Assets and downloads
====================
This page lists some datasets that are either generated or used by OGGM and
that can be useful to others.
Shapefiles of glacier centerlines, flowlines and widths
-------------------------------------------------------
These variables are a standard output of OGGM, and can be useful to many.
You will find the files here: https://cluster.klima.uni-bremen.de/~oggm/assets/oggm_v1.4/centerlines_shapes.
The following files are available:
- RGIxx_centerlines: the geometrical centerlines
- RGIxx_flowlines: the centerlines converted to "flowlines", i.e. interpolated to a regular grid and where upslope trajectories are cropped
- RGIxx_geom_widths: the geometrical intersection of the flowlines' normals with the glacier outlines
- RGIxx_widths: the geometrical widths corrected to reflect the glacier's elevation-area distribution
If you use these data, please cite `Maussion et al., 2019 `_.
.. figure:: _static/assets_shapes.png
:width: 100%
:align: left
Shapefile of OGGM's flowlines and widths for a subset of RGI region 15
RGI-TOPO
--------
The `RGI-TOPO `_ dataset
provides a local topography map for each single glacier in the RGI (currently version 6).
It was generated with OGGM, and can be used very easily from the :doc:`input-data` (visit
our `tutorials `_ if you want to learn how to use them!).
.. figure:: _static/malaspina_topo.png
:width: 100%
:align: left
Example of the various RGI-TOPO products at Malaspina glacier
Useful data tables
------------------
These data are tabular summary from available global datasets:
- https://cluster.klima.uni-bremen.de/~oggm/rgi/rgi62_stats.h5: the global RGI stripped from the geometries
- https://cluster.klima.uni-bremen.de/~oggm/g2ti/rgi62_itmix_df.h5: ice volumes from [Farinotti_etal_2019]_ in tabular form
- https://cluster.klima.uni-bremen.de/~oggm/geodetic_ref_mb/hugonnet_2021_ds_rgi60_pergla_rates_10_20_worldwide_filled.hdf: glacier geodetic mass balance data from `Hugonnet et al., 2021 _` corrected for RGI region 12 and missing glaciers, in tabular form
- `an example of OGGM output summary `_
from the pre-processed directories. Useful outputs include terminus position, topographical
variables, etc.
HDF files can be read with `pandas' read_hdf `_ function.