Gulf-Stream	OSnet is a python library to make T/S/MLD predictions in the Gulf Stream region using Neural Network
Methodology	Pauthenet et al, 2022 Method source code: https://github.com/euroargodev/OSnet
OSnet gridded dataset
OSnet software to make your own predictions

Documentation

The folder docs contains many advanced notebooks to get you started with making your OSnet predictions.

Install

pip install git+http://github.com/euroargodev/OSnet-GulfStream.git

To create the OSnet python development environment, you can:

conda env create -f ci/requirements/py3.8-dev.yml

Then, to make it available in Jupyter notebooks:

python -m ipykernel install --user --name=OSnet

Usage

Import library:

import osnet
import xarray as xr

Prepare inputs:

ds_in = xr.DataSet([...])

Load model and make prediction:

model = osnet.load('Gulf-Stream')
ds_out = model.predict(ds_in)
ds_out = model.predict(ds_in, adjust_mld=False)  # Do not perform MLD adjustment

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This repository has been developed at the Laboratory for Ocean Physics and Satellite remote sensing, Ifremer, within the framework of the Euro-ArgoRISE project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 824131. Call INFRADEV-03-2018-2019: Individual support to ESFRI and other world-class research infrastructures.