Published August 2, 2024
| Version v1.1
Model
Open
IceBoost - a Gradient Boosted Tree global framework for glacier ice thickness retrieval
Contributors
Project members:
Researchers:
Description
The repository contains:
- IceBoost model ensemble (XGBoost mudule: .json file, CatBoost module: .cbm file).
- Training datasets (.csv), in 2 versions: RAW and spatially downscaled.
- Comparisons between IceBoost and other two models, on 10 selected glaciers for each one of the 19 regions of the Randolph Glacier Inventory v.6 (.zip archive), alongside a .csv file listing the ids of the compared glaciers.
In all comparisons:
- Model 1 refers to Millan et al. (2022), or BedMachine Greenland/Antarctica (if applicable).
- Model 2 refers to Farinotti et al. (2019).
- BedMachine Greenland v5: Morlighem, M. et al (2022).
- BedMachine Antarctica v3: Morlighem, M. et al (2022).
- All colorbars are tied to the IceBoost output, therefore the other two models may appear in saturated colors.
- The big circles (if any) reflect the ice thickness measurements from GlaThiDa v. 3.1.0.
IceBoost is actively developed on Github: iceboost repository.
Files
README_v2.txt
Files
(3.3 GB)
Name | Size | Download all |
---|---|---|
md5:bec6a94493c22a157dfc21333ddc5586
|
11.4 MB | Download |
md5:bfbe1d8b6966d4aed3bda4dbb440b05c
|
3.0 kB | Preview Download |
md5:4feea9fa41f336657350a33371466d5f
|
115.6 MB | Preview Download |
md5:5201eb0531719ad51c4831fe493a2394
|
221.2 MB | Preview Download |
md5:2f270dc897251b1be1590980f285b95c
|
1.8 kB | Preview Download |
md5:2ef59e108f2c5337acae0bd5fcf2f882
|
2.7 GB | Preview Download |
md5:43400d7ee7b4ed118cbaeaa42962fb4f
|
228.1 MB | Preview Download |
Additional details
Funding
Software
- Repository URL
- https://github.com/nmaffe/iceboost
- Programming language
- Python
- Development Status
- Active