapsis
This work addresses the data-driven forecasting of extreme events in the airfoil flow. These events may be seen as examples of the kind of unsteady and intermittent dynamics releva…
Reduced-space Gaussian Process Regression for Data-Driven Probabilistic Forecast of Chaotic Dynamical Systems
Zhong Yi Wan, Themistoklis P. Sapsis
We formulate a reduced-order strategy for efficiently forecasting complex high-dimensional dynamical systems entirely based on data streams. The first step of our method involves r…
Reduced order prediction of rare events in unidirectional nonlinear water waves
Will Cousins, Themistoklis P. Sapsis
We consider the problem of short-term prediction of rare, extreme water waves in unidirectional fields, a critical topic for ocean structures and naval operations. One possible mec…
The unsteady evolution of localized unidirectional deep water wave groups
Will Cousins, Themistoklis P. Sapsis
We study the evolution of localized wave groups in unidirectional water wave envelope equations (nonlinear Schrodinger (NLS) and modified NLS (MNLS)). These localizations of energy…