hrkz / torchqgLinks
Quasi-geostrophic spectral solver in PyTorch
☆18Updated 3 years ago
Alternatives and similar repositories for torchqg
Users that are interested in torchqg are comparing it to the libraries listed below
Sorting:
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆49Updated 6 years ago
- ☆58Updated last year
- PyDA: A hands-on introduction to dynamical data assimilation with Python☆73Updated 4 years ago
- Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"☆11Updated 2 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆36Updated 8 months ago
- Quasigeostrophic model in python☆149Updated 5 months ago
- explore the FV3 data for parameterization☆17Updated 10 months ago
- A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.☆38Updated 2 years ago
- Shallow water equations solver with finite differences written in Python. Arakawa C-grid, Arakawa and Lamb advection scheme, Shchepetkin …☆48Updated 2 years ago
- Use Deep Learning in Data Assimilation☆53Updated 10 months ago
- A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.☆40Updated 5 months ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆13Updated 3 years ago
- This repository describes eNATL60 simulations performed by Ocean Next and the MEOM group @ IGE in 2019.☆27Updated 2 years ago
- One-dimensional DNS and LES of Burgers turbulence written in Python☆30Updated last year
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆19Updated 3 years ago
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆11Updated 4 months ago
- a non-hydrostatic incompressible ocean model based on CROCO☆15Updated 5 years ago
- ☆14Updated 2 years ago
- Code for neural network parameterization project☆19Updated 2 years ago
- This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter est…☆52Updated 7 months ago
- Python code for data assimilation methods☆51Updated 2 years ago
- Pytorch bindings for Fortran☆95Updated last year
- A library for directly calling PyTorch ML models from Fortran.☆158Updated 2 weeks ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Updated 7 years ago
- A python based infrastructure for cloud large eddy simulation.☆95Updated last year
- Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab☆31Updated this week
- EnKF for Lorenz 96 model☆21Updated last year
- A versatile Python-Fortran CFD code that solves a large class of 2D flows☆66Updated last year
- Call XGBoost from Fortran☆12Updated 2 years ago
- Invert geophysical fluid dynamic problems (elliptic partial differential equations) using SOR iteration method.☆57Updated this week