Opendata, web and dolomites


Space-time structure of climate change

Total Cost €


EC-Contrib. €






Project "SPACE" data sheet

The following table provides information about the project.


Organization address
postcode: 27570

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 1˙499˙082 €
 EC max contribution 1˙499˙082 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

I will determine and use the space-time structure of climate change from years to millennia to test climate models, fundamentally improve the understanding of climate variability and provide a stronger basis for the quantitative use of paleoclimate records. The instrumental record is only a snapshot of our climate record. Two recent advances allow a deeper use of the paleo-record: 1.increased availability and number of paleoclimate records, 2.major advances in the understanding of climate proxies. In a recent PNAS paper, we showed that consistent estimates of regional temperature variability across instruments and proxies can now be obtained by inverting the process by which nature is sampled by proxies. Empirical evidence and physics suggest an intrinsic link between time scale and the associated spatial scale of climate variations: While fast variations such as weather are regional, glacial-interglacial cycles appear to be globally coherent. I will quantify this presumed tendency of the climate system to reduce its degrees of freedom on longer time scales and use it to constrain the sparse, noisy and at times contradictory evidence of past climate changes. By systematically analyzing instrumental and paleo-records, I will 1. determine the space-time structure of climate changes on annual to millennial time scales. This provides the prerequisite for mapping past climate changes and will allow me to confront climate models with robust estimates of climate variability across spatial scales; 2. provide a clearer separation of internal and external forced climate variability, by leveraging their distinct space-time structures; 3. examine the past relationship between mean-state and climate variability to predict how variability will change in a warmer future. This will provide a key step forward to transform paleoclimate science from describing data to using the data as a quantitative test for models and system understanding in order to see more clearly into the future


year authors and title journal last update
List of publications.
2018 Andrew M. Dolman, Thomas Laepple
Sedproxy: a forward model for sediment-archived climate proxies
published pages: 1851-1868, ISSN: 1814-9324, DOI: 10.5194/cp-14-1851-2018
Climate of the Past 14/12 2019-05-15
2019 Maria Reschke, Kira Rehfeld, Thomas Laepple
Empirical estimate of the signal content of Holocene temperature proxy records
published pages: 521-537, ISSN: 1814-9324, DOI: 10.5194/cp-15-521-2019
Climate of the Past 15/2 2019-05-15
2019 Jeroen Groeneveld, Sze Ling Ho, Andreas Mackensen, Mahyar Mohtadi, Thomas Laepple
Deciphering the variability in Mg/Ca and stable oxygen isotopes of individual foraminifera
published pages: , ISSN: 1944-9186, DOI: 10.1029/2018pa003533
Paleoceanography and Paleoclimatology 2019-05-15
2018 Thomas Münch, Thomas Laepple
What climate signal is contained in decadal- to centennial-scale isotope variations from Antarctic ice cores?
published pages: 2053-2070, ISSN: 1814-9324, DOI: 10.5194/cp-14-2053-2018
Climate of the Past 14/12 2019-05-15
2018 Kira Rehfeld, Thomas Münch, Sze Ling Ho, Thomas Laepple
Global patterns of declining temperature variability from the Last Glacial Maximum to the Holocene
published pages: 356-359, ISSN: 0028-0836, DOI: 10.1038/nature25454
Nature 554/7692 2019-05-15
2019 Maria Reschke, Torben Kunz, Thomas Laepple
Comparing methods for analysing time scale dependent correlations in irregularly sampled time series data
published pages: 65-72, ISSN: 0098-3004, DOI: 10.1016/j.cageo.2018.11.009
Computers & Geosciences 123 2019-05-15
2018 Thomas Laepple, Thomas Münch, Mathieu Casado, Maria Hoerhold, Amaelle Landais, Sepp Kipfstuhl
On the similarity and apparent cycles of isotopic variations in East Antarctic snow pits
published pages: 169-187, ISSN: 1994-0416, DOI: 10.5194/tc-12-169-2018
The Cryosphere 12/1 2019-05-15

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