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 seven simulations used in this study. See Table S1 in the supporting information of the paper for more information.
You can have make you own analysis and plots by going here
| Simulation Name as in Paper | Simulation name on web pages |
|---|---|
| 30kyrBASE | teipf |
| 30kyrISO | teipd |
| 30kyrCONST_1 | teipp |
| 30kyrCONST_2 | teiiA |
| 30kyrORB | teipg |
| 30kyrGHG | teipb |
| 30kyrBATHY | teipo |
This paper investigates the Southern Hemisphere response to spontaneous DO-type oscillations in a GCM and compares the simulated response with paleodata from speleothems and ice cores.
| Name | Trombini et al. 2024 |
|---|---|
| Brief Description | This paper investigates the Southern Hemisphere response to spontaneous DO-type oscillations in a GCM and compares the simulated response with paleodata from speleothems and ice cores. |
| Full Author List | Trombini, I. and Weitzel, N. and Valdes, P. J. and Baudouin, J.-P. and Armstrong, E. and Rehfeld, K. |
| Title | Atmospheric and Oceanic Pathways Drive Separate Modes of Southern Hemisphere Climate in Simulations of Spontaneous Dansgaard-Oeschger-type Oscillations |
| Year | 2024 |
| Journal | Geophysical Research Letters |
| Volume | |
| Issue | 3-4 |
| Pages | |
| DOI | 10.22541/essoar.172202086.64896478/v1 |
| Contact's Name | Nils Weitzel |
| Contact's email | nils.weitzel@uni-tuebingen.de |
| Abstract | Dansgaard-Oeschger (DO) events are a dominant mode of millennial-scale climate variability during the last glacial period with most pronounced impacts in the North Atlantic region. In Antarctica, they manifest primarily as a muted and phase-shifted temperature signal, but recent studies suggest an additional in-phase component. Here, we analyze the Southern Hemisphere (SH) response to spontaneous DO-type oscillations in a general circulation model. The dominant Antarctic temperature mode is phase-shifted compared to Greenland temperature variations and consistent with the oceanic pathway described by the bipolar seesaw model. However, the leading SH atmospheric circulation mode varies synchronously with Greenland temperatures. A westward-shifted Walker circulation and strengthened Hadley cell during Greenland temperature maxima cause zonally heterogeneous jet stream anomalies differing from the Southern Annular Mode pattern. Comparison of simulated d18O with speleothems and ice cores indicates a good agreement in the tropics and SH mid-latitudes but deviations in Antarctica warrant further research. |