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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	If you plan to do both, please complete two slides
Group name
Model name
Participants
Model characteristics	Include items like grid, typical resolution, sliding laws, initialization method…
Topic of interest	This would be for example a specific aspect of ISMIP7 that you would like to explore
Fun fact or figure
Number of variants	This is an indication of how many model variants you would like to contribute
Number of 200 yr runs	This is an indication of how many simulations you would like to contribute

Instructions: Copy this slide, and modify it for your group :). Delete this gray box

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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Greenland

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	NORCE
Model name	CISM – Community Ice Sheet Model
Participants	Heiko Goelzer, Maria Paz Lira, Michele Petrini, Dave Chandler
Model characteristics	Regular grid, typical resolution 4km, Diva solver, regularized coulomb or powerlaw sliding, Calibration to match observed surface elevation.
Topic of interest	Explore ISM parametric uncertainty
Fun fact or figure	The .F90 source code of CISM has 137505 lines and the word “ismip” occurs in 36 of them.
Number of variants	10 (different initial states, parametric uncertainty)
Number of 200 yr runs	100 for each version

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	VUW-USF
Model name	PISM
Participants	Nick Golledge, Dan Lowry, Alanna Alevropoulos-Borrill
Model characteristics	Regular grid; 2km resolution; Hybrid SIA+SSA; pseudo-plastic sliding law; spin-up with iterative nudging
Topic of interest	parametric uncertainty, “Overshoot” scenarios
Fun fact or figure	VUW ISMIP6 simulations were run on the Rāpoi cluster. Rāpoi can be translated as “to hang together in a cluster” in Te Reo Māori
Number of variants	TBD; We plan on submitting with two different basal melt and grounding line parameterizations at the very least
Number of 200 yr runs	Ideally for all experiments

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	GEUS
Model name	PISM
Participants	Synne H. Svendsen, Anne M. Solgaard, Signe H. Larsen, Nanna B. Karlsson
Model characteristics	2-5 km spinup method TBD
Topic of interest	Possibly higher order dynamics
Fun fact or figure
Number of variants	TBD
Number of 200 yr runs	TBD

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GIS
Group name	DOE-LANL
Model name	MALI
Participants	Matt Hoffman, Trevor Hillebrand
Model characteristics	Unstructured variable-resolution Voronoi grid, targeting finest resolution of 1 km; plan to use Budd or regularized Coulomb sliding law with coupling to subglacial hydrology model (or possibly parameterization); initialization through PDE-constrained optimization for tuning basal friction and ice stiffness with steady-state ice temperature field; Blatter-Pattyn or MOLHO velocity solver; crevasse-depth calving law
Topic of interest	uncertainty quantification; Earth-system model coupling
Fun fact or figure	MALI did not participate in Greenland projections for ISMIP6, but has been used in a handful of Greenland regional studies
Number of variants	1-5
Number of 200 yr runs	up to a few dozen at high resolution

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	University of Montana
Model name	SpecEIS (with new GPU dy-core)
Participants	Doug Brinkerhoff
Model characteristics	Structured grid, SSA or MOLHO, Budd sliding, uniform 1km resolution, Data-constrained spin-up
Topic of interest	Uncertainty quantification
Fun fact or figure
Number of variants	As needed
Number of 200 yr runs	As needed. This model is very fast (20yrs simulation time / second on a laptop), so we can do a lot - 1000s?

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	IGE
Model name	Elmer/Ice
Participants	C. Mosbeux, F. Gillet-Chaulet, N. Jourdain, G. Durand…
Model characteristics	FEM, Unstructured (1-50 km), SSA, DA initialisation
Topic of interest	Friction law, moving front
Fun fact or figure
Number of variants	Depends on the set and number of experiments (likely 2-3)
Number of 200 yr runs	Approx 10-20

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	GrIS
Group name	Dartmouth
Model name	ISSM
Participants	H. Shields, M. Morlighem, H. Seroussi, Cheng Gong
Model characteristics	FEM, Unstructured (1-20 km), HO, Transient calibration
Topic of interest	Friction law, moving front
Fun fact or figure	ISSM used to be “Ice Sheet System Model” and was renamed “Ice-sheet and Sea-level System Model” after we added a sea level solver 5 years ago. We managed to keep the same acronym :)
Number of variants	TBD
Number of 200 yr runs	Approx 10-20

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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Antarctica

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	PSU-UT
Model name	PSU-ISM
Participants	Ruthie Halberstadt, Sara Peters
Model characteristics	Regular grid; 10 or 20km resolution; Hybrid SIA+SSA; basal sliding inversion field; initial conditions from transient glacial cycle simulation
Topic of interest	model-data comparison, dependence on initial conditions
Fun fact or figure	We are newbies to ISMIP! This will be our first time participating.
Number of variants	TBD
Number of 200 yr runs	Ideally for all experiments

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	PIK/MPI-GEA
Model name	PISM
Participants	Torsten Albrecht, Ann Kristin Klose
Model characteristics	Hybrid SIA+SSA; Regular grid; 4/8 km resolution; Pseudo-plastic sliding law; Historical spin-up (incl scoring against obs trends)
Topic of interest	Exploring role of different processes for sea-level projections: GIA, Subglacial hydrology …
Fun fact or figure	For more than 20 years, PISM’s main research software engineer Constantine Khrulev has ensured the model’s stability and growth by maintaining, restructuring, and modernizing its code in more than 11000 commits. His deep technical insight and long-term commitment have been essential to the model’s reliability, user-friendliness and continued development.
Number of variants	TBD
Number of 200 yr runs	TBD

