Acknowledgments
We thank the Bristol CMIP6 Data Hackathon for providing the opportunity and support to make this project possible. The 2021 Climate Data Challenge hackathon series, including the events hosted by Met Office Academic Partnership (MOAP) universities, was supported by the Met Office. Aslak Grinsted was supported by Villum experiment Old Noble grant number 28024 and Villum Investigator Project IceFlow grant number 16572. JLB was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation programme (grant agreement no. 694188; GlobalMass) and German Federal Ministry of Education and Research (BMBF) international future AI lab ”AI4EO – Artificial Intelligence for Earth Observation” (Grant number: 01DD20001). We thank Helene Seroussi for providing surface mass balance data from the ISMIP6 Antarctic projections. This work used JASMIN, the UK collaborative data analysis facility. We are grateful for the coordinated model intercomparison efforts of CMIP6, GlacierMIP, and ISMIP6. We thank the Climate and Cryosphere (CliC) effort, which provided support for ISMIP6 through sponsoring of workshops, hosting the ISMIP6 website and wiki, and promoted ISMIP6. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the CMIP data and providing access, the University at Buffalo for ISMIP6 data distribution and upload, and the multiple funding agencies who support CMIP5 and CMIP6 and ESGF. We thank the ISMIP6 steering committee, the ISMIP6 model selection group and ISMIP6 dataset preparation group for their continuous engagement in defining ISMIP6.