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SEA ICE FORECASTS

IceNet is a free, open-source ecosystem for sea ice forecasting IceNet: Sea-Ice Forecasting. A Python based ecosystem 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 provides a high-level interface.

Philosophy: Simplicity, Best Practices and High Performance

About us

About IceNet

IceNet is a deep learning sea ice forecasting system developed by an international team and led by the British Antarctic Survey and The Alan Turing Institute. The original IceNet research model, published in Nature Communications, was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps. This version advanced the range of accurate sea ice forecasts, outperforming a state-of-the-art dynamical model (ECMWF SEAS5) in seasonal forecasts of summer sea ice, particularly for extreme sea ice events.

Since then, the IceNet team has focused on building an operational version of the model which forecasts on a daily resolution. The original research code was refactored into icenet - a library for operational forecasting. The icenet library can support further research efforts into AI-based operational sea ice forecasting.

In addition, several use cases and an ecosystem of service components are contained within this organization, supporting execution and downstream analysis.

For further information about the team involved, please look at the project pages at BAS or The Alan Turing Institute.

Components

Repositories

A subset of the repositories under the IceNet project to get started with.

icenet-notebooks

A selection of notebooks to get you started with the icenet library and its usage in various contexts, including it’s use as both a CLI (command-line interface) driven tool and API (application programming interface) library for integration into your own code. The notebooks show usage of the other two repositories.

icenet

The core IceNet Python library, including source code documentation.

icenet-pipeline

A high-level end-to-end pipeline from data ingestion through to forecast production and upload. It is built on top of the core icenet Python library.

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Team

The IceNet Team

Collaborators managing various aspects of the project.

The IceNet project is a collaboration between The Alan Turing Institute and British Antarctic Survey. It is made possible thanks to the contributions of many across the environmental research, data science and international sea-ice and ecosystems communities at large. The names here are only those who continually manage the project, but many more have been responsible for the innovation and research that makes IceNet “an infrastructure for the future”!