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| Titel |
Comparing records to understand past rapid climate change: An INTIMATE
database update |
| VerfasserIn |
Rebecca Kearney, Christopher Bronk Ramsey, Richard A. Staff, Paul G. Albert |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250138015
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| Publikation (Nr.) |
 EGU/EGU2017-907.pdf |
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| Zusammenfassung |
| Integrating multi-proxy records from ice, terrestrial and marine records enhances the
understanding of the temporal and spatial variation of past rapid climatic changes globally.
By handling these records on their own individual timescales and linking them through
known chronological relationships (e.g. tephra, 10Be and 14C), regional comparisons
can be made for these past climatic events. Furthermore, the use of time-transfer
functions enables the chronological uncertainties between different archives to be
quantified.
The chronological database devised by the working group 1 (WG1) of INTIMATE,
exclusively uses this methodology to provide a means to visualise and compare palaeoclimate
records. Development of this database is ongoing, with numerous additional records being
added to the database with a particular focus on European archives spanning the Late Glacial
period.
Here we present a new phase of data collection. Through selected cases study sites across
Europe, we aim to illustrate the database as a novel tool in understanding spatial and temporal
variations in rapid climatic change. Preliminary results allow questions such as time
transgression and regional expressions of rapid climate change to be investigated. The
development of this database will continue through additional input of raw climate
proxy data, linking to other relevant databases (e.g. Fossil Pollen Database) and
providing output data that can be analysed in the statistical programming language of
R. A major goal of this work to is not only provide a detailed database, but allow
researchers to integrate their own climate proxy data with that on the database. |
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