Sea ice forecasting using the IceNet library (Jupyter Notebook) published in the Environmental Data Science book

IceNet is a python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities. This projec...

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Bibliographic Details
Main Authors: Byrne, James, Ubald, Bryn Noel, This EDS book notebook contributors
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
sea-ice
forecast
cryosphere
antarctic
arctic
ice
machine learning
unet
deep learning
Antarc*
Antarctic
Sea ice
Online Access:https://doi.org/10.5281/zenodo.12613299
Description
Summary:IceNet is a python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities. This project demonstrates the use of the python library API for forecasting sea ice for a reduced dataset to demonstrate the end-to-end capabilities of IceNet, from source data download to forecast generation. If you use this software, please cite it as below.

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