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?
New! The 10 minutes tutorials:
These new tutorials are designed to illustrate one single OGGM concept at a time. They are a good way to get started with OGGM, or for returning users to learn about new features!
10 minutes to… a preprocessed directory (start with this tutorial if you are new to OGGM)
10 minutes to… a glacier change projection with GCM data
10 minutes to… OGGM as an accelerator for modelling and machine learning
10 minutes to… “elevation band” and “centerline” flowlines
10 minutes to… the new dynamical spinup in OGGM v1.6
working_with_rgi will show you how to read glacier outline files and prepare them for a run
store_and_compress_glacierdirs: storing glacier directories for later use
plot_mass_balance: fetch and plot the simulated mass-balance as well as other diagnostics
distribute_flowline: compute area and thickness changes from the flowline on a 2D grid (experimental!)
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
oggm_shop: getting acquainted with what’s happening under the hood in OGGM GlacierDirectories, and how you can use the shop to add data to them
full_prepro_workflow What’s in your preprocessed directories? A full OGGM workflow, step by step
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 RGI inventory date
dem_sources: create local topography maps from different DEM sources with OGGM
use_your_own_inventory: use custom glacier inventories with OGGM
centerlines_to_shape: compute the centerlines for a custom inventory and DEM and write them to disk
massbalance_calibration: A look into the new mass balance calibration in OGGM v1.6
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)
merge_gcm_runs_and_visualize: how to merge different GCM runs into one dataset, analyse them on a regional scale and visualize with HoloViz
Related to OGGM:
holoviz_intro: an introduction to the HoloViz vizualisation ecosystem (previously called PyViz)
dem_comparison: compare the various DEMs available in OGGM
Tutorials in (re-)construction:
dynamical_spinup: a deeper dive into the dynamical spinup for past simulations (to be repaired for v1.6)
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
area_length_filter: a short tutorial about how to filter spikes in the area and length outputs
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: 3.10.11.final.0 python-bits: 64 OS: Linux OS-release: 5.15.0-1037-azure machine: x86_64 processor: x86_64 ## Packages info: oggm: 1.6.1.dev20+g01cba8b numpy: 1.24.3 scipy: 1.10.1 pandas: 2.0.1 geopandas: 0.13.0 netCDF4: 1.6.3 matplotlib: 3.7.1 rasterio: 1.3.6 fiona: 1.9.3 pyproj: 3.5.0 shapely: 2.0.1 xarray: 2023.4.2 dask: 2023.4.1 salem: 0.3.10.dev1+gfe1a230 OGGM git identifier: fdf95a60ea2154340278f3198945ef5b73e37f20