EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using proxy data to characterize the spatio-temporal structure of climate variablity

Raphaël Hébert1, Torben Kunz1, and Thomas Laepple1,2
Raphaël Hébert et al.
  • 1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung, Potsdam, Germany
  • 2University of Bremen, MARUM – Center for Marine Environmental Sciences and Faculty of Geosciences, Bremen, Germany

The spatial scale of climate fluctuations, or effective spatial degrees of freedom (ESDOF), depends on the timescale and the forcing: while local scale variability between far away locations may be independent on short timescales, they may become coherent over sufficiently long timescales, or if they are driven by a common forcing. While ESDOF have been estimated from instrumental data over the historical period and climate model simulations, it remains difficult to perform such analysis on paleoclimate data given the time uncertainty and proxy-specific bias. We take advantage of a database of absolutely dated annual proxies comprising tree ring, corals and varved sediments in order to provide the first estimate of ESDOF for longer than multi-decadal timescales based on proxy-data.

How to cite: Hébert, R., Kunz, T., and Laepple, T.: Using proxy data to characterize the spatio-temporal structure of climate variablity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10736,, 2022.