Improving daily-to-seasonal sea ice forecasts of the AWI coupled prediction system with sea-ice and ocean data assimilation and atmospheric large-scale wind nudging.

• Main Authors: Loza, Svetlana, Athanase, Marylou, Mu, Longjiang, Streffing, Jan, Sánchez-Benítez, Antonio, Andrés-Martínez, Miguel, Nerger, Lars, Semmler, Tido, Sidorenko, Dmitry, Goessling, Helge
• Format: Other/Unknown Material
• Language: unknown
• Published: Copernicus Publications 2024
• Subjects: Arctic; Benítez; Martínez; Sea ice
• Online Access: https://epic.awi.de/id/eprint/58837/; https://epic.awi.de/id/eprint/58837/1/AWI-CPS_Poster_EGU24_fv.pdf; https://doi.org/10.5194/egusphere-egu24-18260; https://hdl.handle.net/10013/epic.e72717ed-c4cd-4033-9bac-ad3dd166ffee

Predictive skills of coupled sea-ice/ocean and atmosphere models are limited by the chaotic nature of the atmosphere. Assimilation of observational information on ocean hydrography and sea ice allows to obtain a coupled-system state that provides a basis for subseasonal-to-seasonal ocean and sea-ice...