Sukun Cheng et al. have published a new paper paper related to their work in SASIP-WP4:

Novel Arctic sea ice data assimilation combining ensemble Kalman filter with a Lagrangian sea ice model, EGUsphere.

Cheng, S., Chen, Y., Aydoğdu, A., Bertino, L., Carrassi, A., Rampal, P., and Jones, C. K. R. T.

https://doi.org/10.5194/egusphere-2022-627.

Fig.1 (from Cheng et al 2023): Flow chart of the ensemble-DA platform. DEnKF: analysis step; neXtSIM: model forecast step; OSI-SAF SIC/CS2SMOS SIT observation: assimilated observations; TOPAZ forecasts and ECMWF forecasts: upstream forcing data for neXtSIM; Field perturbations: see Section 4.1; Fixed Reference Mesh: forecast and analysis state variables are exchanged on a pre-defined regular static grid.