Numerical simulations of sediment drift evolution to reconstruct current conditions and sediment transport mechanisms under fundamentally different extreme polar climate situations adopting high-resolution records from ODP Leg 178, offshore the Antarctic

为了详细了解南极半岛漂移的时空演变，广泛的数值过程模拟对于重建新近纪长期的地质和海洋学框架至关重要。该项目将直接与IODP倡议-极端气候联系起来。数值模型能够测试广泛的情景，特别是评估(a)当前条件和(b)泥沙输运过程在空间和时间上的泥沙输入变化，特别是量化沿坡与下坡分量。因此，模拟可以获得有关过去海洋环流和环境条件的详细信息，从而确定气候变化。然而，沉积物理以及侵蚀和沉积准则在海洋环流模式中只得到部分实现。因此，本项目主要侧重于两个方面：(1)改进区域海洋环流模式（ROMS）中的输沙模块；(2)开发高分辨率三维正演模型来研究7号漂的演变。我们选择了OOP Leg 178区域，因为密集的地震剖面网格和大量高分辨率岩心记录了极端气候事件。这些可观的沉积学和地球物理数据提供了以下方面的信息：(a)事件层，(b)地震地层单元厚度，(c)地震地层单元内的粒度分布，以及(d)事件层上沉积物的物理性质，并将作为一个很好的模型输入。

To gain a detailed understanding of the temporal and spatial evolution of the Antarctic Peninsula drifts, extensive numerical process simulations are essential to reconstruct the geological as well as oceanographic framework over long-time periods during the Neogene. This project will be directly connected to the IODP initiative - extreme climates. Numerical models enable a wide spectrum of scenarios to be tested, specifically to evaluate (a) current conditions and (b) sediment input variations in space and time for sediment transport processes in particular to quantify the along-slope vs. down-slope component. Accordingly, simulations obtain detailed information about past oceanic circulation and environmental conditions to identify climate shifts. However, sediment physics as well as erosion and deposition criteria are only partially implemented in ocean circulation models. Thus, this project focuses on two major aspects: (I) improvement of the sediment transport module in ROMS (Regional Ocean Circulation Model) and (II) development of a high-resolution 3D forward model to investigate the evolution of Drift 7. We have selected the area of OOP Leg 178, because a dense grid of seismic profiles and numerous high-resolution cores document extreme climate episodes. These considerable sedimentological and geophysical data supply information about: (a) event horizons, (b) seismostratigraphic unit thicknesses, (c) grain-size distributions within seismostratigraphic units, and (d) physical properties of sediments at event horizons and will serve as an excellent model input.