2026-10-07T14:29:14Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32576643 2026-09-20T02:52:58Z category_25888 item_type_3 month_year_09_2026

Estimating supraglacial lake bottom ablation rates Jianing Wei (22400896) Kang Yang (22246754) Mengtian Man (21705438) Haoyu Cao (16965290) Chunyu Yuan (17265056) Manchun Li (12412187) Surface water hydrology ablation supraglacial lake meltwater ICESat-2 Greenland Ice Sheet <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". 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> 2026-09-20T02:52:58Z Dataset Dataset 10.6084/m9.figshare.32576643.v1 https://figshare.com/articles/dataset/Estimating_supraglacial_lake_bottom_ablation_rates/32576643 CC BY 4.0