GM2.5 | PICO

A key goal within geomorphic research is understanding the links between topographic form, erosion rates, and sediment production, transport and deposition. Numerical modelling, by allowing the creation of controlled analogues of natural systems, provides exciting opportunities to explore landscape evolution and generate testable predictions. Furthermore, the advancement of Earth surface monitoring capabilities in recent decades, such as the increasing availability of high-resolution topographic data and new techniques for constraining rates of erosion and deposition, allows the direct testing of numerical models at larger spatial and temporal scales than previously possible. Combining these different techniques provides exciting opportunities for furthering our understanding of Earth surface processes.

In this session, we invite contributions that use numerical modelling to investigate landscape evolution in a broad sense, and over a range of spatial and temporal scales. We welcome studies using models to constrain one or more of: erosion rates and processes, sediment production, transport and deposition, and sediment residence times. We also particularly wish to highlight studies that combine numerical modelling with direct Earth surface process monitoring techniques, such as topographic, field, stratigraphic, or geochronological data. There is no geographical restriction: studies may be focused on mountain environments or sedimentary basins, or they may establish links between the two; studies beyond planet Earth are welcome too.

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Co-organized as GD8.6/HS9.2.13/SSP3.19
Convener: Fiona Clubb | Co-conveners: Mikaël Attal, Sebastien Castelltort, Tom Coulthard, Marco Van De Wiel
PICOs
| Tue, 09 Apr, 08:30–10:15
 
PICO spot 1
A key goal within geomorphic research is understanding the links between topographic form, erosion rates, and sediment production, transport and deposition. Numerical modelling, by allowing the creation of controlled analogues of natural systems, provides exciting opportunities to explore landscape evolution and generate testable predictions. Furthermore, the advancement of Earth surface monitoring capabilities in recent decades, such as the increasing availability of high-resolution topographic data and new techniques for constraining rates of erosion and deposition, allows the direct testing of numerical models at larger spatial and temporal scales than previously possible. Combining these different techniques provides exciting opportunities for furthering our understanding of Earth surface processes.

In this session, we invite contributions that use numerical modelling to investigate landscape evolution in a broad sense, and over a range of spatial and temporal scales. We welcome studies using models to constrain one or more of: erosion rates and processes, sediment production, transport and deposition, and sediment residence times. We also particularly wish to highlight studies that combine numerical modelling with direct Earth surface process monitoring techniques, such as topographic, field, stratigraphic, or geochronological data. There is no geographical restriction: studies may be focused on mountain environments or sedimentary basins, or they may establish links between the two; studies beyond planet Earth are welcome too.