A: Climate Dynamics and Variability ...

This key research area focuses on the natural sciences; in particular, questions about climate variability and predictability, feedback mechanisms in the climate system and lately, regional and global sea level rises: How do external disturbances impact climate predictability? What crucial climate and carbon cycle interactions can a 100-year timescale indicate? What threshold values are critical, e.g., in assessing tropical rainfall or shifts in monsoon circulation and margins? To what extent can oceanic heat absorption curb global change and what sea level variations and changes will follow?

A1: Climate Variability and Predictability

Our climate variability and prediction researchers investigate internal fluctuations and external triggers.

A2: Climate Processes and Feedback

The analysis of external and human-induced climate forcing requires an improved understanding of feedback processes within and between climate system components.

A3: Climate Sensitivity and Sea Level

We examine causes and ramifications of regional and global sea level changes based on decade-to-century timescales.

CRG Climate System Data Assimilation

Our research approach is based on data assimilation. Aiming to broaden the understanding of oceanic circulation dynamics, we incorporate our observations into computer models of the climate system.

CRG Numerical Methods in Geosciences

The mathematical description of physical, chemical, or biological processes is pivotal to prognostic climate modeling and risk analyses as well as to understanding climate phenomena.

CRG Terrestrial Remote Sensing

Satellite remote sensing helps us observe near-surface climate variability and dynamics. The thus generated data sets are employed to evaluate climate models.

Glaciers in Greenland

CRG Glaciology (2010-2012)

The cryosphere is a key element of our climate system. CliSAP’s Glaciology research group adapted numerical models for dynamical ice sheets, ice shelves, and ice streams. These improved models enabled our scientists to investigate processes that govern predictability.