Items where Author is "Reich, Professor Sebastian"Group by: Item Type | No Grouping Number of items: 21.
Leung, T. Y.
Leung, T. Y.
Leung, T. Y. Reich, S. (2019) Data assimilation: the Schrödinger perspective. Acta Numerica, 28. pp. 635-711. ISSN 0962-4929 doi: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 10.1016/j.jcp.2008.01.023 |