Data assimilation for the parameterization of ocean turbulence
Tools for assimilating 'data' - simulation data, actual observed ocean data, or otherwise - to estimate parameters and functions in simplified models for ocean turbulence.
Gregory L. Wagner and Andre Souza.
Material for the CMU Quarks2Cosmos Conference Data Challenges
Oceananigans + ParameterEstimocean code for calibrating models of convective- and wind-driven mix...
Large Eddy Simulation with dedalus
An approach for detecting tsunamis using anomaly detection anomalies on sTec d/dt data from orbit...
ISR Data Simulator
Tutorial on visualising data in Python: matplotlib, pandas, seaborn, plotly...
Shallow Water Equations in Python
Latex source and figures for my PhD thesis. Slides for the thesis defense.
Bechmarking seq2seq models on a range of multivariate regression datasets
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil...
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Tutorials and scripts that teach ocean-flavored fluid dynamics with Oceananigans