Late Quaternary deglaciation of the Amundsen Sea: Implications
for ice sheet modeling.
Not exact matches
«The widespread loss of Antarctic
ice shelves, driven by a warming ocean or warming atmosphere, could spell disaster
for our coastlines — and there is sound geological evidence that supports what the
models are telling us,» said Robert M. DeConto of the University of Massachusetts Amherst, a co-author of the study and one of the developers of the
ice -
sheet model used.
Another promising approach involves combining physics, statistical
modeling and computing to derive sound projections
for the future of
ice sheets.
Noise and biases are accounted
for in the
model that ultimately produces
ice sheet data.
Recent
modelling by researchers from the Potsdam Institute
for Climate Impact Research in Germany, as well as studies of past climate, suggest that the planet will soon have warmed enough to melt Greenland's
ice sheet entirely — if it hasn't already become warm enough.
Over the current century, the
model projects that the average albedo
for the entire
ice sheet will fall by as much as 8 percent, and by as much 10 percent on the western edge, where the
ice is darkest today.
Research by the UK Centre
for Polar Observation and
Modelling (CPOM) at the University of Leeds has produced the first complete map of how the
ice sheet's submarine edge, or «grounding line,» is shifting.
The international team of co-authors, led by Peter Clark of Oregon State University, generated new scenarios
for temperature rise, glacial melting, sea - level rise and coastal flooding based on state - of - the - art climate and
ice sheet models.
The revised estimate
for sea - level rise comes from including new processes in the 3 - dimensional
ice sheet model, and testing them against past episodes of high sea - levels and
ice retreat.
The international research initiative IceGeoHeat led by the GFZ German Research Centre
for Geosciences establishes in the current online issue of Nature Geoscience that this effect can not be neglected when
modeling the
ice sheet as part of a climate study.
This
model reconstruction has already proven a vital constraint
for understanding complex systems beyond the
ice sheet realm.
Bed topography data are vital
for computer
models used to project future changes to
ice sheets and their contribution to sea level rise.
But the large volumes of data on Arctic sea and land
ice that IceBridge has collected during its nine years of operations there have also enabled scientific discoveries ranging from the first map showing what parts of the bottom of the massive Greenland Ice Sheet are thawed to improvements in snowfall accumulation models for all of Greenla
ice that IceBridge has collected during its nine years of operations there have also enabled scientific discoveries ranging from the first map showing what parts of the bottom of the massive Greenland
Ice Sheet are thawed to improvements in snowfall accumulation models for all of Greenla
Ice Sheet are thawed to improvements in snowfall accumulation
models for all of Greenland.
The consequences of global sea level rise could be even scarier than the worst - case scenarios predicted by the dominant climate
models, which don't fully account
for the fast breakup of
ice sheets and glaciers, NASA scientists said today (Aug. 26) at a press briefing.
The
ice sheets themselves are the biggest challenge
for climate
modelling since we don't have direct evidence of the many of the key processes that occur at the
ice sheet base (
for obvious reasons), nor even of what the topography or conditions are at the base itself.
A 3 - D
model for the Antarctic
ice sheet: a sensitivity study on the glacial - interglacial contrast.
Constraints such as these are important
for numerical
models that attempt to replicate and predict the past and future behaviour of the Antarctic
Ice Sheet.
Alley, R.B. Towards a hydrological
model for computerized
ice -
sheet simulations.
The heights of the rectangular bars denote best estimate values guided by published values of the climate change agents and conversion to radiative perturbations using simplified expressions
for the greenhouse gas concentrations and
model calculations
for the
ice sheets, vegetation and mineral dust.
Thomas, R.H., and C.R. Bentley, A
model for Holocene retreat of the West Antarctic
ice sheet, Quaternary Research, Vol.
For example, some exciting work being done by David Pollard and Rob DeConto suggests that processes such as
ice - cliff collapse and
ice - shelf hydrofracturing may play important roles in future
ice sheet behavior that have not been well incorporated into most
ice sheet models.
