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Number of items: 5.

Peer-reviewed, Web of Science / Scopus

Article
Liang, X. , Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244, Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025, Yang, Q. and Liu, C. (2019)
Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System ,
Journal of Geophysical Research-Oceans, 124 (7), pp. 4727-4743 .
doi:10.1029/2019JC015073 , hdl:10013/epic.daa1133d-ee4b-4ecd-baa9-85c62d3f3d8e
[thumbnail of Liang_etal_JGROceans140_4727_2019.pdf]
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Article
Liang, X. and Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244 (2018)
On the Effects of Increased Vertical Mixing on the Arctic Ocean and Sea Ice ,
Journal of Geophysical Research: Oceans, 123 (12), pp. 9266-9282 .
doi:10.1029/2018JC014303 , hdl:10013/epic.adec38c1-b920-48c0-ae49-29ce387bdec8
[thumbnail of liang_diffusivity.pdf]
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Article
Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025, Yang, Q. , Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244, Losa, S. N. ORCID: https://orcid.org/0000-0003-2153-1954, Ricker, R. ORCID: https://orcid.org/0000-0001-6928-7757, Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 and Liang, X. (2018)
Improving sea ice thickness estimates by assimilating CryoSat-2 and SMOS sea ice thickness data simultaneously ,
Quarterly Journal of the Royal Meteorological Society .
doi:10.1002/qj.3225 , hdl:10013/epic.cf8e4daf-b6ff-48f0-881c-98531413857a

Article
Liang, X. , Yang, Q. , Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Losa, S. N. ORCID: https://orcid.org/0000-0003-2153-1954, Zhao, B. , Zheng, F. , Zhang, L. and Wu, L. (2017)
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter ,
Journal of Atmospheric and Oceanic Technology, 34 (9), pp. 1985-1999 .
doi:10.1175/JTECH-D-16-0166.1 , hdl:10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3
[thumbnail of Liang_etal_JTECH34_1985_2017.pdf]
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Not peer-reviewed

Conference -Poster
Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Kirchgessner, P. and Liang, X. (2019)
Efficient Ensemble-Based Data Assimilation for High-Dimensional Models with the Parallel Data Assimilation Framework PDAF ,
GODAE OceanView Symposium 2019 - OceanPredict '19, May 6-10, 2019, Halifax, Canada .
hdl:10013/epic.ce22131b-cc77-42d9-a186-22ab393f6c20
[thumbnail of poster_PDAF.pdf]
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