Driving mechanisms of climate dynamics and landscape evolution operate on a variety of time scales, but instrumental measurements are only available for a limited time period and thus only capture a fraction of the potential variability. On longer time scales, proxy data from various geological and biological archives have demonstrated that past climate changes can cause major impacts on human societies. This approach, however, has its limitation in the uncertainty of proxy interpretation. It is a challenge for science to firmly link proxy time series and instrumental data in order to reduce the constrictions inherent in both approaches. Combined instrumental observation of climate, surface processes and proxy formation shed light on the processes of climate and landscape evolution and their footprints in proxy time series. This approach leads to a sophisticated proxy interpretation allowing for an advanced assessment of ongoing changes based on a longer time perspective.
This session aims to address specific problems of research at the interface of instrumental and proxy time scales, for example, the different temporal resolution of data. We would like to foster discussions among researchers from different disciplines trying to elaborate a process understanding of regional climate and landscape dynamics on various timescales. Geologically young landscapes like the northern central European lowlands or the Alps are ideal test regions to decipher landscape evolution from its initial phase after the glacial retreat until today.
We especially welcome contributions on
- Analyses of instrumental hydrological and meteorological data, remote sensing data, historical information and proxy data aiming at a comprehensive understanding of landscape evolution processes
- Monitoring of proxy data formation (e.g. lake sedimentation, tree ring growth)
- Synchronization and dating of proxy data time series from different natural archives (lake sediments, tree rings, soil sequences) investigating the impact and interaction of landscape forming processes.
- Hypothesis testing using landscape evolution models