Items where Author is "Reich, Professor Sebastian"Group by: Item Type | No Grouping Number of items: 21. Article
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 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 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 Conference or Workshop ItemAsgarimehr, 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) BookVan Leeuwen, P. J., Cheng, Y. and Reich, S. (2015) Nonlinear data assimilation. Frontiers in Applied Dynamical Systems: Reviews and Tutorials, 2. Springer. ISBN 9783319183466 |