1. Min, C., Yang, Q., Chen, D., Yang, Y., Zhou, X., Shu, Q., & Liu, J. (2022). The emerging Arctic shipping corridors. Geophysical Research Letters, 49, e2022GL099157. https://doi.org/10.1029/2022GL099157
2.Luo, H., Yang, Q., Mu, L., Tian-Kunze, X., Nerger, L., Mazloff, M., . . . Chen, D. (2021). DASSO: A data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations. Journal of Glaciology, 67(266), 1235-1240. doi:10.1017/jog.2021.57
3.Mu, L., Liang, X., Yang, Q.*, Liu, J., Zheng, F., Arctic Ice Ocean Prediction System (ArcIOPS): An evaluation of sea ice forecasts during Xuelong’s first transit through the Central Arctic, Journal of Glaciology, 2019, doi.org/10.1017/jog.2019.55.
4.Yang, Q. , Mu, L. , Wu, X. , Liu, J. , Zheng, F. , & Zhang, J. , et al. (2019). Improving arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model. Atmospheric Research, 227(OCT.), 14-23.
5.Mu, L., Losch, M., Yang, Q.*, Ricker, R., Losa, S., Nerger, L., Arctic-wide sea-ice thickness estimates from combining satellite remote sensing data and a dynamic ice-ocean model with data assimilation during the CryoSat-2 period, Journal of Geophysical Research–Oceans, 2018, doi:10.1029/2018JC014316.