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
You can have make you own analysis and plots by going here
Simulation Name as in Paper | Simulation name on web pages |
---|---|
LGM | xjlas |
LGM-glac | xkzil |
LGM+1Sv(strong) | xkygd |
LGM-glac+1Sv | xkyge |
LGMe1(strong) | xntdj |
LGMe2 | xntdk |
LGMe3 | xntdh |
LGMe4(weak) | xntde |
LGMe5(weak) | xntdi |
This dataset comprises atmosphere-only simulations with HadGEM2-ES for the glacial with prescribed anomalies of sea-surface temperature and sea-ice based on freshwater hosing simulations with HadCM3. The resultant impacts on the tropical mineral dust cycle are analysed in reference to Heinrich Stadial 1 when many marine sediment cores show dustier conditions.
Name | Hopcroft et al |
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Brief Description | This dataset comprises atmosphere-only simulations with HadGEM2-ES for the glacial with prescribed anomalies of sea-surface temperature and sea-ice based on freshwater hosing simulations with HadCM3. The resultant impacts on the tropical mineral dust cycle are analysed in reference to Heinrich Stadial 1 when many marine sediment cores show dustier conditions. |
Full Author List | Peter O. Hopcroft, Sylvain Pichat, Paul J. Valdes and Stephanie S. Kienast |
Title | Sensitivity of the tropical dust cycle to glacial abrupt climate changes |
Year | 2022 |
Journal | submitted |
Volume | in review |
Issue | |
Pages | |
DOI | |
Contact's Name | Peter Hopcroft |
Contact's email | p.hopcroft@bham.ac.uk |
Abstract | During abrupt climate changes of the last glacial period records show large amplitude changes in the dust cycle. We use Earth System model simulations to evaluate dust processes operating across these events. Idealised Heinrich Stadial-like simulations show a southwards migration of tropical rainfall that dries the Sahel and reduces wet deposition causing a widespread enhancement of tropical dust loading. However, several discrepancies with marine core dust deposition reconstructions are evident. Simulations with a more limited freshwater forcing (0.4Sv) and hence weaker cooling over North Atlantic (less than around 3°C) show a switch in sign of the stadial dust deposition anomaly in several key regions, improving agreement with paleorecords. The simulated dust cycle therefore displays in places a non-linear response to abrupt climate change. The global-mean stadial dust radiative forcing in the more realistic simulations is around -0.2 to -0.6Wm^-2 and so could represent an important amplifying feedback during these events. |