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Progress on MPAS Land Ice Model Development

Matt Hoffman, Steve Price, LANL Mauro Perego, Andy Salinger, Irina Kalashnikova, SNL Lili Ju, Univ. South Carolina Max Gunzberger, Florida State Univ. Wei Leng, Chinese Academy of Sciences, Beijing With help from: Bill Lipscomb, Doug Jacobsen, Todd Ringler (LANL)

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Outline

MPAS Overview

Status of Velocity Solvers

Coupling & Science Applications

Slide 2

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MPAS-Land Ice •MPAS - Model for Prediction Across Scales: A climate modeling framework that supports dynamical cores on unstructured Voronoi (SCVT) meshes (MPAS Atmosphere, Land Ice, Ocean, Sea Ice cores)

1Leng et al., JGR, 117 (2012) 2Perego et al., J. Glac. 58 (2012)

-Funded under PISCEES project: -LANL, ORNL, SNL, NCAR, FSU, USC, UT, MIT -Goal: Hierarchical suite of FEM-based ice sheet dynamical cores (Stokes1, 1st-order2, LIL22, etc.) based on MPAS CVT mesh generation and modeling framework

Allows high resolution in regions of interest, reducing necessary number of grid cells by ~10x

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FO-FELIX (Using Trilinos); SNL Stokes-FELIX (Using PHG); USC, FSU

MPAS-LI; LANL

Current Breakdown of Responsibility

Additional physics (e.g., basal processes) Coupling to Earth Systems Models

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Status of MPAS-Land Ice Initial Public Release, November 2013: http://mpas-dev.github.io/ Native SIA solver in MPAS (convenient for testing) Interfaces to LiveV (SSA, L1L2, FO, Stokes solvers), Albany-FELIX (FO solver), PHG

(Stokes solver) Forward Euler Time Integration scheme

• Optional adaptive time stepping Thickness evolution

• FO Upwind • Margin advance & retreat • Surface Mass Balance • Higher-order Flux Corrected Transport

Tracer (temperature) transport: First-Order & Flux Corrected Transport (FCT) scheme Tools external to MPAS (written mostly in python)

• Setup land ice grids on regular planar hex mesh or variable resolution spherical mesh • Ability to setup test cases: Halfar dome, EISMINT, ISMIP-HOM (in progress) • Copy CISM datasets to MPAS grids • Visualization tools (not many off-the-shelf options) • Automated testing using 'lettuce' • 'loose' coupler to MPAS-Ocean

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Status of Velocity Solvers

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Native Fortran SIA (LANL)

Albany-FELIX First Order (SNL)

PHG-FELIX Stokes (USC, FSU)

Modeled thickness (m) Analytic thickness (m) Model error (m) Halfar analytic test case for SIA after 1000 years on 2 km mesh

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MPAS SIA solver running on a sphere (FO, Stokes can too) Simplistic "Laurentide-like" simulation: inception, 10's ka simulation time, multiple ice masses

Slide 10

Surface Topography N-S Ice Speed

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Albany-FELIX, First-Order Solver (see talk by Irina Kalashnikova)

Slide 11

Sandia National Lab: Andy Salinger Irina Kalashnikova Mauro Perego

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Wei Leng, Lili Ju

Univ. South Carolina: Lili Ju Chinese Academy of Sciences: Wei Leng Florida State Univ.: Max Gunzburger

Stokes-FELIX

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Improved mass conservation of Enhanced Taylor-Hood Finite Elements

Slide 13

P1/P1 P2/P1 (Taylor-Hood)

P2/P1+P0 (Enhanced Taylor-Hood)

Velocity DOF Pressure DOF

Global mass conservation only Local mass conservation

Volume of ice in manufactured solution test case over 1000 yr:

Wei Leng Lili Ju Max Gunzburger

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Application to Greenland

Slide 14

Velocity Difference between Taylor-Hood and

Enhanced Taylor-Hood elements Flux Divergence

Enhanced Taylor-Hood Taylor-Hood

Wei Leng Lili Ju Max Gunzburger

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5km Greenland: FO vs. Stokes

Slide 15

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Elevation feedback SMB = f(elevation)

Meltwater induced speedup Sliding = f(runoff)

ice2sea Model Intercomparison: Greenland Sea Level Rise Predictions

Results using MPAS model

Edwards, et al. TC, 2014 Shannon, et al. PNAS, 2013

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MPAS-Ocean: Support for sub-shelf circulation

Slide 17

Mark Petersen, LANL

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Mark Petersen, LANL

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Questions?

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MPAS Framework

I/O MPI Grid management Timekeeping Shared operators …

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FELIX FELIX

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What’s missing (short to medium term goals)

Variable resolution planar hex meshes (talking with MPAS-A)

Finish temperature implementation (vertical diffusion)

Higher order thickness advection (using modified MPAS framework methods)

Coupling to CESM

More physics… (e.g. basal processes)

Slide 23

Ringler et al., Ocean Dyn. (2008)

Velocity Cell Size

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Status of Velocity Solvers

Slide 24

Native Fortran SIA (LANL)

Albany-FELIX First Order (SNL)

PHG-FELIX Stokes (USC, FSU)

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Dome: FO Velocity Solver – ‘ice stream’

Slide 25

Beta sliding coefficient

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Dome: FO Velocity Solver – ‘ice stream’

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(FO) CISM

(FO)

5km Greenland, 2048 processors

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CISM = solid lines

MPAS = dashed lines

Greenland Ice Sheet sea level rise ice2sea basal lubrication experiments

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10 km Antarctica, no slip, with ice shelves, LifeV FO

Slide 31

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U N C L A S S I F I E D Slide 32

Wei Leng, Lili Ju

Slide Number 1OutlineSlide Number 3Slide Number 4Slide Number 5Slide Number 6Slide Number 7Status of MPAS-Land IceStatus of Velocity SolversMPAS SIA solver running on a sphere (FO, Stokes can too)� Simplistic "Laurentide-like" simulation: �inception, 10's ka simulation time, multiple ice massesAlbany-FELIX, First-Order Solver�(see talk by Irina Kalashnikova)Stokes-FELIX�Improved mass conservation of �Enhanced Taylor-Hood Finite ElementsApplication to Greenland�5km Greenland: �FO vs. StokesSlide Number 16MPAS-Ocean: Support for sub-shelf circulationSlide Number 18Questions?Slide Number 20Slide Number 21Slide Number 22What’s missing (short to medium term goals)Status of Velocity SolversDome: FO Velocity Solver – ‘ice stream’Dome: FO Velocity Solver – ‘ice stream’Slide Number 27Slide Number 28Slide Number 29Slide Number 3010 km Antarctica, no slip, with ice shelves, LifeV FOSlide Number 32