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	VUW-USF
Model name	PISM
Participants	Nick Golledge, Dan Lowry, Alanna Alevropoulos-Borrill
Model characteristics	Regular grid; 4 and 8km resolution; Hybrid SIA+SSA; pseudo-plastic sliding law; spin-up with iterative nudging
Topic of interest	parametric uncertainty, “Overshoot” scenarios
Fun fact or figure	VUW ISMIP6 simulations were run on the Rāpoi cluster. Rāpoi can be translated as “to hang together in a cluster” in Te Reo Māori
Number of variants	TBD; We plan on submitting with two different basal melt and grounding line parameterizations at the very least
Number of 200 yr runs	Ideally for all experiments

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	DOE-LANL
Model name	MALI
Participants	Matt Hoffman, Trevor Hillebrand
Model characteristics	Unstructured variable-resolution Voronoi grid, targeting finest resolution of 2 km; plan to use Budd or regularized Coulomb sliding law with coupling to subglacial hydrology model (or possibly parameterization); initialization through PDE-constrained optimization for tuning basal friction and ice stiffness with steady-state ice temperature field; Blatter-Pattyn or MOLHO velocity solver; crevasse-depth calving law; global 1-d GIA/Sea-level model
Topic of interest	GIA, subglacial hydrology, uncertainty quantification
Fun fact or figure	MALI is jointly developed between Los Alamos and Sandia national labs and is the ice-sheet component of the US Department of Energy’s Energy Exascale Earth System Model (E3SM)
Number of variants	1-5
Number of 200 yr runs	up to a few dozen at high resolution

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	University of Montana
Model name	SpecEIS (with new GPU dy-core)
Participants	Doug Brinkerhoff
Model characteristics	Structured grid, SSA or MOLHO, Budd sliding, uniform 1km resolution, Data-constrained spin-up
Topic of interest	Uncertainty quantification, collapse scenarios
Fun fact or figure
Number of variants	As needed
Number of 200 yr runs	As needed. This model is very fast (20yrs simulation time / second on a laptop), so we can do a lot - 1000s?

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	Dartmouth College
Model name	ISSM (Ice-sheet and Sea-level System Model)
Participants	Tobias Harvey, Justine Caillet, Hugh Shields,Mathieu Morlighem, Helene Seroussi
Model characteristics	Unstructured anisotropic mesh (2-30 km), SSA or MOLHO, Budd sliding, transient calibration with AD if possible, ISMIP6 melt parameterization
Topic of interest	Ice shelt melt or calving
Fun fact or figure	First ISSM workshop was exactly 14 years ago (December 13th, 2011)
Number of variants	Unknown (discussions with other ISSM groups)
Number of 200 yr runs	10s

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	Arête Glacier Initiative
Model name	MALI (MPAS-Albany Land Ice model)
Participants	Holly Han, Colin Meyer, Brent Minchew
Model characteristics	Unstructured variable-resolution Voronoi grid (will most likely use 4-20 km resolution). Flexibility in using different physics packages (e.g., gravitationally consistent 1D sea-level/GIA physics, calving, subglacial hydrology, temperature, velocity solver).
Topic of interest	Sea-level/GIA feedback, Basal sliding law, sweeping a broad range of parameter space of various physics.
Fun fact or figure	Another meaning of Arête is a Greek philosophy about excellence or realizing one’s fullest potential (https://en.wikipedia.org/wiki/Arete).
Number of variants	TBD
Number of 200 yr runs	TBD

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	KOPRI (Korea Polar Research Institute)
Model name	ISSM-KOPRI
Participants	Emilia Kyung Jin, In-Woo Park, Won Sang Lee
Model characteristics	Unstructured anisotropic mesh (1 km - 10 km), Budd-type friction law (effective pressure from subglacial hydrology model, CUAS or Shakti), Ice flow model with 2D SSA or 3D Higher Order (HO), Surface melting parameterization (SEMIC)
Topic of interest	Friction law connected with subglacial hydrology model, sub-ice shelf melting parameterization from 2D plume model
Fun fact or figure
Number of variants	TBD (Discussed in ISMIP7)
Number of 200 yr runs	TBD (Discussed in ISMIP7)

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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ISMIP7 participants - expression of interest

Domain (AIS or GrIS)	AIS
Group name	IGE
Model name	Elmer/Ice
Participants	C. Mosbeux, N. Jourdain, F. Gillet-Chaulet, G. Durand…
Model characteristics	FEM, Unstructured (1-50 km), SSA, DA initialisation
Topic of interest	Friction laws, damage, moving front, coupling with the ocean and atmosphere
Fun fact or figure
Number of variants	Depends on the set and number of experiments (likely 2-3)
Number of 200 yr runs	Approx 10-20

We are trying to get an overview of interested groups and participants and their models.

Please fill out a separate slide for each domain if you are going to model the AIS and GrIS.

Feel free to adapt the slide, but limit to one slide per model.

We would like to collect:

information about your model’s main characteristics and basic capabilities.
if there is a specific topic or uncertainty you would be interested to explore with your model or between different models.
a fun fact about your model or group.
how many different model variants* you may use and
about how many production runs we should expect for each variant (10, 100, 1000).

*A different model variant would be anything with a different initial state, which could be a different initialization approach, a different sliding law, perturbed parameters or a different resolution.

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