-
1
-
-
84888157885
-
An exploration of the equivalent weights particle filter
-
Ades, M., and P. van Leeuwen, 2013: An exploration of the equivalent weights particle filter. Quart. J. Roy. Meteor. Soc., 139, 820-840, doi:10.1002/qj.1995.
-
(2013)
Quart. J. Roy. Meteor. Soc
, vol.139
, pp. 820-840
-
-
Ades, M.1
van Leeuwen, P.2
-
2
-
-
34247642674
-
An adaptive covariance inflation error correction algorithm for ensemble filters
-
Anderson, J., 2007: An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus, 59A, 210-224, doi:10.1111/j.1600-0870.2006.00216.x.
-
(2007)
Tellus
, vol.59 A
, pp. 210-224
-
-
Anderson, J.1
-
3
-
-
0033500692
-
A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
-
Anderson, J., and S. Anderson, 1999: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon. Wea. Rev., 127, 2741-2758, doi:10.1175/1520-0493(1999)127<2741:AMCIOT>.2.0.CO;2.
-
(1999)
Mon. Wea. Rev
, vol.127
, pp. 2741-2758
-
-
Anderson, J.1
Anderson, S.2
-
4
-
-
84879011810
-
The impact of nonlinearity in Lagrangian data assimilation
-
Apte, A., and C. Jones, 2013: The impact of nonlinearity in Lagrangian data assimilation. Nonlinear Processes Geophys., 20, 329-341, doi:10.5194/npg-20-329-2013.
-
(2013)
Nonlinear Processes Geophys
, vol.20
, pp. 329-341
-
-
Apte, A.1
Jones, C.2
-
5
-
-
39049138716
-
A Bayesian approach to Lagrangian data assimilation
-
Apte, A., and C. Jones, and A. Stuart, 2008: A Bayesian approach to Lagrangian data assimilation. Tellus, 60A, 336-347, doi:10.1111/ j.1600-0870.2007.00295.x.
-
(2008)
Tellus
, vol.60 A
, pp. 336-347
-
-
Apte, A.1
Jones, C.2
Stuart, A.3
-
6
-
-
1642360010
-
Toward a nonlinear ensemble filter for high-dimensional systems
-
Bengtsson, T., C. Snyder, and D. Nychka, 2003: Toward a nonlinear ensemble filter for high-dimensional systems. J. Geophys. Res., 108, 8775, doi:10.1029/2002JD002900.
-
(2003)
J. Geophys. Res
, vol.108
, pp. 8775
-
-
Bengtsson, T.1
Snyder, C.2
Nychka, D.3
-
7
-
-
57949085983
-
Curse of dimensionality revisted: Collapse of the particle filter in very large scale systems
-
D. Nolan and T. Speed, Eds., Institute of Mathematical Statistics
-
Bengtsson, T., P. Bickel, and B. Li, 2008: Curse of dimensionality revisted: Collapse of the particle filter in very large scale systems. Probability and Statistics: Essays in Honor of David A. Freedman, Vol. 2, D. Nolan and T. Speed, Eds., Institute of Mathematical Statistics, 316-334.
-
(2008)
Probability and Statistics: Essays in Honor of David A. Freedman
, vol.2
, pp. 316-334
-
-
Bengtsson, T.1
Bickel, P.2
Li, B.3
-
8
-
-
64149128340
-
Sharp failure rates for the bootstrap particle filter in high dimensions
-
B. Clarke and S. Ghosal, Eds., Institute of Mathematical Statistics
-
Bickel, P., B. Li, and T. Bengtsson, 2008: Sharp failure rates for the bootstrap particle filter in high dimensions. Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh, Vol. 3, B. Clarke and S. Ghosal, Eds., Institute of Mathematical Statistics, 318-329.
-
(2008)
Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
, vol.3
, pp. 318-329
-
-
Bickel, P.1
Li, B.2
Bengtsson, T.3
-
9
-
-
0032439201
-
Analysis scheme in the ensemble Kalman filter
-
Burgers, G., P. van Leeuwen, andG.Evensen, 1998:Analysis scheme in the ensemble Kalman filter.Mon.Wea. Rev., 126, 1719-1724, doi:10.1175/1520-0493(1998)126<1719:ASITEK>.2.0.CO;2.
-
(1998)
Mon.Wea. Rev
, vol.126
, pp. 1719-1724
-
-
Burgers, G.1
van Leeuwen, P.2
Evensen, G.3
-
10
-
-
0002165558
-
Rao-Blackwellised particle filtering for dynamic Bayesian networks
-
San Francisco, CA, Association for Computing Machinery
-
Doucet, A., N. de Freitas, K. Murphy, and S. Russell, 2000a: Rao-Blackwellised particle filtering for dynamic Bayesian networks. Proc. 16th Conf. on Uncertainty in Artificial Intelligence, San Francisco, CA, Association for Computing Machinery, 176-183. [Available online at http://dl.acm.org/ citation.cfm?id52073946.2073968.]
-
(2000)
Proc. 16th Conf. on Uncertainty in Artificial Intelligence
, pp. 176-183
-
-
Doucet, A.1
de Freitas, N.2
Murphy, K.3
Russell, S.4
-
11
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
Doucet, A., S. Godsill, and C. Andrieu, 2000b: On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput., 10, 197-208, doi:10.1023/A:1008935410038.
-
(2000)
Stat. Comput
, vol.10
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
12
-
-
36048972344
-
Bayesian statistical data assimilation for ecosystem models using Markov chain Monte-Carlo
-
Dowd, M., 2007: Bayesian statistical data assimilation for ecosystem models using Markov chain Monte-Carlo. J. Mar. Syst., 68, 439-456, doi:10.1016/j.jmarsys.2007.01.007.
-
(2007)
J. Mar. Syst
, vol.68
, pp. 439-456
-
-
Dowd, M.1
-
13
-
-
0028193070
-
Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
-
Evensen, G., 1994: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99, 10 143-10 162, doi:10.1029/94JC00572.
-
(1994)
J. Geophys. Res
, vol.99
, pp. 10143-10162
-
-
Evensen, G.1
-
14
-
-
84884550570
-
The ensemble Kalman filter: Theoretical formulation and practical implementation
-
Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367, doi:10.1007/s10236-003-0036-9.
-
(2003)
Ocean Dyn
, vol.53
, pp. 343-367
-
-
Evensen, G.1
-
15
-
-
84864913159
-
Sequential state and observation noise covariance estimation using combined ensemble Kalman and particle filters
-
Frei, M., and H. Künsch, 2012: Sequential state and observation noise covariance estimation using combined ensemble Kalman and particle filters. Mon. Wea. Rev., 140, 1476-1495, doi:10.1175/MWR-D-10-05088.1.
-
(2012)
Mon. Wea. Rev
, vol.140
, pp. 1476-1495
-
-
Frei, M.1
Künsch, H.2
-
16
-
-
84890381681
-
Bridging the ensemble Kalman and particle filters
-
Frei, M., and H. Künsch, 2013a: Bridging the ensemble Kalman and particle filters. Biometrika, 100, 781-800, doi:10.1093/biomet/ast020.
-
(2013)
Biometrika
, vol.100
, pp. 781-800
-
-
Frei, M.1
Künsch, H.2
-
17
-
-
84869082502
-
Mixture ensemble Kalman filters
-
Frei, M., and H. Künsch, 2013b: Mixture ensemble Kalman filters. Comput. Stat. Data Anal., 58, 127-148, doi:10.1016/j.csda.2011.04.013.
-
(2013)
Comput. Stat. Data Anal
, vol.58
, pp. 127-148
-
-
Frei, M.1
Künsch, H.2
-
18
-
-
33750502680
-
Estimation of highdimensional prior and posterior covariance matrices in Kalman filter variants
-
Furrer, R., and T. Bengtsson, 2007: Estimation of highdimensional prior and posterior covariance matrices in Kalman filter variants. J. Multivariate Anal., 98, 227-255, doi:10.1016/j.jmva.2006.08.003.
-
(2007)
J. Multivariate Anal
, vol.98
, pp. 227-255
-
-
Furrer, R.1
Bengtsson, T.2
-
19
-
-
0027580559
-
Novel approach to nonlinear-non-Gaussian Bayesian state estimation
-
Gordon, N., D. Salmond, and A. Smith, 1993: Novel approach to nonlinear-non-Gaussian Bayesian state estimation. IEE Proc. F, 140, 107-113, doi:10.1049/ip-f-2.1993.0015.
-
(1993)
IEE Proc. F
, vol.140
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.3
-
20
-
-
0033792589
-
A hybrid ensemble Kalman filter-3D variational analysis scheme
-
Hamill, T. M., and C. Snyder, 2000: A hybrid ensemble Kalman filter-3D variational analysis scheme. Mon. Wea. Rev., 128, 2905-2919, doi:10.1175/1520-0493(2000)128<2905: AHEKFV>2.0.CO;2.
-
(2000)
Mon. Wea. Rev
, vol.128
, pp. 2905-2919
-
-
Hamill, T.M.1
Snyder, C.2
-
21
-
-
0035506430
-
Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
-
Hamill, T. M., J. S.Whitaker, and C. Snyder, 2001: Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev., 129, 2776-2790, doi:10.1175/1520-0493(2001)129<2776: DDFOBE>2.0.CO;2.
-
(2001)
Mon. Wea. Rev
, vol.129
, pp. 2776-2790
-
-
Hamill, T.M.1
Whitaker, J.S.2
Snyder, C.3
-
22
-
-
0032024819
-
Data assimilation using an ensemble Kalman filter technique
-
Houtekamer, P. L., and H. L. Mitchell, 1998: Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev., 126, 796-811, doi:10.1175/1520-0493(1998)126<0796: DAUAEK>2.0.CO;2.
-
(1998)
Mon. Wea. Rev
, vol.126
, pp. 796-811
-
-
Houtekamer, P.L.1
Mitchell, H.L.2
-
23
-
-
0035129828
-
A sequential ensemble Kalman filter for atmospheric data assimilation
-
Houtekamer, P. L., and H. L. Mitchell, 2001: A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev., 129, 123-137, doi:10.1175/1520-0493(2001)129<0123:ASEKFF>.2.0.CO;2.
-
(2001)
Mon. Wea. Rev
, vol.129
, pp. 123-137
-
-
Houtekamer, P.L.1
Mitchell, H.L.2
-
24
-
-
34248675795
-
Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
-
Hunt, B., E. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230, 112-126, doi:10.1016/ j.physd.2006.11.008.
-
(2007)
Physica D
, vol.230
, pp. 112-126
-
-
Hunt, B.1
Kostelich, E.2
Szunyogh, I.3
-
25
-
-
34248656285
-
Lagrangian data assimilation for point vortex systems
-
Ide, K., L. Kuznetsov, and C. Jones, 2002: Lagrangian data assimilation for point vortex systems. J. Turbul., 3, doi:10.1088/ 1468-5248/3/1/053.
-
(2002)
J. Turbul
, vol.3
-
-
Ide, K.1
Kuznetsov, L.2
Jones, C.3
-
26
-
-
84950943564
-
Sequential imputations and Bayesian missing data problems
-
Kong, A., J. Liu, and W. Wong, 1994: Sequential imputations and Bayesian missing data problems. J. Amer. Stat. Assoc., 89, 278- 288, doi:10.1080/01621459.1994.10476469.
-
(1994)
J. Amer. Stat. Assoc
, vol.89
, pp. 278-288
-
-
Kong, A.1
Liu, J.2
Wong, W.3
-
27
-
-
0242583139
-
A method for assimilation of Lagrangian data
-
Kuznetsov, L., K. Ide, and C. Jones, 2003: A method for assimilation of Lagrangian data. Mon. Wea. Rev., 131, 2247-2260, doi:10.1175/1520-0493(2003)131<2247:AMFAOL>.2.0.CO;2.
-
(2003)
Mon. Wea. Rev
, vol.131
, pp. 2247-2260
-
-
Kuznetsov, L.1
Ide, K.2
Jones, C.3
-
28
-
-
4444303259
-
Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth
-
Lawson, W., and J. Hansen, 2004: Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth. Mon.Wea. Rev., 132, 1966-1981, doi:10.1175/1520-0493(2004)132<1966:IOSADF>.2.0.CO;2.
-
(2004)
Mon. Wea. Rev
, vol.132
, pp. 1966-1981
-
-
Lawson, W.1
Hansen, J.2
-
29
-
-
84860717050
-
On the convergence of the ensemble Kalman filter
-
Mandel, J., L. Cobb, and J. Beezley, 2011: On the convergence of the ensemble Kalman filter. Appl. Math., 56, 533-541, doi:10.1007/s10492-011-0031-2.
-
(2011)
Appl. Math
, vol.56
, pp. 533-541
-
-
Mandel, J.1
Cobb, L.2
Beezley, J.3
-
30
-
-
0036638414
-
Lagrangian Analysis and Predictability of Coastal and Ocean Dynamics 2000
-
Mariano, A., A. Griffa, T. özgökmen, and E. Zambianchi, 2002: Lagrangian Analysis and Predictability of Coastal and Ocean Dynamics 2000. J. Atmos. Oceanic Technol., 19, 1114-1126, doi:10.1175/1520-0426(2002)019<1114:LAAPOC>.2.0.CO;2.
-
(2002)
J. Atmos. Oceanic Technol
, vol.19
, pp. 1114-1126
-
-
Mariano, A.1
Griffa, A.2
Özgökmen, T.3
Zambianchi, E.4
-
31
-
-
0142092299
-
Assimilation of drifter observations for the reconstruction of the Eulerian circulation field
-
Molcard, A., L. I. Piterbarg, A. Griffa, T. özgökmen, and A. J. Mariano, 2003: Assimilation of drifter observations for the reconstruction of the Eulerian circulation field. J. Geophys. Res., 108, 3056, doi:10.1029/2001JC001240.
-
(2003)
J. Geophys. Res
, vol.108
, pp. 3056
-
-
Molcard, A.1
Piterbarg, L.I.2
Griffa, A.3
Özgökmen, T.4
Mariano, A.J.5
-
32
-
-
84855206730
-
A random map implementation of implicit filters
-
Morzfeld, M., X. Tu, E. Atkins, and A. J. Chorin, 2012: A random map implementation of implicit filters. J. Comput. Phys., 231, 2049-2066, doi:10.1016/j.jcp.2011.11.022.
-
(2012)
J. Comput. Phys
, vol.231
, pp. 2049-2066
-
-
Morzfeld, M.1
Tu, X.2
Atkins, E.3
Chorin, A.J.4
-
33
-
-
77957125283
-
Data assimilation with the weighted ensemble Kalman filter
-
Papadakis, N., E.Mémin,A. Cuzol, and N. Gengembre, 2010: Data assimilation with the weighted ensemble Kalman filter. Tellus, 62A, 673-697, doi:10.1111/j.1600-0870.2010.00461.x.
-
(2010)
Tellus
, vol.62 A
, pp. 673-697
-
-
Papadakis, N.1
Mémin, E.2
Cuzol, A.3
Gengembre, N.4
-
35
-
-
57349172247
-
A hybrid grid/particle filter for Lagrangian data assimilation. I: Formulating the passive scalar approximation
-
Salman, H., 2008a: A hybrid grid/particle filter for Lagrangian data assimilation. I: Formulating the passive scalar approximation. Quart. J. Roy. Meteor. Soc., 134, 1539-1550, doi:10.1002/qj.270.
-
(2008)
Quart. J. Roy. Meteor. Soc
, vol.134
, pp. 1539-1550
-
-
Salman, H.1
-
36
-
-
57349179196
-
A hybrid grid/particle filter for Lagrangian data assimilation. II: Application to a model vortex flow
-
Salman, H., 2008b: A hybrid grid/particle filter for Lagrangian data assimilation. II: Application to a model vortex flow. Quart. J. Roy. Meteor. Soc., 134B, 1551-1565, doi:10.1002/qj.279.
-
(2008)
Quart. J. Roy. Meteor. Soc
, vol.134 B
, pp. 1551-1565
-
-
Salman, H.1
-
37
-
-
33646460771
-
A method for assimilating Lagrangian data into a shallow-water-equation ocean model
-
Salman, H., L. