The Parallel Ice Sheet Model pism0.6 is an open source, parallel, high-resolution ice sheet model. Features:
|A system of conservative regridding for ice–atmosphere coupling in a GCM|
|investigators:||R. Fischer, S. Nowicki, M. Kelley, and G. A. Schmidt|
|journal:||Geosci. Model Dev.|
This paper describes a conservative method using elevation classes to regrid surface mass balance fields between low-resolution GCMs and high-resolution ice sheet models. The proposed transformations are both mass and energy conserving, making them suitable for two-way coupling between climate and ice sheet models. These transformations are implemented in Glint2, a library used to couple atmosphere models with ice models.
In a new Nature Communications paper, researchers at Victoria University and the University of New South Wales describe a model study of Antarctic ice sheet evolution over the last 25 kyr using PISM with ocean-forcing inputs from the Earth system model LOVECLIM. They show that when the ocean around Antarctica becomes more stratified, warm water at depth melts the ice sheet faster than when the ocean is less stratified.
The study used a large ensemble of 15 km PISM simulations in a data-constrained mode. In the simulations that best fit a variety of temporal and spatial observations, several episodes of accelerated ice-sheet recession occurred, with the timing of the largest being coincident with meltwater pulse 1A. This episode saw an abrupt rise in global sea level, with an Antarctic contribution of nearly three meters over just a few centuries.
In a Geoscientific Model Development Discussion paper, UAF author Ed Bueler and IMAU author Ward Van Pelt describe PISM's new mass conserving subglacial hydrology models.
For the PISM user with an interest in subglacial hydrology this paper provides a detailed description of all the subglacial hydrology models available in PISM versions v0.6 and above, along with a stability analysis, verification, and an application to the Greenland ice sheet.
PISM is jointly developed at the University of Alaska, Fairbanks (UAF) and the Potsdam Institute for Climate Impact Research (PIK). UAF developers, who are in the Glaciers Group at the GI, are supported by NASA's Modeling, Analysis, and Prediction and Cryospheric Sciences Programs (grants NAG5-11371, NNX09AJ38C, NNX13AM16G, NNX13AK27G) and by the Arctic Region Supercomputing Center.