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Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic

机译:流变学对海冰轨迹概率预报的影响:北极搜索和救援行动的应用

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We present a sensitivity analysis and discuss the probabilistic forecast capabilities of the novel sea ice model neXtSIM used in hindcast mode. The study pertains to the response of the model to the uncertainty on winds using probabilistic forecasts of ice trajectories. neXtSIM is a continuous Lagrangian numerical model that uses an elasto-brittle rheology to simulate the ice response to external forces. The sensitivity analysis is based on a Monte Carlo sampling of 12 members. The response of the model to the uncertainties is evaluated in terms of simulated ice drift distances from their initial positions, and from the mean position of the ensemble, over the mid-term forecast horizon of 10?days. The simulated ice drift is decomposed into advective and diffusive parts that are characterised separately both spatially and temporally and compared to what is obtained with a free-drift model, that is, when the ice rheology does not play any role in the modelled physics of the ice. The seasonal variability of the model sensitivity is presented and shows the role of the ice compactness and rheology in the ice drift response at both local and regional scales in the Arctic. Indeed, the ice drift simulated by neXtSIM in summer is close to the one obtained with the free-drift model, while the more compact and solid ice pack shows a significantly different mechanical and drift behaviour in winter. For the winter period analysed in this study, we also show that, in contrast to the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy's trajectories and compared to the capability of the free-drift model. We found that neXtSIM performs significantly better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search and rescue operations, although the sources of uncertainties assumed for the present experiment are not sufficient for complete coverage of the observed IABP positions.
机译:我们提出了一种敏感性分析,并讨论了在后播模式下使用的新型海冰模型neXtSIM的概率预测能力。该研究涉及使用冰轨迹的概率预测对风的不确定性做出的模型响应。 neXtSIM是连续的拉格朗日数值模型,使用弹塑性脆性流变学模拟冰对外力的响应。敏感性分析基于12个成员的蒙特卡洛采样。该模型对不确定性的响应是根据在10天的中期预报范围内距初始位置和集合平均位置的模拟冰漂移距离来评估的。模拟的冰漂移被分解为对流和扩散部分,分别在空间和时间上进行表征,并与自由漂移模型获得的结果进行比较,也就是说,当冰的流变学在模型的物理过程中不起作用时冰。介绍了模型敏感性的季节性变化,并显示了在北极局部和区域尺度上,冰密实度和流变学在冰漂移响应中的作用。的确,neXtSIM在夏季模拟的冰漂移接近于自由漂移模型所获得的冰漂移,而更紧凑,更坚固的冰袋在冬季表现出明显不同的机械和漂移行为。对于本研究中分析的冬季,我们还表明,与自由漂移模型相反,neXtSIM再现了从观测轨迹中发现的海冰拉格朗日扩散态。还使用大量的真实浮标轨迹评估了neXtSIM的预测能力,并将其与自由漂移模型的能力进行了比较。我们发现,neXtSIM在模拟海冰漂移方面,无论是在预报误差还是作为辅助搜索和救援行动的工具方面,都表现出明显更好的性能,尽管本实验假设的不确定性来源不足以完全覆盖所观测的IABP职位。

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