Glacial Isostatic Adjustment Contributions to Tide Gauge, Altimetry and GRACE Observations - PowerPoint PPT Presentation

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Glacial Isostatic Adjustment Contributions to Tide Gauge, Altimetry and GRACE Observations

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Edited version: original s 12-19 removed Glacial Isostatic Adjustment Contributions to Tide Gauge, Altimetry and GRACE Observations Glenn Milne – PowerPoint PPT presentation

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Title: Glacial Isostatic Adjustment Contributions to Tide Gauge, Altimetry and GRACE Observations


1
Glacial Isostatic Adjustment Contributions to
Tide Gauge, Altimetry and GRACE Observations
Edited version original slides 12-19 removed
  • Glenn Milne
  • Dept of Earth Sciences
  • University of Durham, UK

Contributors Mark Tamisiea, Konstantin Latychev,
Erik Ivins, Philippe Huybrechts, Jerry Mitrovica,
Bert Vermeersen.
2
http//www.ngdc.noaa.gov/paleo/slides/slideset/ind
ex11.htm
3
GLACIAL ISOSTATIC ADJUSTMENT
Surface Mass Redistribution
Earth
Earth Response
  • Relative sea level
  • Geopotential
  • Rotation vector
  • 3D solid surface deformation

Model
Surface load Rotational potential
Rheological Earth model
Constraints on surface mass redistribution
Better understanding of GIA process
Constraints on Earth rheology
4
Key Elements of a GIA Model
Earth Forcing
Earth Model
Rotational potential
Surface loading
Geometry
Rheology
Euler equations
Spherical/Flat Internal structure 1D 3D
Viscoelastic Linear and non-linear viscous
deformation
Ice Model
Ocean Model
Multidisciplinary approach
Sea-level equation
5
GIA Response Driven by Contemporary and Past
Mass Flux
Tamisiea et al., 2003
6
How Can the GIA Community Contribute to a Better
Understanding of Recent Sea-Level Changes?
Ice-ocean mass exchange Ocean warming
Climate change
Anthropogenic effects
Proxy records
Tide Gauges
SEA-LEVEL FORCINGS
SEA-LEVEL OBSERVATIONS
Ocean dynamics
Solid Earth motion
Satellite Altimetry
Ocean-atmosphere interaction
Satellite Gravity
7
Viscous Memory of Solid Earth to Past Ice-Ocean
Mass Flux
8
A
B
Mitrovica and Milne (2002)
9
The Influence of Variations in Earth Model
Viscosity Structure on Observations of Sea-Level
Change
  • How sensitive is the GIA signal associated with
    past ice-ocean mass flux to changes in Earth
    model viscosity structure?
  • Consider the correction to be applied to tide
    gauges, satellite altimetry and GRACE.
  • Is the uncertainty in the correction significant
    compared to errors in the observations?
  • Note results based on a single global ice model.

10
Employ Careful Selection Criteria to Minimise
Influence of Solid Earth Motion
Douglas, 1997
11
SLR1.50.1 mm/yr
SLRGIA1.80.1 mm/yr
I I
12
Influence of Radial Mantle Viscosity Variations
on GIA-Correction at Tide Gauge Sites
LT 70-120 km UMV 0.1-1x1021 Pas LMV
2-50x1021 Pas
13
GIA Contribution to Observations of Recent
Cryosphere Changes?
Satellite Gravity
Satellite Altimetry
Proxy records
Tide Gauges
ICE SHEET OBSERVATIONS
SEA-LEVEL OBSERVATIONS
Airborne Altimetry
Synthetic Aperture Radar (InSAR)
Satellite Altimetry
Satellite Gravity
14
How Sensitive are GIA Contributions to Altimetry
and GRACE Observations to Differences in Current
Ice Models?
  • Adopt a few different ice models for Antarctic
    and Greenland and predict present-day crustal
    uplift and geoid rate signals.
  • Consider only the on-going viscous Earth
    response to past variations of these ice sheets.
  • Influence of Earth model uncertainty is not
    considered.

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Summary
  • Solid Earth motion associated with past
    ice-ocean mass flux is a significant contaminant
    signal in observations related to sea-level
    changes (GRACE, tide gauges and proxy records,
    Satellite Altimetry) and cryosphere changes
    (Altimetry and GRACE).
  • The accuracy of the climate signal inferred from
    these observations therefore depends on the
    accuracy of the GIA model correction.
  • The correction applied is sensitive to the
    adopted ice history and Earth viscosity model.

22
Recommendations
  • GIA community
  • - Make predictions available (data correction
    and site selection)
  • - Continue to improve and refine Earth and
    ice components of model
  • User community
  • - Employ well-calibrated regional models if
    possible or
  • - Use a suite of model predictions
  • - Use measurements of crustal motion
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