debris_cover_smb

Tools and notebooks for processing high-resolution digital elevation models (DEMs), preparing dense 3D displacement products, correcting for ice flow and computing seasonal to annual surface mass balance (SMB) rates for debris-covered glaciers.

Please see Bhushan et al. (2024) open-access Journal of Glaciology publication for details.

Figure 1: Schematic of steps to prepare Lagrangian Surface Mass Balance from stereo DEMs. Eulerian/Lagrangian illustration from flowillustrator. WorldView satellite graphic from Maxar.

Table of contents

• Functions Library

  • glac_dyn.py: functions for flow correction, mass balance computation, and statistics computation
  • constants.py: commonly used variables and data management
  • geospatial.py: basic geospatial functions

• Scripts

  • compute_glacier_smb.py: Wrapper script to compute SMB from DEMs and velocity maps
  • disp_mgm_corr.py: Wrapper script to compute velocity maps from pairs of shaded relief maps

• Analysis Notebooks

  • download_supporting_data.ipynb: Utilities to download ancillary data (e.g., ice thickness, debris thickness)
  • icethickness_sensitivity.ipynb: Assess flux divergence sensitivity due to ice thickness
  • Cliff_sensitivity_analysis.ipynb: Confusion matrix analysis for ice cliffs maps, Black Changri Nup Glacier
  • propagate_uncertainty_upgraded_formula.ipynb: Uncertainty estimation and uncertainty figure generation
  • Glacier_description_table.ipynb: Compile statistics for the study sites glacier stats table
  • Vel_DhDt_uncertainty.ipynb: Uncertainty estimates for velocity and Lagrangian DhDt products
  • Flux_check.ipynb: Verify volume conservation before and after application of adaptive Gaussian filtering
  • ChangriNup_annual_paper.ipynb: Black Changri Nup Annual SMB estimation
  • Hugonnet_et_al_contribution_by_hma.ipynb: Contribution by HMA glaciers to SLR from Hugonnet et al. 2021 used for introduction section in the current study

• Figure Notebooks

  • SMB_maps.ipynb: Multi-panel SMB maps
  • SMB_profile.ipynb: Supplementary SMB profile figure
  • StudyArea.ipynb: Panels for study area figure
  • adaptive_filter_figure.ipynb: Adaptive filter illustration figure
  • changrinup_seasonal.ipynb: Black Changri Nup seasonal maps
  • imja_zoomin_highres.ipynb: Zoom-in panels for Imja Glacier
  • khumbu_zoomin_highres.ipynb: Zoom-in panels for Khumbu Glacier
  • summary_figure.ipynb: Ice cliff summary figure
  • lirung_ts.ipynb: Lirung Glacier seasonal time series

• Processing Notebooks

  • velocity_cleanup: Notebooks to remove velocity anomaly and fill gaps using Gaussian filters

• Document to produce SMB maps step by step

Contact us

If you encountary any issues or would like to discuss new applications with these tools, please feel free to reach out to Shashank Bhushan ([email protected]) :D

Citation

If you use these tools for research purposes, please cite the publicaiont and the appropriate Zenodo DOI for the corresponding version:

Bhushan S, Shean D, Hu J-YM, Guillet G, Rounce DR (2024). Deriving seasonal and annual surface mass balance for debris-covered glaciers from flow-corrected satellite stereo DEM time series. Journal of Glaciology. 2024;70:e6. doi:10.1017/jog.2024.57

Bhushan S, Shean D (2024), uw-cryo/debris_cover_smb (0.X). Zenodo. https://doi.org/10.5281/zenodo.10622092