Potential Predictability of Arctic sea-ice linear kinematic features in high-resolution ensemble simulation

• Main Authors: Mohammadi-Aragh, Mahdi, Losch, Martin, Goessling, Helge, Hutter, Nils, Jung, Thomas
• Format: Conference Object
• Language: unknown
• Published: 2016
• Subjects: Arctic; Sea ice
• Online Access: https://epic.awi.de/id/eprint/42207/; https://epic.awi.de/id/eprint/42207/1/FAMOS_Mahdi_MohammadiAragh_A-07.pdf; http://web.whoi.edu/famos/wp-content/uploads/sites/18/2016/11/5th-FAMOS-2-Final-POSTER.pdf; https://hdl.handle.net/10013/epic.48940; https://hdl.handle.net/10013/epic.48940.d001

Linear kinematic features (LKFs) in sea ice, potentially important for short-term forecasts and for climate simulations, emerge as viscous-plastic sea ice models are used at high resolution (~ 4.5 km). Here we analyze the short-range (up to 10 days) potential predictability of LKFs in Arctic sea ice...