This dataset contains spatially and temporally resolved outputs describing supraglacial hydrology on the southwest Greenland Ice Sheet for the period 2015-2019. The data include gridded fields of surface meltwater routing, supraglacial lake extent and volume, lake drainage events (rapid and slow), and associated surface water fluxes at 100 m spatial resolution and daily temporal resolution. Outputs are derived from physically based simulations driven by climate model forcing, surface elevation data, and stress fields. The dataset has been evaluated against satellite-derived supraglacial lake observations and in situ proglacial discharge measurements, showing good agreement in lake distribution, seasonal evolution, and discharge magnitude. These data support analyses of surface meltwater storage and transfer across the ice surface and provide inputs for studies of ice-sheet hydrology and dynamics.

This dataset provides Digital Elevation Models (DEMs) and Lagrangian Basal Melt Maps of Pine Island Glacier. DEMs were created using CryoSat-2 SARIn swath processed surface elevation data and cover 2011-2023. Melt Maps were calculated using the Lagrangian method using ITS_LIVE annual velocity datasets and cover 2012-2022. Katie Lowery was supported by the Natural Environment Research Council (NERC) Satellite Data in Environmental Science (SENSE) Centre for Doctoral Training (grant no. NE/T00939X/1).

The dataset comprises ApRES (Autonomous phase-sensitive Radio Echo Sounder) time series from four sites (G1-4) through the grounding zone of the eastern Thwaites ice shelf. The instruments were deployed in early 2020 and recovered in early 2021 as part of the International Thwaites Glacier Collaboration (ITGC) MELT project. The aim was to provide time series of basal melt rates and the vertical strain rate at each site. The ApRES DAT files were converted to netCDF for publication. Each burst in an ApRES file maps straightforwardly to a group in the corresponding netCDF file. This is a lossless, reversible process. The data were acquired under funding from ITGC: NE/S006656/1.