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Brief communication: PICOP, a new ocean melt parameterization under ice shelves combining PICO and a plume model

机译:简短交流:PICOP,一种结合了PICO和羽流模型的冰架下的新海洋融化参数化

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Basal melting at the bottom of Antarctic ice shelves is a major control on glacier dynamics, as it modulates the amount of buttressing that floating ice shelves exert onto the ice streams feeding them. Three-dimensional ocean circulation numerical models provide reliable estimates of basal melt rates but remain too computationally expensive for century-scale projections. Ice sheet modelers therefore routinely rely on simplified parameterizations based on either ice shelf depth or more sophisticated box models. However, existing parameterizations do not accurately resolve the complex spatial patterns of sub-shelf melt rates that have been observed over Antarctica's ice shelves, especially in the vicinity of the grounding line, where basal melting is one of the primary drivers of grounding line migration. In this study, we couple the Potsdam Ice-shelf Cavity mOdel (PICO, Reese et?al. , 2018 ) to a buoyant plume melt rate parameterization ( Lazeroms et?al. , 2018 ) to create PICOP, a novel basal melt rate parameterization that is easy to implement in transient ice sheet numerical models and produces a melt rate field that is in excellent agreement with the spatial distribution and magnitude of observations for several ocean basins. We test PICOP on the Amundsen Sea sector of West Antarctica, Totten, and Moscow University ice shelves in East Antarctica and the Filchner-Ronne Ice Shelf and compare the results to PICO. We find that PICOP is able to reproduce inferred high melt rates beneath Pine Island, Thwaites, and Totten glaciers (on the order of 100?m?yr sup?1/sup ) and removes the “banding” pattern observed in melt rates produced by PICO over the Filchner-Ronne Ice Shelf. PICOP resolves many of the issues contemporary basal melt rate parameterizations face and is therefore a valuable tool for those looking to make future projections of Antarctic glaciers.
机译:南极冰架底部的基础融化是冰川动力学的主要控制因素,因为它调节着漂浮式冰架施加在向其供入的冰流上的支撑量。三维海洋环流数值模型提供了基础融化速率的可靠估计,但对于世纪尺度的预测而言,在计算上仍然过于昂贵。因此,冰盖建模者通常依赖于基于冰架深度或更复杂的盒子模型的简化参数设置。但是,现有的参数设置不能准确解决南极冰架上已观察到的子架融化速率的复杂空间格局,特别是在接地线附近,那里的基础融化是接地线迁移的主要驱动力之一。在这项研究中,我们将波茨坦冰架腔模型(PICO,Reese等,2018)与浮羽羽化速率参数化(Lazeroms等,2018)耦合以创建PICOP,这是一种新颖的基础融化速率参数化这很容易在瞬态冰盖数值模型中实现,并且产生的融化速率场与几个海盆的空间分布和观测量极佳。我们在南极西部,托特和南极东部的莫斯科大学冰架以及Filchner-Ronne冰架上对PICOP进行了测试,并将结果与​​PICO进行了比较。我们发现PICOP能够在派恩岛,Thwaites和Totten冰川下重现推断的高融化速率(大约100?m?yr ?1 ),并消除了在PICO在Filchner-Ronne冰架上产生的融化速率。 PICOP解决了当代基础融化速率参数化面临的许多问题,因此对于那些希望对南极冰川做出未来预测的人来说,它是一个有价值的工具。

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