Published May 30, 2026 | Version v1

IceBoost v2.0 Regional Merged Mosaics for RGI v6.0 and RGI v7.0

  • 1. ROR icon Ca' Foscari University of Venice
  • 2. ROR icon University of California, Irvine
  • 3. ROR icon Jet Propulsion Laboratory
  • 4. ROR icon Dartmouth College
  • 5. ROR icon University of Copenhagen

Description

This repository contains the IceBoost v2.0 regional merged mosaics for Randolph Glacier Inventory (RGI) v6.0 and v7.0.

  • RGI v.6: regional folders from 1 to 19.
  • RGI v.7: regional folders from 1 to 19.

Each .tif file contains the distributed ice thickness of all glaciers merged together. The files have the following format: iceboost_20251009_rgixx_vyy_epsg_zzzz.tif

- xx: value from 1 to 19
- yy: 62 for RGI6 or 70G for RGI7.
- zzzz: epsg regional code.

(example iceboost_20251009_rgi4_v70G_epsg_32617.tif).

File Data layers

  • IceBoost v2.0-modeled ice thickness
  • Monte Carlo-modeled ice thickness uncertainty
  • Jensen Gap
  • Surface Elevation (TanDEM-X Edited DEM v1, more info here)
  • Geoid Height (EIGEN-6C4 gravity field)

Data type: float32.
CRS: coordinates, measured in meters within a specific UTM zone.
Spatial resolution: 100 meters.
Nodata: np.nan

File Attributes:

  • Ice volume (with uncertainty): complex ice volume (with uncertainty).
  • Ice volume below sea level (with uncertainty): complex ice volume below sea level (with uncertainty).
  • Area: complex area.
  • Ice thickness measurements contained within the complex, if any: latitude, longitude, ice thickness.

Note: individual glaciers may be produced with a finer resolution than 100 meters. The merged mosaics, however, are generated at a fixed 100 meter resolution. For smaller glaciers we refer the users to the individual glacier product at https://zenodo.org/records/17724512.

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Additional references:

Randolph Glacier Inventory: https://www.glims.org/rgi_user_guide/welcome.html

To download individual glacier files: see https://zenodo.org/records/17724512

To download the training datasets, the trained model: see https://zenodo.org/records/17724512

IceBoost Web Visualizer at: https://nmaffe.github.io/iceboost_webapp/

IceBoost code on Github at: https://github.com/nmaffe/iceboost

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Files

fig_prince_of_wales.png

Files (3.0 GB)

Name Size
md5:e892c34cd7fdc0539f91c8c443b8c211
46.1 MB Preview Download
md5:6c31aab3765e44d6c4f8e79518ff84ff
1.4 MB Preview Download
md5:6995c55155d60f76cdee77115e1626b7
1.5 GB Preview Download
md5:175c0d300cb7c60656606256689bebae
1.4 GB Preview Download

Additional details

Related works

Continues
Dataset: 10.5281/zenodo.17724512 (DOI)

Funding

European Commission
SKYNET - Estimating the ice volume of Earth's glaciers via Artificial Intelligence and remote sensing 101066651

Software

Repository URL
https://github.com/nmaffe/iceboost
Programming language
Python
Development Status
Active