HR: 1340h
AN: A23B-0779 [Abstracts]
TI: Modeling glacial inception with GENIE
AU: * Rutt, I C
EM: i.c.rutt@bristol.ac.uk
AF: School of Geographical Sciences, University of Bristol, School of Geographical Sciences, University of
Bristol,
University Road, Bristol, BS8 1SS
United Kingdom
AU: Payne, A J
EM: a.j.payne@bristol.ac.uk
AF: School of Geographical Sciences, University of Bristol, School of Geographical Sciences, University of
Bristol,
University Road, Bristol, BS8 1SS
United Kingdom
AU: Lunt, D J
EM: d.j.lunt@bristol.ac.uk
AF: School of Geographical Sciences, University of Bristol, School of Geographical Sciences, University of
Bristol,
University Road, Bristol, BS8 1SS
United Kingdom
AU: Valdes, P J
EM: p.j.valdes@bristol.ac.uk
AF: School of Geographical Sciences, University of Bristol, School of Geographical Sciences, University of
Bristol,
University Road, Bristol, BS8 1SS
United Kingdom
AB:
Glacial inception is difficult to capture accurately in Earth-system models. It has been suggested that inception can occur
either when a wide area gains snow cover which persists from year to year, enhanced by the albedo feedback effect, or when
mountain glaciers merge to form larger volumes of ice (the mass balance-elevation effect). Insufficient horizontal resolution
may explain the difficulty of simulating the latter process, though it is unclear how it would impact on the former. In this
study, we consider the problem in the context of a new, modular Earth-system model (GENIE). In the present configuration,
GENIE is run with an intermediate-complexity, fully-dynamical atmosphere (T21, seven levels), a high-resolution
thermo-mechanical ice-sheet
model, a slab ocean and sea-ice model. A novel feature of the ice-sheet model is that it may be configured to run on any
number of arbitrary domains simultaneously, and at different resolutions. This enables small-scale topography to be captured
within the ice model over particular regions of the
Earth's surface, without compromising performance unduly.
Because of these difficulties, and specifically because it requires an accurate calculation of mass-balance, the modelling of
glacial inception is a stringent test of the model. It also exploits its particular strengths, namely
the flexible coupling of a high-resolution ice sheet model with a dynamical atmosphere. The coupling is achieved via a
degree-day method mass-balance scheme, forced by daily temperatures and precipitation from the atmospheric
model. The ice model performs a lapse-rate correction to account for the high-resolution topography, and returns albedo and
topography to the global model annually. The study considers the effects on modelled inception of orbital parameters and
CO$_2$ levels, with conditions 115kyr ago serving as a starting-point. A range of sensitivity studies are performed; these
results are presented and interpreted in the light of the characteristics of the model.
DE: 3337 Numerical modeling and data assimilation
DE: 3344 Paleoclimatology
DE: 1620 Climate dynamics (3309)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting