Table · dataset · 2026
Estimating supraglacial lake bottom ablation rates
Listed in figshare
<p dir="ltr">This repository provides the code and datasets corresponding to the manuscript "Estimating supraglacial lake bottom ablation rates by integrating ICESat-2 repeat-track data and multi-temporal Sentinel-2 imagery".
Description
The repository includes three main folders: Code, Input_data, and Output_data.</p><p><br></p><p dir="ltr"><i>Code</i></p><p dir="ltr">This folder contains three parts.</p><p dir="ltr">01_Meltwater-covered_days_from_Sentinel-2</p><p dir="ltr">This folder contains the code used to extract meltwater-covered days from Sentinel-2 imagery.</p><p dir="ltr">"Step1_Download_s2.ipynb" downloads Sentinel-2 imagery using Google Earth Engine.</p><p dir="ltr">"Step2_Filter_image.ipynb" manually filters the downloaded Sentinel-2 images.</p><p dir="ltr">"Step3_Meltwater-covered_days.ipynb" extracts daily meltwater extent and calculates cumulative meltwater-covered days.</p><p><br></p><p dir="ltr">02_Ablation_depth_from_ICESat-2</p><p dir="ltr">This folder contains the code used to extract elevations from ICESat-2 data.</p><p dir="ltr">"Step1_Ice_surface.ipynb" extracts ice-surface elevations using a modified open-source algorithm.</p><p dir="ltr">"Step2_Ice_surface_to_point.ipynb" aggregates the extracted ice-surface elevations into sample points at 10 m intervals.</p><p dir="ltr">"Step3_Supraglacial_lake_watta.txt" refers to MATLAB code that extracts supraglacial lake surface and bottom elevations using the Watta algorithm.</p><p dir="ltr">"Step4_Supraglacial_lake_watta_to_point.ipynb" aggregates the extracted supraglacial lake elevation into sample points at 10 m intervals.</p><p><br></p><p dir="ltr">03_Ablation_rates</p><p dir="ltr">This folder contains the code used to calculate ablation depths and ablation rates.</p><p dir="ltr">"Step1_Ablation_depth_plot.ipynb" calculates the ablation depths of supraglacial lake bottoms and surrounding bare ice, and generates the corresponding figures.</p><p dir="ltr">"Step2_MAR_create_percentages.py" and "Step3_MAR_effective_melt_days.ipynb" determine the number of effective melt days from MAR data.</p><p dir="ltr">"Step4_Ablation_rate_plot.ipynb" performs linear fitting to obtain ablation rates, and generates the corresponding figures.</p><p><br></p><p dir="ltr"><i>Input_data</i></p><p dir="ltr">This folder mainly contains the shapefile, basic attributes, and ICESat-2 ATL03/06 data sources for an example depression, depression22158, which can be used to test the code.</p><p dir="ltr">The MAR folder provides the shapefiles of the ice-surface catchments corresponding to 26 lakes, the MAR data source used in this study, and its grid information.</p><p dir="ltr">The All_lakes folder provides the shapefiles and basic attributes of the depressions corresponding to 26 lakes.</p><p><br></p><p dir="ltr"><i>Output_data</i></p><p dir="ltr">The ATL03_20190503212504_05440305_006_02.h5_gt2l_depression22158 folder provides the complete processing outputs, results, and figures for the single example depression, depression22158.</p><p dir="ltr">The All_lakes folder provides the main results and figures for the 26 lakes analyzed in this study.</p><p><br></p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.32576643.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science · Surface water hydrology
- Inferred from text
- Image 65%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/32576643 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:field:370704 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Surface water hydrology'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |