The datasets listed below are only suggestions, and fulfill the requirements that they are publicly available and used by ISMIP6 members in initialization of ice sheet models. If you have datasets that you would suggest adding, please let us know! The list was compiled in ~2016 at the beginning of ISMIP6...

Note that the CMIP5 and CMIP6 climate datasets used by ISMIP6 for its projections are distributed via Ghub on the Data pages. These are freely available.

== Greenland data ==

__Surface elevation__

Greenland Ice Mapping Project (GIMP) digital elevation model:
Complete, altimeter-registered, digital elevation model posted at 30 m for mean 2003-2009 elevation. 
I.M. Howat, A. Negrete and B.E. Smith, The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere, 2014, 8, 1509-1518. 
http://research.bpcrc.osu.edu/GDG/gimpdem.php

__Bedrock topography__

Bed elevation of Greenland:
Bed elevation dataset for Greenland derived from a combination of multiple airborne ice thickness surveys undertaken between the 1970s and 2012, using about 420 000 line kilometres or airborne data and interpolated on a 1km grid. 
J.L. Bamber, J.A. Griggs, R.T.W.L. Hurkmans, J.A. Dowdeswell, S.P. Gogineni, I. Howat, J. Mouginot, J. Paden, S. Palmer, E. Rignot, and D. Steinhage, A new bed elevation dataset for Greenland, The Cryosphere, 7, 499-510, 2013. 
http://www.the-cryosphere.net/7/499/2013/tc-7-499-2013.html

IceBridge BedMachine Greenland:
Bed topography beneath the Greenland Ice Sheet based on mass conservation derived from airborne radar tracks and satellite radar. 
M. Morlighem, E. Rignot, J. Mouginot, H. Seroussi, and E. Larour, Deeply Incised Submarine Glacial Valleys Beneath the Greenland Ice Sheet, Nature Geoscience, 7, 418-422, 2014. 
http://nsidc.org/data/idbmg4

__Ice front position__

Greenland Ice Mapping Project (GIMP) ice cover mask:
A raster binary land classification mask with 1 for glacier ice and 0 for all other terrain or water from Landsat 7 and RADARSAT-1, mostly 2000. 
I.M. Howat, A. Negrete and B.E. Smith, The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere, 2014, 8, 1509-1518. 
http://research.bpcrc.osu.edu/GDG/icemask.php

__Surface velocities__

Interferometric Synthetic Aperture Radar (InSAR) data from the RADARSAT-1 satellite:
Ice velocity data for the winter of 2000-2001 and 2005-2006, 2006-2007, and 2007-2008 acquired from RADARSAT-1 InSAR data, and 2008-2009 mosaic derived from the Advanced Land Observation Satelitte (ALOS) and TerraSAR-X data. 
I. Joughin, B. Smith, I. Howat, T. Scambos, and T. Moon, Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping, Journal of Glaciology, 2010, 56(197), 415-430. 
http://nsidc.org/data/nsidc-0478/

MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic, Version 1
Multi-year ice-sheet-wide velocity mosaic for Greenland derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data. Joughin, I., B. Smith, I. Howat, and T. Scambos. 2016. MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: http://dx.doi.org/10.5067/QUA5Q9SVMSJG. 
http://nsidc.org/data/NSIDC-0670/

__Geothermal heat flux__

Geothermal heat flux from seismic model:
Global seismic model of the crust and upper mantle to guide the extrapolation of existing heat-flow measurements 
N.M. Shapiro and M.H. Ritzwoller, Inferring surface heat flux distributions guided by a global seismic model: Particular application to Antarctica, Earth Planet. Sci. Lett., 223, 213–224, 2004.
http://ciei.colorado.edu/~nshapiro/MODEL/ASC_VERSION/index.html

Geothermal heat flux from tectonic model:
H.N. Pollack, S.J. Hurter and J.R. Johnson, Heat flow from the Earth’s interior: Analysis of the global data set, Rev. Geophys., 31, 267–280, 1993.

Geothermal heat flux from magnetic model:
Crustal magnetic field models based on high quality magnetic measurements from recent satellites to determine the thickness of the magnetic crust, from which estimates of the geothermal heat flux are derived. 
C. Fox Maule, M.E. Purucker and N. Olsen, Inferring magnetic crustal thickness and geothermal heat flux from crustal magnetic field models, Rep. 09-09, Danish Meteorol. Inst., Copenhagen, 2009. 
http://www.dmi.dk/dmi/dkc09-09.pdf

__Mean annual air temperature__


__Surface mass balance__

RACMO2.3 surface mass balance:
Contemporary (1958-2013) monthly surface mass balance, 2m air temperature and surface temperature from high-resolution (11km) regional atmospheric climate model (RACMO2.3)
Noël, B., W. K. van de Berg, E. van Meijgaard, P. Kuipers Munneke, R. S. W. van de Wal, and M. R. van den Broeke, 2015: Evaluation of the updated regional climate model RACMO2.3: summer snowfall impact on the Greenland Ice Sheet, The Cryosphere 9, 1831-1844, doi:10.5194/tc-9-1831-2015. Other variables and time resolution are also available. Contact Michiel van den Broeke (M.R.vandenBroeke@uu.nl) for a data request.

