MQGeometry

KO | EN

gitlite — search

#hacktoberfest #ai #typescript #llm #android #rust #deep-learning #linux #windows #kubernetes #awesome-list #ios #openai #open-source

(★ 13)

Multi-layer quasigeostrophic (QG) solver on arbitraty geometries

MQGeometry Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# MQGeometry

Multi-layer QG model on arbitrary geometries implemented in Pytorch, [paper](https://doi.org/10.5194/gmd-17-1749-2024) accepted at Geoscientific Model Development.

DOI: 10.5194/gmd-17-1749-2024

## Implementation details

This solver solves layered Quasi-geostrophic equations, using the following ingredients:
  - Staggered grid for potential vorticity (PV) and streamfunction (SF)
  - Finite volume PV advection using upwinded WENO reconstructions
  - Elliptic solver using fast discrete sine transform diagonalization for PV inversion
  - Non-rectangular geometries handled with masks and Capacitance matrix method.

Please have a look at the [paper](https://doi.org/10.5194/gmd-17-1749-2024) for more details.

## Requirements

Tested on Intel CPUs and CUDA GPUs.

Python 3.7

```
torch >= 2.0
numpy
matplotlib
```

Also works with ROCm 5.7 and AMD MI210 GPU. When installing torch, simply point to the rocm index
```pip3 install torch --index-url https://download.pytorch.org/whl/rocm5.6```

## Examples

Scripts `double_gyre.py`, `vortex_shear.py`, and `vortex_wall.py` run resp. double gyre, Rankine vortex shear instabiltiy, and vortex-wall interaction numerical experiments.

## Citation

If you use this work please cite

```
@Article{gmd-17-1749-2024,
  AUTHOR = {Thiry, L. and Li, L. and Roullet, G. and M\'emin, E.},
  TITLE = {MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries},
  JOURNAL = {Geoscientific Model Development},
  VOLUME = {17},
  YEAR = {2024},
  NUMBER = {4},
  PAGES = {1749--1764},
  URL = {https://gmd.copernicus.org/articles/17/1749/2024/},
  DOI = {10.5194/gmd-17-1749-2024}
}
```
## Acknowledgments

Louity acknowledges the support of the ERC EU project 856408-STUOD for the development of this package.

MQGeometry

MQGeometry Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

MQGeometry

MQGeometry Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README