Willis, M J, Wilson, T J, James, T S, Mazzotti, S, (2009), GPS Constraints on Glacial Isostatic Adjustment
Models and Implications
for Ice Sheet Mass Balance in West Antarctica, Eos Trans.
Inputs needed
for a typical Antarctic
ice sheet model are the elevation of the bed beneath the
ice sheet, air temperature, snowfall and the heat input from the rock below (geothermal heat flux).
Many
ice sheet models are now freely available,
for example, Elmer, Glimmer - CISM, ISSM, PISM, SICOPLIS, making it possible
for a wider community to be able to use these
models to answer a wide range of scientific questions.
Willis, M J, Wilson, T J, James, T S, Mazzotti, S, Bevis, M G, Kendrick, E C, Brown, A, (2010) Geodetically - Constrained Glacial Isostatic Adjustment
models of Antarctica: Implications
for the Mass Balance of the West Antarctic
Ice Sheet, Abstract G34A - 03 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13 - 17 Dec..
Models of mountain (alpine) glaciers are applied to solve similar problems to those models used for polar ice sheets, but typically have a higher resolution (a smaller grid size) and need to consider the effects of steep and often variable bed slopes, and the transverse stresses found in valley gla
Models of mountain (alpine) glaciers are applied to solve similar problems to those
models used for polar ice sheets, but typically have a higher resolution (a smaller grid size) and need to consider the effects of steep and often variable bed slopes, and the transverse stresses found in valley gla
models used
for polar
ice sheets, but typically have a higher resolution (a smaller grid size) and need to consider the effects of steep and often variable bed slopes, and the transverse stresses found in valley glaciers.
This information is vital
for numerical
models, and answers questions about how dynamic
ice sheets are, and how responsive they are to changes in atmospheric and oceanic temperatures.
Scientific knowledge input into process based
models has much improved, reducing uncertainty of known science
for some components of sea - level rise (e.g. steric changes), but when considering other components (e.g.
ice melt from
ice sheets, terrestrial water contribution) science is still emerging, and uncertainties remain high.
Numerical computer
modelling of the glacier
for these different time periods will help us understand whether this part of the
ice sheet is susceptible to rising sea level, warming oceans or increased atmospheric temperatures.
Model studies
for climate change between the Holocene and the Pliocene, when Earth was about 3 °C warmer, find that slow feedbacks due to changes of
ice sheets and vegetation cover amplified the fast feedback climate response by 30 — 50 % [216].
«These are two of the largest and most rapidly changing glaciers in Antarctica, so the potential
for their evolution to influence each other is important to consider in
modeling ice sheet behavior and projecting future sea level rise,» Dustin Schroeder, a Stanford geophysicist who led the study, told Earther.
Statements such as «They come to believe
models are real and forget they are only
models» reveals he has never had a conversation with a climate modeller — our concerns about
ice sheets for instance come about precisely because we aren't yet capable of
modelling them satisfactorily.
For example, how much confidence can we really have in results from
ice sheet models, which very likely miss important mechanisms (e.g., due to limited understanding of ocean -
ice shelf interactions, calving physics and influence of small - scale topography)?
For example, this one at the NY Times: Climate
Model Predicts West Antarctic
Ice Sheet Could Melt Rapidly.
Proposed explanations
for the discrepancy include ocean — atmosphere coupling that is too weak in
models, insufficient energy cascades from smaller to larger spatial and temporal scales, or that global climate
models do not consider slow climate feedbacks related to the carbon cycle or interactions between
ice sheets and climate.
The periods considered were mainly the Pleistocene
ice age cycles, the LGM and the Pliocene, but Paul Valdes provided some interesting
modeling that also included the Oligocene, the Turonian, the Maastrichtian and Eocene, indicating the importance of the base continental configuration,
ice sheet position, and ocean circulation
for sensitivity.
«This uncertainty is illustrated by Pollard et al. (2015), who found that addition of hydro - fracturing and cliff failure into their
ice sheet model increased simulated sea level rise from 2 m to 17 m, in response to only 2 °C ocean warming and accelerated the time
for substantial change from several centuries to several decades.»
