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Goliber et al. present a rich new dataset for the lengths of 278 glaciers around Greenland. This dataset, "TermPicks", contains 39,060 detailed traces of the edges of these glaciers, where ice meets ocean. TermPicks spans the entire satellite record (1970s-present), with air photo coverage for some glaciers going back >100 years to 1916. TermPicks is designed for use as training data in machine learning applications, which are the future of the tedious "terminus picking" work that has largely been performed by students to date. Thus, TermPicks will facilitate a significant leap forward in Greenland glacier research by facilitating machine-learning-enabled analysis of the continual high-flux, big-data output of high-resolution imagery by our international constellation of earth-observing satellites.

This paper provides a complete and novel perspective on how to attribute changes in glaciers to anthropogenic warming. It is accessible, well written with clear figures, and will certainly be of interest to the wider community.

This study draws attention to some important processes for ice sheet mass loss. In particular, the warm-water incursions onto the large ice shelves in the late 21st century, inducing more melt, have big implications for the future contribution to SLR from Antarctica.

Justification of handling editor: The paper presents a multi-proxy study of fjord productivity in Greenland. The link between paleo records and modern climate is notable.

This paper shows that the changes observed in the North of the Greenland ice sheet mainly result from Arctic sea ice decline and are less dependent on the atmospheric circulation variability in North-Atlantic sector. The sea ice decline, therefore, exerts another (indirect) anthropogenic-driven influence on mass loss in Greenland.