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.