OGGM (Open Global Glacier Model) is a modular and open-source global glacier dynamics model designed specifically for automatically processing global glacier catalog data and constructing coupled mass balance and flow models.

Historical background :

OGGM was developed by the OGGM team with the aim of providing an open-source global glacier model to support research on global glacier changes. The development of this model stems from the demand for automatic processing of global glacier catalog data and large-scale glacier simulation.

Technical features :

• Automatically process global glacier catalog data, reducing manual intervention

• Modular design, easy to expand and customize

• Coupling mass balance and flow models to achieve more realistic simulation of glacier evolution

• Support simultaneous simulation of tens of thousands of glaciers to achieve global scale glacier research

• Seamless integration with the Python scientific ecosystem for easy data processing and result analysis

• Provide rich documentation and tutorials for users to learn and use

Core functions :

Global glacier dynamics simulation • Automatic processing of global glacier catalog data

• Simulating tens of thousands of glaciers simultaneously

• Global monitoring of glacier mass balance changes

• Assessment of the Impact of Climate Change on Global Glaciers

• Glacier meltwater runoff prediction and water resource management

Application case :

• Monitoring and Analysis of Global Glacier Mass Balance Changes

• Global glacier evolution prediction under different climate scenarios

• Assessment of the contribution of glacier meltwater runoff to water resources

• Research on the contribution of glacier changes to sea level rise

• Regional scale glacier changes and water resource management

• Sensitivity analysis of global glaciers to climate change

Limitations :

• High computational cost, global scale simulation requires longer computation time

• High requirements for the quality and accuracy of input data • Limited ability to simulate detailed physical processes of individual glaciers

• The simulation of response to certain extreme climate events may not be accurate enough

• Direct coupling with climate models requires additional development work

Input parameters :

• Global Glacier Inventory Data (RGI - Randolph Glacier Inventory)

• Climate data (temperature, precipitation, radiation, etc.)

• Glacier physical parameters (rheological parameters, sliding parameters, etc. of ice)

• Terrain data (digital elevation model)

• Simulate time steps and duration

• Climate scenario data (for future forecasting)

Output result :

• Global or regional glacier mass balance changes

• Temporal and spatial variations in glacier thickness, area, and volume

• Glacier meltwater runoff

• The contribution of glaciers to sea level rise

• Glacier evolution prediction under different climate scenarios

• Spatial distribution of glacier changes