In order to understand and predict the human influence on the earth system, it is particularly important to quantify the structure of internal climate and environmental variability and the sensitivity of the earth system to external forcing. We develop and use a systematic approach to constrain the possible range of future climates and environments through the use of (proxy) observations, statistics and models.

Individual profiles

Space-time structure of climate change (SPACE)

European Research Council (ERC) Starting Grant

SPACE determines and uses 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.

DEEPICE

Horizon 2020 research and innovation programme

Fyntan Shaw's PhD project "Estimating and accounting for diffusion in deep ice using advanced statistical methods" is funded by the DEEPICE training network.

PalMod

Federal Ministry of Education and Research (BMBF)

As part of the national project PalMod, ESD members work on quantifying of transient proxy uncertainty.
 

 

 

Alumni:

Dr. Sze Ling Ho

Dr. Kira Rehfeld

Dr. Maria Reschke

Dr. Emily Richards

Igor Kröner

Dr. Mathieu Casado

Dr. Jeroen Groeneveld