Quantitiative interpretation of paleoclimate data
I enjoy to work across disciplines and to combine observational data, statistics and modeling. My current research focus is the estimation of climate variability and the mean temperature changes in the current warm period, the Holocene. This knowledge is relevant for predicting the spread of future climate changes and allows a direct test of climate models.
In the ECUS project, I’m coordinating a small team of researchers and students and work on a better use of the paleoclimate record to sharpen our knowledge about the climate system.
Bringing together paleoclimate proxy-based evidence and physical understanding based on modeling is the only way to enable good predictions of future climate. My current research focuses on the dependence of climate variability on the mean state of the earth system, and how this variability is recorded by terrestrial paleoclimate archives across space and time. My tools are methods from time series analysis, complex systems science, nonlinear dynamics and multivariate data analysis, which I use, develop, test and apply.
Sze Ling Ho
The temperature at the sea surface, which forms the interface of the atmosphere and the ocean, plays a role in modulating climate system. Knowledge of past sea surface temperature may therefore help us to understand how climate has evolved. My research focuses on validating and quantifying uncertainties in proxies for estimating past seawater temperature. I do this by examining the reproducibility of temperature proxies embedded in marine sediments and systematic multiproxy and proxy-model comparisons.
Interpretation of temperature signals derived from ice cores
Ice cores are a key archive to reconstruct millennial-scale climate changes in temperature, but are, due to the inherent noise levels of the proxy data, less reliable in recording the smaller Holocene climate variations. However, quantitative knowledge of the natural Holocene polar climate variability is a key to determine the range of plausible future anthropogenic climate change.
My Ph.D. project aims at improving our understanding of the climate signal and the
non-climate variability recorded in water isotopes from polar ice cores. Currently, I use extensive isotope data obtained from the two-dimensional sampling of snow trenches at Kohnen station, Antarctica, to disentangle these two contributions. Of my work I particularly like to combine the observations with statistical modeling and numerical approaches to understand the physics of the ice-core proxy recorder system.