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https://github.com/odinn-sciml/massbalancemachine

Global machine learning glacier mass balance model, capable of assimilating all sources of glaciological and remote sensing data
https://github.com/odinn-sciml/massbalancemachine

climate glaciers machine-learning remote-sensing

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Global machine learning glacier mass balance model, capable of assimilating all sources of glaciological and remote sensing data

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# MassBalanceMachine

A bridge between mass balance modelling and observations. Global machine learning glacier mass balance modelling that assimilates all glaciological and remote sensing data sources.

- 🏔️ MassBalanceMachine takes meteorological, topographical and/or other features to predict the surface mass balance of glaciers for a region of interest.
- ❄️ MassBalanceMachine uses glaciological (stake) and geodetic mass balance data as targets.
- 📅 MassBalanceMachine can make predictions or fill data gaps on an annual, seasonal (summer and winter), and monthly temporal scale for any spatial resolution.

> [!IMPORTANT]
> This project is in **ongoing development**, and new features will be added over the coming months. Please see the [contribution guidelines](#contribution-guidelines) for more information on contributing to this project.

## Installation

Please refer to the [installation instructions](https://massbalancemachine.readthedocs.io/en/latest/install.html) of the documentation.

## Contributors



khsjursen
khsjursen

🔬 💻 🤔 🔣
Jordi Bolibar
Jordi Bolibar

🔬 📆 💵 🤔 🧑‍🏫
Marijn
Marijn

🤔 🔣 🔬 💻 🚧
zekollari
zekollari

🔬 💵 🤔 🧑‍🏫
Alban Gossard
Alban Gossard

💻 🔬 🚧 📖
Julian
Julian

💻 📖🔣 🔬

## Support

For support and assistance, please refer to the [support](https://massbalancemachine.readthedocs.io/en/latest/support.html) page of the documentation.