Number of items: 21.
2021
Leung, T. Y.
ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G.
ORCID: https://orcid.org/0000-0002-6631-9968
(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
2020
Leung, T. Y.
ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G.
ORCID: https://orcid.org/0000-0002-6631-9968
(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
2019
Leung, T. Y.
ORCID: https://orcid.org/0000-0003-0056-284X, Leutbecher, M., Reich, S. and Shepherd, T. G.
ORCID: https://orcid.org/0000-0002-6631-9968
(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)
2018
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
2017
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
2016
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
2015
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
2014
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
2013
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
2012
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
2011
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
2008
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
This list was generated on Sat Aug 31 23:29:31 2024 UTC.