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mb_clusterreg

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Cluster-wise Regression Reveals Drivers of Present-Day Glacier Changes

TODO: add link paper

This dataset contains glacier-level data used for cluster-wise glacier mass-balance regression.

CSV data

df_mb_with_morpho_and_clim_GSWP3_W5E5.csv contains one row per glacier, indexed by RGI ID. It includes selected morphological predictors, climate anomalies, location/region metadata, projected coordinates, observed mass balance (mb), and mass-balance uncertainty (mb_err). The main predictors used here are:

  • slope_20prc
  • z_mean
  • area_debris_prc
  • norm_contrib_area
  • temp_anom_2000_to_2019
  • prcp_anom_2000_to_2019

Cluster GeoPackages

The files in clusters_geocoded/ contain geocoded glacier points for each analysis region. Each file includes the glacier attributes above, a selected cluster label, and the full set of available clustering labels (clabels_*) for different numbers of clusters.

Cluster labels were generated with the SpatialRegWard method. The GeoPackage geometries are point locations reprojected to the local CRS used for each region.