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Estimation of sea ice parameters using an assimilated sea ice model with a variable drag formulation
Ocean Modelling ( IF 3.1 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.ocemod.2020.101739
Siva Prasad , Ronald D. Haynes , Igor Zakharov , Thomas Puestow

Abstract In this work, sea ice concentrations in the regions of Baffin Bay, Hudson Bay, the Labrador Sea and the Gulf of St. Lawrence were estimated using a standalone regional configuration of Los Alamos Sea ice Model, CICE. A sensitivity analysis of the mixed layer depth criteria that affects the predicted sea ice formation/ablation has been carried out to tune the model. Sea ice concentration from AMSR2 OSISAF, sea ice edge from SSMIS/ASCAT OSISAF, and sea surface temperature from OISST AVHRR-only products were then assimilated into the tuned model using a combined optimal interpolation method. Extending previous studies, which used a constant drag formulation in their assimilation schemes, we use a variable drag formulation to represent the friction associated with effective sea ice surface roughness at the ice-atmosphere and ice-ocean interfaces. The variable drag coefficient is estimated from properties of the sea ice cover such as the ice concentration, the vertical extent and area of the ridges, the freeboard, the floe draft, the size of floes and melt ponds. The new features of the assimilated model include tracers to estimate ridged ice, level ice, melt ponds, freeboard, sail height and keel depth. The estimates of ice concentration from the assimilated models are then compared with the ice concentration product from the Canadian Ice Service. The results show that the updates provided to the tracers through the assimilation of sea ice products are reasonable and the model estimates of ice concentration from the assimilated models are better than the non-assimilated model estimates. Finally, the estimates of updated sea ice parameters such as ridged ice area, volume and ice thickness are compared with the estimates from non-assimilated models and the literature to verify the results.

中文翻译:

使用具有可变阻力公式的同化海冰模型估计海冰参数

摘要 在这项工作中,使用洛斯阿拉莫斯海冰模型 CICE 的独立区域配置估计了巴芬湾、哈德逊湾、拉布拉多海和圣劳伦斯湾地区的海冰浓度。对影响预测的海冰形成/消融的混合层深度标准进行了敏感性分析,以调整模型。然后使用组合优化插值方法将来自 AMSR2 OSISAF 的海冰浓度、来自 SSMIS/ASCAT OSISAF 的海冰边缘以及来自 OISST AVHRR-only 产品的海面温度同化到调谐模型中。扩展先前的研究,这些研究在其同化方案中使用恒定阻力公式,我们使用可变阻力公式来表示与冰-大气和冰-海洋界面处的有效海冰表面粗糙度相关的摩擦。可变阻力系数是根据海冰覆盖的特性估算的,例如冰浓度、海脊的垂直范围和面积、干舷、浮冰吃水、浮冰和融化池的大小。同化模型的新功能包括用于估计脊冰、水平冰、融化池、干舷、帆高度和龙骨深度的示踪剂。然后将来自同化模型的冰浓度估计值与来自加拿大冰雪服务局的冰浓度产品进行比较。结果表明,通过海冰产品同化提供给示踪剂的更新是合理的,同化模型对冰浓度的模型估计优于非同化模型估计。最后,将更新后的海冰参数(如脊冰面积、体积和冰厚度)的估计值与非同化模型和文献的估计值进行比较,以验证结果。
更新日期:2021-02-01
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