Supplementary data for "Investigating seasonal velocity variations of selected glaciers in High Mountain Asia"

This submission contains the glacier speed time series and other relevant data for the analysis done in the study "Investigating seasonal velocity variations of selected glaciers in High Mountain Asia." Dataset Correspondence to: Whyjay Zheng ([email protected]) Data set content {Name}_Global-ts-results*.nc: Data cube in NetCDF (.nc) format containing a time series of glacier speed maps for the selected single glacier {Name}. There are five glaciers analyzed in this study: Abramov, Khumbu, Petrov, Tuyusku, and Yanong. {Name}_global-ts-refgeo.gpkg: The footprint of the glacier speed maps for the selected single glacier {Name}. In geopackage format. {Name}_flowline_densified200m.gpkg: Selected flowine with vertex interval ~= 200 m for the selected single glacier {Name}. In geopackage format. analysis_template.ipynb: Jupyter Notebook file containing template code for users to perform and reproduce basis analysis with the data cubes. Readme.md: This readme file. {Name}_Global-ts-results*.nc file structure The data cube has a spatial spacing of 120 m (for x and y) and a temporal spacing of 6 days (for time). Coordinates: time: datetime64 object specifying the temporal sampling points. x: Easting in a specified CRS. The other two geopackage files use the same CRS as the .nc file. y: Northing in a specified CRS. Data Variables: speed: Glacier speed in m/day. speed_uncertainty: Uncertainty (1-sigma) of glacier speed in m/day. data_gap_days: Temporal duration between the sampling location and the nearest measurement, in days. For example, if data_gap_days is 3 on 2020-01-15, then the nearest speed measurement is either from 2020-01-12 or 2020-01-18. How to cite We recommend that users cite the original article (Baldacchinoa et al.) and provide a link to the dataset landing page.