https://github.com/iuryt/fvcompy

Reading and analyzing FVCOM outputs with Python xarray.
https://github.com/iuryt/fvcompy

multidimensional multiindex ocean-modelling oceanography xarray

Last synced: 3 months ago
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Reading and analyzing FVCOM outputs with Python xarray.

• Host: GitHub
• URL: https://github.com/iuryt/fvcompy
• Owner: iuryt
• License: mit
• Created: 2022-03-14T12:22:46.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-10-05T13:57:18.000Z (over 2 years ago)
• Last Synced: 2024-06-11T16:40:32.303Z (almost 2 years ago)
• Topics: multidimensional, multiindex, ocean-modelling, oceanography, xarray
• Homepage:
• Size: 1.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          




  FVCOMpy





   Reading and plotting FVCOM outputs with Python xarray.



 



  

  Source: Advances in Computational Oceanography



**FVCOM** stands for Finite-Volume Coastal Ocean Model. This model uses an unique _unstructured grid_ that allows easily to setup focus points without having to nest different meshes. One of the only drawbacks is that the unstructured grid turns very difficult to _offline_ analyses. The model output also commonly use the same name for coordinates and dimensions. For instance, the model has sigma layers coordinate `siglay` that depends on `(siglay,node)`, crashing with `xarray` notion of coordinates (see discussion in [xarray #2233](https://github.com/pydata/xarray/issues/2233))

One of the main reason to create this repository is to _investigate alternatives_ for users to use FVCOM outputs in their researches, e.g. the [Northeast Coastal Ocean Forecast System (**NECOFS**)](http://fvcom.smast.umassd.edu/necofs/). The starting point is to create some tutorial notebooks showing solutions for reading and regriding FVCOM data to allow using `xarray` for multidimensional analysis. With time, we could try to wrap it as a `Python` package.



  NECOFS data

  



## Currently available tutorials

| Tutorial    | Badge       |

| ----------- | ----------- |

| 00-Getting Started      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/iuryt/FVCOMpy/blob/main/examples/00-GettingStarted.ipynb)      |