Moulin distributions during 2016-2021 on the southwest Greenland Ice Sheet
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https://figshare.com/articles/dataset/Moulin_distributions_during_2016-2021_on_the_southwest_Greenland_Ice_Sheet/30372304/1
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资源简介:
This repository provides the datasets and codes accompanying the manuscript "Mapping diverse interannual moulin distributions on the southwestern Greenland Ice Sheet", currently under review for Journal of Geophysical Research - Earth Surface. The datasets include moulin distributions mapped from 10 m resolution satellite imagery during 2016-2021, while the codes reproduce the analyses and figures presented in the manuscript. Detailed discriptions are provided below.<br>00_Satellite-derived moulins: Moulins directly mapped from Sentinel-2 imagery, representing actual moulin positions;01_Snapped moulins: Moulins snapped to DEM-modeled supraglacial drainage networks, primarily used for analyses;02_Moulin recurrences: Recurring moulins determined from the snapped moulins;03_Internally drained catchments: Internally drained catchment (IDC) associated with each moulin;04_Surface meltwater runoff: surface meltwater runoff calculated from MAR for the study area, elevation bins, and IDCs; 05_DEM-derived: Topographic features modeled from ArcticDEM, including elevation bins, depressions and drainage networks;06_GWR: Variables for conducting geographically weighted regression (GWR) analysis;<br>Code_01_Mapping moulins on the southwestern GrIS.ipynb: A Jupyter Notebook to analyze moulin distributions, reproducing most of the analyses and figures presented in the manuscript using the provided datasets;Code_02_pre1_calculate Strain Rate from XY ice velocity.py: A preprocessing Python script to calculate strain rate for the GWR analysis;Code_02_pre2_calculate Driving Stress from ice thickness and surface slope.py: A preprocessing Python script to calculate driving stress for the GWR analysis;Code_02_GWR analysis.ipynb: A Jupyter Notebook to conduct the GWR analysis using the provided datasets.
提供机构:
Yang, Kang
创建时间:
2025-10-16



