For a fuller description of the paper itself, go to the end of this web page.
Each simulation published in this paper corresponds to a unique 5 or 6 character code on the web pages.
The following table lists the name of the simulation as used in the paper, and the corresponding code name
The webpage gives you the ability to examine the published simulations, but you can also download the raw (netcdf) files to perform your own analysis. Detailed instructions on how to use the webpages and access the data can be found here: Using_BRIDGE_webpages.pdf
There are a lot of simulations going into this paper but they are grouped around two sequences, one using orbital and greenhouse gas forcing and the second also including ice sheets and land sea changes.
You can have make you own analysis and plots by going here
| Simulation Name as in Paper | Simulation name on web pages |
|---|---|
| Pre-Industrial HadCM3 control simulation (associated with 400pmv and 560ppmv expts) | tbpse |
| 400ppmv HadCM3 simulation | tbpsb |
| 560ppmv HadCM3 simulation | tbpsc |
| Pre-Industrial HadCM3L control simulation (associated with 1120ppmv simulation) | xbowc |
| 1120ppmv HadCM3L simulation | xbowe |
This paper presents an ensemble of Glimmer ice sheet model simulations which test the sensitivity of the modern state of the Greenland ice sheet to various parameters.The six 'best' ensemble members are selected and forced with future scenario HadCM3 climatologies showing a threshold of ice sheet collapse for carbon dioxide values between 400 and 560ppmv.
| Name | Stone et al |
|---|---|
| Brief Description | This paper presents an ensemble of Glimmer ice sheet model simulations which test the sensitivity of the modern state of the Greenland ice sheet to various parameters.The six 'best' ensemble members are selected and forced with future scenario HadCM3 climatologies showing a threshold of ice sheet collapse for carbon dioxide values between 400 and 560ppmv. |
| Full Author List | E. J. Stone, D. J. Lunt, I. C. Rutt, E. Hanna |
| Title | Investigating the sensitivity of numerical model simulations of the modern state of the Greenland ice-sheet and its future response to climate change |
| Year | 2010 |
| Journal | The Cryosphere |
| Volume | 4 |
| Issue | 3-4 |
| Pages | 397-417 |
| DOI | 10.5194/tc-4-397-2010 |
| Contact's Name | Emma Stone |
| Contact's email | Emma.j.stone@bristol.ac.uk |
| Abstract | Ice thickness and bedrock topography are essential boundary conditions for numerical modelling of the evolution of the Greenland ice-sheet (GrIS). The datasets currently in use by the majority of GrIS modelling studies are over two decades old and based on data collected from the 1970s and 80s. We use a newer, hig -resolution Digital Elevation Model of the GrIS and new temperature and precipitation forcings to drive the Glimmer ice-sheet model offline under steady state, present day climatic conditions. Comparisons are made of ice-sheet geometry between these new datasets and older ones used in the EISMINT-3 exercise. We find that changing to the newer bedrock and ice thickness makes the greatest difference to Greenland ice volume and ice surface extent. When all boundary conditions and forcings are simultaneously changed to the newer datasets the ice-sheet is 33% larger in volume compared with observation and 17% larger than that modelled by EISMINT-3. We performed a tuning exercise to improve the modelled present day ice-sheet. Several solutions were chosen in order to represent improvement in different aspects of the GrIS geometry: ice thickness, ice volume and ice surface extent. We applied these new parameter sets for Glimmer to several future climate scenarios where atmospheric CO2 concentration was elevated to 400, 560 and 1120 ppmv (compared with 280 ppmv in the control) using a fully coupled General Circulation Model. Collapse of the ice-sheet was found to occur between 400 and 560 ppmv, a threshold substantially lower than previously modelled using the standard EISMINT-3 setup. This work highlights the need to assess carefully boundary conditions and forcings required by ice-sheet models, particularly in terms of the abstractions required for large-scale ice-sheet models, and the implications that these can have on predictions of ice-sheet geometry under past and future climate scenarios |