MAR surface mass balance and components:
Surface mass balance and components from high-resolution regional atmospheric climate model MAR 
Fettweis, X., Franco, B., Tedesco, M., van Angelen, J. H., Lenaerts, J. T. M., van den Broeke, M. R., and Gallee, H.: Estimating the Greenland ice sheet surface mass balance contribution to future sea level rise using the regional atmospheric climate model MAR, The Cryosphere, 7, 469-489, doi:10.5194/tc-7-469-2013, 2013. 
ftp://ftp.climato.be/fettweis/MARv3/Greenland/readme.txt

HIRHAM5 surface mass balance
Recent Surface Mass Balance components and associated climate variables from the High Resolution (5km) Regional Climate Model HIRHAM5 1980 - 2014 forced by ERA-Interim. This will be updated on an ongoing basis.
Langen, P. L., Mottram, R. H., Christensen, J. H., Boberg, F., Rodehacke, C. B., Stendel, M., van As, D., Ahlstrøm, A. P., Mortensen, J., Rysgaard, S., Petersen, D., Svendsen, K. H., Aðalgeirsdóttir, G., Cappelen, J., Quantifying energy and mass fluxes controlling Godthåbsfjord freshwater input in a 5 km simulation (1991-2012), Journal of Climate (2015)

==Antarctic data==

The datasets listed below are only suggestions, and fulfill the requirements that they are publicly available and used by ISMIP6 members. If you have datasets that you would suggest adding, please let us know! These lists are still in construction...

__Surface elevation__

Bedmap2 - Ice thickness and subglacial topographic model of Antarctica
Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N. E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske, D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni, P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel, R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill, W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk, B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto, B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C. and Zirizzotti, A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica, The Cryosphere, 7(1), 375–393, doi:10.5194/tc-7-375-2013, 2013. https://www.bas.ac.uk/project/bedmap-2/

__Bedrock topography__

Bedmap2 - Ice thickness and subglacial topographic model of Antarctica
see details under Surface elevation

__Ice thickness__

Bedmap2 - Ice thickness and subglacial topographic model of Antarctica
see details under Surface elevation


__Ice front position__

__Grounding line position__

Antarctic Grounding Line from Differential Satellite Radar Interferometry:
High-resolution mapping of grounding lines in Antarctica, derived using differential satellite synthetic aperture radar interferometry (DInSAR) data, for years 1994 to 2009. 
E. Rignot, J. Mouginot and B. Scheuchl, Antarctic Grounding Line Mapping from Differential Satellite Radar Interferometry, 2011, Geophyical Research Letters 38, L10504. 
http://nsidc.org/data/NSIDC-0498

__Surface velocities__

Interferometric Synthetic Aperture Radar (InSAR) data:
Digital mosaics of ice motion in Antarctica assembled from multiple satellite interferometric synthetic-aperture radar data, acquired during the International Polar Year 2007 to 2009. 
E. Rignot, J. Mouginot and B. Scheuchl, Ice Flow of the Antarctic Ice Sheet, 2011, Science, 333(6048),1427-1430. 
http://nsidc.org/data/NSIDC-0484

__Geothermal heat flux__

__Mean annual air temperature__

__Surface accumulation__

RACMO2.3 surface mass balance
Monthly RACMO2.3 (1979-2014, 27 km resolution) smb, Ts and T2m (and many more parameters) 
Van Wessem, J. M., C. H. Reijmer, M. Morlighem, J. Mouginot, E. Rignot, B. Medley, I. Joughin, B. Wouters, M. A. DePoorter, J. L. Bamber, J. T. M. Lenaerts, W. J. van de Berg, M. R. van den Broeke and E. van Meijgaard, 2014: Improved representation of East Antarctic surface mass balance in a regional atmospheric climate model, Journal of Glaciology 60, 761-770, doi:10.3189/JoG14J051. 
Contact Michiel van den Broeke (M.R.vandenBroeke@uu.nl) for a data request.

__Firn thickness__

RACMO2.3 firn thickness
Ligtenberg, S. R. M., P. Kuipers Munneke and M. R. van den Broeke, 2014: Present and future variations in Antarctic firn air content, The Cryosphere 8, 1711-1723, doi:10.5194/tc-8-1711-2014.
Contact Michiel van den Broeke (M.R.vandenBroeke@uu.nl) for a data request.

__Sub-ice shelf melting rate__

Depoorter et al. (2013)
Depoorter, M.A., J.L. Bamber, J.A. Griggs, J.T.M. Lenaerts, S.R.M. Ligtenberg, M.R. van den Broeke and G. Moholdt, 2013: Calving fluxes and basal melt rates of Antarctic ice shelves, Nature, 502, doi:10.1038/nature12567.

Rignot et al. (2013)
Rignot, E., S. Jacobs, J. Mouginot and B. Scheuchl, 2013: Ice Shelf Melting around Antarctica, Science, 341 (6143), doi:10.1126/science.1235798.