Bocquet, M. ORCID: https://orcid.org/0000-0003-2675-0347, Farchi, A. ORCID: https://orcid.org/0000-0002-4162-8289, Finn, T. S. ORCID: https://orcid.org/0000-0001-9585-8349, Durand, C. ORCID: https://orcid.org/0000-0001-5588-549X, Cheng, S. ORCID: https://orcid.org/0000-0002-8707-2589, Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Pasmans, I. ORCID: https://orcid.org/0000-0001-5076-5421 and Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 (2024) Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble. Chaos: An Interdisciplinary Journal of Nonlinear Science, 34 (9). 091104. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0230837

Pasmans, I. ORCID: https://orcid.org/0000-0001-5076-5421, Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Jones, C. K. R. T. (2024) Tailoring data assimilation to discontinuous Galerkin models. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009 doi: https://doi.org/10.1002/qj.4737

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Smith, P. ORCID: https://orcid.org/0000-0003-4570-4127, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Pasmans, I. ORCID: https://orcid.org/0000-0001-5076-5421, Bertino, L., Bocquet, M., Sebastian Finn, T., Rampal, P. and Dansereau, V. (2024) Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology. The Cryosphere, 18 (5). pp. 2381-2406. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-18-2381-2024

Raanes, P. N., Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937 and Grudzien, C. (2024) DAPPER: Data Assimilation with Python: a Package for Experimental Research. Journal of Open Source Software, 9 (94). 5150. ISSN 2475-9066 doi: https://doi.org/10.21105/joss.05150

Ma, Q., Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937 and Ionita, M. (2024) European summer wet-bulb temperature: spatiotemporal variations and potential drivers. Journal of Climate. ISSN 1520-0442 doi: https://doi.org/10.1175/jcli-d-23-0420.1 (In Press)

Finn, T. S., Durand, C., Farchi, A., Bocquet, M., Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Dansereau, V. (2023) Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology. The Cryosphere, 17 (7). pp. 2965-2991. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-17-2965-2023

Dong, B., Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297, Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 and Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374 (2023) Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses. Geoscientific Model Development, 16. pp. 4233-4247. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-16-4233-2023

Cheng, S., Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Aydoğdu, A., Bertino, L., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Rampal, P. and Jones, C. K. R. T. (2023) Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020. The Cryosphere, 17 (4). pp. 1735-1754. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-17-1735-2023

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Inferring the instability of a dynamical system from the skill of data assimilation exercises. Nonlinear Processes in Geophysics, 28 (4). pp. 633-649. ISSN 1023-5809 doi: https://doi.org/10.5194/npg-28-633-2021

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Simon, K. and Behrens, J. (2021) Extending legacy climate models by adaptive mesh refinement for single-component tracer transport: a case study with ECHAM6-HAMMOZ (ECHAM6.3-HAM2.3-MOZ1.0). Geoscientific Model Development, 14 (5). pp. 2289-2316. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-14-2289-2021