ChronoClimate: Deeper insights into abrupt climate change using a new chronological platform
Name of applicant
Sune Olander Rasmussen
Institution
University of Copenhagen
Amount
DKK 4,705,714
Year
2017
Type of grant
Semper Ardens: Accelerate
What?
The ChronoClimate project will provide new knowledge on the mechanisms of abrupt climate changes of the past, thereby improving our ability to manage the risk of future abrupt climate change. The project will generate new ice-core data and develop improved methodologies for dating and integration of climate data series from different natural archives and parts of the climate system. This chronologically consistent information on past abrupt climate change will then be analysed together with climate model data in order to investigate the governing mechanisms of climate change in the oceans, cryosphere, and atmosphere.
Why?
Abrupt climate change constitutes an major risk for humanity and is at the same time an outstanding research challenge with enormous potential for increasing understanding of the interplay between the components of the climate system-the oceans, the atmosphere, and the cryosphere. While the main focus of the project is the climate change of the past, the increased process understanding can largely be transferred to the climate of the future, thereby improving the predictive power of climate models, as well as identifying under which conditions abrupt climate change occurs.
How?
The first part is focused on improving Greenland ice-core chronologies and making new links to Antarctic ice cores. The second part of the project aims to establish a new common chronological platform for climate records by integrating information from e.g. ice cores, marine sediments, and caves, thereby quantifying and resolving differences in dating methodologies. Beryllium-10 measurements will enable new synchronization opportunities between ice cores and other climate data, circumventing problematic assumptions about globally synchronous climate change. Finally, based on the aggregated data series and observed timing differences between changes in different parts of the climate system, we will formulate and test hypotheses about mechanisms of abrupt climate change.