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
Getech Paleogeography expts over the last 300 million years at a geological stage level.
You can have make you own analysis and plots by going here
Simulation Name as in Paper | Simulation name on web pages |
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Pre-industrial control | xggvh |
Eruption ensemble member 1 | tddcb |
Eruption ensemble member 2 | tddcc |
Eruption ensemble member 3 | tddcd |
Eruption ensemble member 4 | tddce |
Eruption ensemble member 5 | tddcf |
Ensemble-mean eruption | tddcX |
This paper reports HadGEM2-ES simulations of the 1815 Tambora volcanic eruption.
Name | Kandlbauer et al |
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Brief Description | This paper reports HadGEM2-ES simulations of the 1815 Tambora volcanic eruption. |
Full Author List | Jessy Kandlbauer, Peter O. Hopcroft, Paul J. Valdes and Stephen Sparks |
Title | Climate and carbon cycle response to the 1815 Tambora volcanic eruption |
Year | 2013 |
Journal | Journal of Geophysical Research |
Volume | |
Issue | 3-4 |
Pages | |
DOI | 10.1002/2013JD019767. |
Contact's Name | Peter O. Hopcroft |
Contact's email | p.hopcroft@bham.ac.uk |
Abstract | The sulphur released by the 1815 Tambora volcanic eruption resulted in a net cooling after the eruption. The cold climate was responsible for crop failures, leading to serious famine and high food prices in Europe and North America. The year 1816 became known as the 'year without summer'. We performed a series of climate simulations with the UK Met Office model HadGEM2-ES to assess the climate and carbon cycle consequences of the eruption. The model shows a temperature decrease of 1+-0.1C and global precipitation decrease of 3.7% in 1816. The following net primary productivity (NPP) increase is caused by strongly reduced plant respiration and supports the overall increase in land carbon storage after the eruption. Most of the carbon is taken up by the soil reservoir, mainly due to increased litter influx. Overall, the change of combined land and ocean carbon implies an atmospheric CO2 decrease of over 6 ppmv. C3 and C4 grasses, used here as an analogy for crops, revealed globally increasing productivity for C3 grasses/crops (e.g., wheat) by 8%, while C4 grasses/crops (e.g., maize) decreased by over 12%. Regional positive C3 and negative C4 NPP are mainly found in the tropics and midlatitudes, whereas positive C4 NPP areas are distributed in marginal areas. Negative C3 grasses anomalies are found in high0elevation and high-latitude regions. These findings highlight the importance of including process-based vegetation or crop model components to represent the potentially nonlinear dependencies on climatic changes. |