Or is the freshwater flux to the ocean from the melting
ice sheet for some reason not represented in the
models as a forcing on the circulation?
Re 42 Gavin, it seem we have to wait a bit more to see polar
ice sheets growing
for more heat when yr
models have continuously overestimated polar amplification, please see:
The essence of the comment is a
model that we put together that (I think) is the simplest that you can derive that includes a carbon cycle,
ice sheets, and allows
for the standard «Charney» sensitivity (ECS) and the ESS to vary independently.
For example, Hansen's recent paper on Scientific Reticence is quite explicit that much of important physics of
ice sheets is not included in the
models, hence his raising of matters to do with nonlinear behaviour (eg disintegration) of
ice sheets.
• Current global
model studies project that the Antarctic
ice sheet will remain too cold
for widespread surface melting and is expected to gain in mass due to increased snowfall.
But again the «
models» estimate includes an observed
ice sheet mass loss term of 0.41 mm / year whereas
ice sheet models give a mass gain of 0.1 mm / year
for this period; considering this, observed rise is again 50 % faster than the best
model estimate
for this period.
The
models we have
for ice sheet dynamics are quite new, and we have no way of testing them.
On unreliability of
models see O'Reilly et al. (2012), pp. 721 - 22; «there is still no robust, credible
model for the interaction of melting
ice sheets with the ocean,» Holland and Holland (2015).
In light of this prediction and global climate
model forecasts
for continued high - latitude warming, the
ice sheet mass budget deficit is likely to continue to grow in the coming decades.
It is possible that effective climate sensitivity increases over time (ignoring, as
for equilibrium sensitivity,
ice sheet and other slow feedbacks), but there is currently no
model - independent reason to think that it does so.
With a much - needed GRACE follow - on mission being planned and expected to launch around 2017, observation and
modelling of Antarctic GIA will continue to give us insights into the
ice sheet history — from the LGM through to the present — and hence provide the context
for any future changes.
«A
Model for Holocene Retreat of the West Antarctic
Ice Sheet.»
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models, conferences, coral bleaching, coral reefs grow, coral reefs shrink, cold spells, crumbling roads, buildings and sewage systems, damages equivalent to $ 200 billion, Dengue hemorrhagic fever, dermatitis, desert advance, desert life threatened, desert retreat, destruction of the environment, diarrhoea, disappearance of coastal cities, disaster
for wine industry (US), Dolomites collapse, drought, drowning people, drowning polar bears, ducks and geese decline, dust bowl in the corn belt, early spring, earlier pollen season, earthquakes, Earth light dimming, Earth slowing down, Earth spinning out of control, Earth wobbling, El Nià ± o intensification, erosion, emerging infections, encephalitis,, Everest shrinking, evolution accelerating, expansion of university climate groups, extinctions (ladybirds, pandas, pikas, polar bears, gorillas, whales, frogs, toads, turtles, orang - utan, elephants, tigers, plants, salmon, trout, wild flowers, woodlice, penguins, a million species, half of all animal and plant species), experts muzzled, extreme changes to California, famine, farmers go under, figurehead sacked, fish catches drop, fish catches rise, fish stocks decline, five million illnesses, floods, Florida economic decline, food poisoning, footpath erosion, forest decline, forest expansion, frosts, fungi invasion, Garden of Eden wilts, glacial retreat, glacial growth, global cooling, glowing clouds, Gore omnipresence, Great Lakes drop, greening of the North, Gulf Stream failure, Hantavirus pulmonary syndrome, harvest increase, harvest shrinkage, hay fever epidemic, heat waves, hibernation ends too soon, hibernation ends too late, human fertility reduced, human health improvement, hurricanes, hydropower problems, hyperthermia deaths,
ice sheet growth,
ice sheet shrinkage, inclement weather, Inuit displacement, insurance premium rises, invasion of midges, islands sinking, itchier poison ivy, jellyfish explosion, Kew Gardens taxed, krill decline, landslides, landslides of
ice at 140 mph, lawsuits increase, lawyers» income increased (surprise surprise!)