Leung, T. Y. ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G. (2021) Forecast verification: relating deterministic and probabilistic metrics. Quarterly Journal of the Royal Meteorological Society, 147 (739). pp. 3124-3134. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4120

Leung, T. Y. ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G. (2020) Impact of the mesoscale range on error growth and the limits to atmospheric predictability. Journal of the Atmospheric Sciences, 77 (11). pp. 3769-3779. ISSN 1520-0469 doi: https://doi.org/10.1175/JAS-D-19-0346.1

Leung, T. Y. ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G. (2019) Atmospheric predictability: revisiting the inherent finite-time barrier. Journal of the Atmospheric Sciences, 76 (12). pp. 3883-3892. ISSN 1520-0469 doi: https://doi.org/10.1175/JAS-D-19-0057.1

Reich, S. (2019) Data assimilation: the Schrödinger perspective. Acta Numerica, 28. pp. 635-711. ISSN 0962-4929 doi: https://doi.org/10.1017/S0962492919000011

Asgarimehr, M., Zavorotny, V., Zhelavskaya, I., Foti, G., Wickert, J. and Reich, S. (2019) Evolving ocean monitoring with GNSS-R: promises in surface wind speed and prospects for rain detection. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 28 JUL- 2 AUG 2019, Yokohoma, Japan, pp. 8692-8695. doi: https://doi.org/10.1109/IGARSS.2019.8900414 (Proceedings of IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium)

Taghvaei, A., de Wiljes, J., Mehta, P. and Reich, S. (2018) Kalman filter and its modern extensions for the continuous-time nonlinear filtering problem. Journal of Dynamic Systems, Measurement, and Control, 140 (3). 030904. ISSN 0022-0434 doi: https://doi.org/10.1115/1.4037780

de Wiljes, J., Reich, S. and Stannat, W. (2018) Long-time stability and accuracy of the ensemble Kalman--Bucy filter for fully observed processes and small measurement noise. SIAM Journal on Applied Dynamical Systems, 17 (2). pp. 1152-1181. ISSN 1536-0040 doi: https://doi.org/10.1137/17M1119056

Acevedo, W., de Wiljes, J. and Reich, S. (2017) Second-order accurate ensemble transform particle filters. SIAM Journal on Scientific Computing, 39 (5). A1834-A1850. ISSN 1095-7197 doi: https://doi.org/10.1137/16M1095184

Chustagulprom, N., Reich, S. and Reinhardt, M. (2016) A hybrid ensemble transform particle filter for nonlinear and spatially extended dynamical systems. SIAM/ASA Journal on Uncertainty Quantification, 4 (1). pp. 592-608. ISSN 2166-2525 doi: https://doi.org/10.1137/15M1040967

Acevedo, W., Reich, S. and Cubasch, U. (2016) Towards the assimilation of tree-ring-width records using ensemble Kalman filtering techniques. Climate Dynamics, 46 (5-6). pp. 1909-1920. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-015-2683-1

Gregory, A., Cotter, C. J. and Reich, S. (2016) Multilevel ensemble transform particle filtering. SIAM Journal on Scientific Computing, 38 (3). A1317-A1338. ISSN 1064-8275 doi: https://doi.org/10.1137/15M1038232

Aizinger, V., Korn, P., Giorgetta, M. and Reich, S. (2015) Large-scale turbulence modelling via α-regularisation for atmospheric simulations. Journal of Turbulence, 16 (4). pp. 367-391. ISSN 1468-5248 doi: https://doi.org/10.1080/14685248.2014.991443

Escribano, B., Akhmatskaya, E., Reich, S. and Azpiroz, J. M. (2015) Multiple-time-stepping generalized hybrid Monte Carlo methods. Journal of Computational Physics, 280. pp. 1-20. ISSN 0021-9991 doi: https://doi.org/10.1016/j.jcp.2014.08.052

Van Leeuwen, P. J., Cheng, Y. and Reich, S. (2015) Nonlinear data assimilation. Frontiers in Applied Dynamical Systems: Reviews and Tutorials, 2. Springer. ISBN 9783319183466

Grewe, V., Brinkop, S., Joeckel, P., Shin, S., Reich, S. and Yserentant, H. (2014) On the theory of mass conserving transformations for Lagrangian methods in 3D atmosphere-chemistry models. Meteorologische Zeitschrift, 23 (4). pp. 441-447. ISSN 0941-2948 doi: https://doi.org/10.1127/0941-2948/2014/0552

Reich, S. and Shin, S. (2014) On the consistency of ensemble transform filter formulations. Journal of Computational Dynamics, 1 (1). pp. 177-189. ISSN 2158-2491 doi: https://doi.org/10.3934/jcd.2014.1.177

Amezcua, J., Ide, K., Kalnay, E. and Reich, S. (2013) Ensemble transform Kalman-Bucy filters. Quarterly Journal of the Royal Meteorological Society, 140 (680). pp. 995-1004. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2186

Reich, S. (2013) A nonparametric ensemble transform method for Bayesian inference. SIAM Journal on Scientific Computing, 35 (4). A2013-A2024. ISSN 1095-7197 doi: https://doi.org/10.1137/130907367

Reich, S. (2012) A Gaussian-mixture ensemble transform filter. Quarterly Journal of the Royal Meteorological Society, 138 (662). pp. 222-233. ISSN 1477-870X doi: https://doi.org/10.1002/qj.898

Reich, S. (2011) A dynamical systems framework for intermittent data assimilation. BIT Numerical Mathematics, 51 (1). pp. 235-249. ISSN 1572-9125 doi: https://doi.org/10.1007/s10543-010-0302-4

Akhmatskaya, E. and Reich, S. (2008) GSHMC: an efficient method for molecular simulation. Journal of Computational Physics, 227 (10). pp. 4934-4954. ISSN 0021-9991 doi: https://doi.org/10.1016/j.jcp.2008.01.023