UChicago Climate Extremes Theory and Data (CeTD) Group

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1. py2d py2d Public

   Python 2D Navier-Stokes solver

   Python 32 10

2. MEDIDA_QG MEDIDA_QG Public

   Forked from rmojgani/MEDIDA_QG

   Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case

   Python

3. MEDIDA MEDIDA Public

   MEDIDA: Model Error Discovery with Interpretability and Data Assimilation

   Python 4 1

4. machine_learning_for_climate machine_learning_for_climate Public

   Forked from ashesh6810/machine_learning_for_climate

   A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns

   MATLAB 1 2

5. Data-driven-super-parametrization-with-deep-learning Data-driven-super-parametrization-with-deep-learning Public

   Forked from ashesh6810/Data-driven-super-parametrization-with-deep-learning

   Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning

   Python 1 2

6. LPINNs LPINNs Public

   Forked from rmojgani/LPINNs

   Python