Welcome to the OGGM tutorials!

If you are new to jupyter notebooks or to jupyterlab, we recommend to have a look at our introduction to jupyter notebooks first!

If you are reading this from our webpage (https://oggm.org/tutorials), remember that each page displayed here is in fact a jupyter notebook! You can start an interactive version of these tutorials online with MyBinder by clicking on the “launch button” on the top right of this page (the little rocket 🚀).

Ready to go?

Beginner tutorials:

• getting_started will get you through all the steps of an OGGM run and explain the OGGM fundamentals

• working_with_rgi will show you how to read glacier outline files

• store_and_compress_glacierdirs: storing glacier directories for later use

• elevation_bands_vs_centerlines: comparing the two methods to compute glacier flowlines

• plot_mass_balance: fetch and plot the simulated mass-balance as well as other diagnostics

• area_length_filter: a short tutorial about how to filter spikes in the area and length outputs

• run_with_gcm: run a simulation with GCM data (CMIP5 projections)

• deal_with_errors: dealing with errors after a run

• inversion: run the OGGM ice thickness inversion model with various ice parameters

• hydrological_output: hydrological mass-balance output - New in version 1.5!

• oggm_shop: getting acquainted with the ideas behind GlacierDirectories in OGGM and how you can use the shop to add data to them

Advanced tutorials:

• preprocessing_errors: error analysis of the global pre-processing workflow

• run_with_a_spinup_and_gcm_data: start from a glacier state different than the inventory date

• dynamical_spinup: dynamic spinup for past simulations

• dem_sources: create local topography maps from different DEM sources with OGGM

• thickness_model: use OGGM to extract gridded attributes on a glacier (e.g. slope) and make a toy statistical model of ice thickness

• inversion_with_frontal_ablation: a case study about ice thickness inversion with frontal ablation

• kcalving_parameterization: the Oerlemans & Nick frontal ablation parameterization in OGGM

• merging_glaciers: a tutorial about how to merge two or more glaciers for advancing glacier scenarios

• use_your_own_inventory: use custom glacier inventories with OGGM - New in version 1.5.3!

• centerlines_to_shape: compute the centerlines for a custom inventory and DEM and write them to disk - New in version 1.5.3!

• massbalance_calibration: yet another way to show how the mass-balance calibration works, and tweak the model a little bit

• where_are_the_flowlines: how to access the OGGM flowlines location before, during, and after a run.

• ingest_gridded_data_on_flowlines: ingest gridded products such as ice velocity into OGGM (and compare them with model output) - New in version 1.5.3!

• merge_gcm_runs_and_visualize: how to merge different GCM runs into one dataset, analyse them on a regional scale and visualize with HoloViz

Other things:

• holoviz_intro: an introduction to the HoloViz vizualisation ecosystem (previously called PyViz)

• dem_comparison: compare the various DEMs available in OGGM

Have fun learning OGGM!

Package versions used to build this documentation:

# Package versions
from oggm.utils import show_versions
print(show_versions())

# OGGM environment: 
## System info:
    python: 3.10.10.final.0
    python-bits: 64
    OS: Linux
    OS-release: 5.15.0-1033-azure
    machine: x86_64
    processor: x86_64
## Packages info:
    oggm: 1.5.3
    numpy: 1.23.5
    scipy: 1.9.3
    pandas: 1.5.3
    geopandas: 0.12.2
    netCDF4: 1.6.3
    matplotlib: 3.7.1
    rasterio: 1.3.6
    fiona: 1.9.1
    pyproj: 3.4.1
    shapely: 2.0.1
    xarray: 2023.2.0
    dask: 2023.3.0
    salem: 0.3.10.dev1+gfe1a230
    OGGM git identifier: 4eeb7a964b58f27fc2e55163be768641f7f1ce20