Week 5: Glacier and ice sheet modelling Flashcards

1
Q

Why do we model glaciers and ice sheets?

A

Predict future change

Reconstruct past change

Understand their controls

Glacier response to climate change

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2
Q

Predicting future change with models

A

SL rise contribution

Local change e.g. glaciers as a hazard

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3
Q

Reconstructing past change with models

A

Fluctuations of pale ice masses

Insight into longer term behaviour

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4
Q

Understanding glacier controls with models

A

Processes that influence change and feedbacks between

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5
Q

Glacier responses to climate change with models

A

Glacier length/thickness/flow speeds

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6
Q

Model building blocks

A

Accumulation
Ablation
Ice flow law

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7
Q

Ice flow law =

A

how ice gets from one point to another in a landscape

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8
Q

What do models allow us to do?

A
  1. Calculate ice surface (how it evolves/length evolves i.e. thicker = longer, thinner = shorter) within spatial framework
  2. Quantify ice flow; ice deformation/basal sliding
  3. Apply climate forcing; net mass balance
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9
Q

Flow line model

A

1 dimensional
Discrete points along flow
Grid size (often regular)
Very simple

Good for valley glaciers/constrained ice streams

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10
Q

Representation of space (2D/3D)

A

Grid in x, y (+z if 3D) direction

2D = plan view

3D = plan view but also divided vertically

More complicated/computationally expensive = lower resolution

Good for ice sheets/caps

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11
Q

Choice of model dimension and flow physics depends on:

A

Location of interest

Scientific question - prediction/process study

Resources: computational/data

Process understanding

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12
Q

Flow physics =

A

flow approximation/processes:

SIA (shallow ice approximation)

SSA (shallow shelf approximation)

1st order

2nd order

Full equations

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13
Q

Valley glacier model choice

A

All SIA

1/2/3D

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14
Q

Ice shelf model choice

A

All SSA

2/3D

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15
Q

Ice streams and marine terminating glaciers model choice

A

SSA to full equations

2/3D

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16
Q

Ice sheets model choice

A

SIA to full equations

3D

17
Q

Ice thickness:

A

Add: flow in / accumulation
Take: flow out / ablation

18
Q

Thickness change =

A

mass balance - change in ice flux along flow

Conservation of mass (continuity equation)

dH/dt = b - (1/w x d(qw)dx)

19
Q

Mass balance (q) =

A

m3/yr

Udef (sliding due to deformation) x H

Can incorporate Glen’s Flow law

20
Q

Assumptions in mass balance calculation

A

No basal sliding i.e. Ubasal = 0

No longitudinal stresses = shallow ice approximation (SIA)

21
Q

Glenn 1955 deforming ice…

A

Colder = harder to deform up to -20/30’C

A = how quickly ice deforms for given ice T (constant)

22
Q

How can you calculate mass balance? (b)

A
  1. Increases linearly with surface elevation S (b = x, S = y)
  2. Use separate model e.g. energy balance model (EBM), positive degree day models (PDD)
    - require field data for validation/calibration
  3. Create ‘scenarios’ for future mass balance
    - IPCC
    - CO2 levels det T/acc/abl
  4. Use past measurements e.g. proxies
  5. Solve the equation
    - discretisation
    - solved for each grid point = dH/dt
    - solve again and again to investigate time evolution
    (lines spaced equally w.r.t time so further apart = faster glacier advance)
23
Q

Inputs of glacier model

A

Run time/time step/grid size

Geometry (on grid): bed topography, reference width/thickness, ice surface

Model parameters: values for (1) net mass balance (2) flow-law values

24
Q

Values for (1) net mass balance

A

ELA

b slope

25
Q

Values for (2) flow-law

A

A (ice softness)
n (usually 3)

N.B. A varies with ice T, may relate to ice T and ice thickness
Ice = cold at top then warmer deeper

26
Q

Outputs generated by glacier model

A

Glacier length and volume with time

Ice thickness/surface elevation

Net mass balance

Flux, velocity

27
Q

How can you validate/verify a model?

A

Observed values of:

  • surface velocities
  • surface elevations
  • trimlines
  • length record
  • moraines
  • terminus
  • sea level record
28
Q

Trimline =

A

line that ice surface has reached to in past

29
Q

Hysterisis =

A

value lags behind changes in the effect causing it

30
Q

What is elevation-mass balance feedback?

A

If ice surface isn’t high enough ice can’t grow (e.g. after deglaciation)

e.g. Greenland ice sheet of today couldn’t form under modern conditions, it must have formed under a cooler past climate

31
Q

Is Greenland or Antarctica more sensitive to climate according to the Java Ice Sheet Model (J-ISM)?

A

Greenland

32
Q

Case studies

A

READ IN NOTES

33
Q

Modelling conclusions

A

Can tell us about past/present/future glacier behaviour

Range of processes (flow/basal sliding/ice shelves/hydrology/ocean warming)

Model must have an appropriate spatial framework (spatial grid resolution/dimension)

Needs to be given a forcing e.g. climate/mass balance

Needs data for input/tuning and validation