
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Analysis of the climate signal contained within δ18O and growth rate parameters in two Ethiopian stalagmites

We combine surface and cave climate monitoring with multiple stalagmite parameters to help understand and calibrate the climate records contained within stalagmites from a region with strong rainfall seasonality. Two actively growing stalagmites from Ethiopia were analysed in order to investigate the climate signal contained within δ18O and growth rate parameters. The δ18O and growth rate of the two stalagmites give different responses to surface climate due to variations in the climate signal transfer. Both stalagmites (Merc-1 and Asfa-3) have a climate response that is seasonal; however this signal is subsequently smoothed by the mixing of event and storage water within the aquifer. Merc-1 responds more to high frequency (‘event’) climate, due to a greater ratio of event to storage water in this sample, whereas Asfa-3 responds more to low frequency (‘storage’) climate. In addition, different parameters respond to different seasons. For example, stalagmite Asfa-3, from greater depth from the surface and with a slow drip rate, has a growth rate that responds to the amount of summer rain. In contrast, Merc-1, closer to the surface and with a faster drip rate, exhibits no clear response to surface climate, probably due to a more complex climate signal transfer. δ18O response varies with stalagmite due to the interplay between rainfall forcing factors (amount, seasonality) and disequilibrium kinetics, with opposing correlations between seasonal rainfall and δ18O between the samples. Our results demonstrate that analysis of seasonal climate forcing, and transfer functions reflecting the mixing of event and storage water, may be the most appropriate approach to develop of transfer functions appropriate for high-resolution, stalagmite climate reconstruction.
- Florida Southern College United States
- French National Centre for Scientific Research France
- University of Birmingham United Kingdom
- Addis Ababa University Ethiopia
- CEA LETI France
550, Laser, Karst, Stalagmites, 551, Stalagmite, [SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology, Climate change, Imagery, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Spectroscopy, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 500, Organic Matter, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Earth Sciences, E4/E6, Ethiopia
550, Laser, Karst, Stalagmites, 551, Stalagmite, [SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology, Climate change, Imagery, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Spectroscopy, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 500, Organic Matter, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Earth Sciences, E4/E6, Ethiopia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).68 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
