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Mind the Gap! Techniques to overcome multi-scale issues in geological and geomorphic processes (co-organized)
Convener: Anouk Beniest  | Co-Conveners: Jan Henrik Blöthe , Camille Parlangeau , Henry Munack , Maurizio Petrelli , Sabine Kraushaar 
 / Mon, 18 Apr, 08:30–10:00
 / Attendance Mon, 18 Apr, 17:30–19:00

Research in geosciences is done at a wide variety of scales, covering different orders of magnitude from grains to continents, from seconds to Millions of years, and from hardly noticeable processes to those with catastrophic behavior.

Depending on the scale, results and interpretations might point in very different directions. The common aim is to understand geological and/or geomorphological processes over time in order to predict the system’s evolution where we lack appropriate methods of observation. It is very challenging to connect, compare and predict observations across different spatio-temporal scales. Additional challenges arise from the likely increase of data scatter and the scale-dependency of geological and environmental processes.

Comprehending how we relate observations to processes on a different scale is of crucial importance when applying these processes in e.g. hydrocarbon exploration, the study of magmatic systems, CO2 storage and analyzing process of natural hazards. How can we overcome the gap between findings on very different spatio-temporal scales?

This session is dedicated to collect studies relevant for understanding multi-scale (possibly fractal) aspects of geologic and geomorphic processes. We invite contributions that discuss the challenges (and chances) that arise from combining and interpreting results obtained on different scales, from small to large, from short to long. The emphasis lies on adequate concepts, as well as numerical and analogue techniques and methods used to tackle scaling issues.

Contributions that cover the field of: geology (incl. geodynamics, tectonics, volcanology) geomorphology and seismology and earth critical zones (i.e. soil hydrology, landslide processes) are more than welcome.

Discussing state-of the-art successful (and less-successful) approaches in tackling scale issues in our field we would like to address questions like: 1) How can observations on different scales be combined? 2) How can we transfer observations we make on one scale to another? 3) How do we justify the upscaling- and downscaling techniques we implement? 4) What techniques are working and in what direction should we continue investigating?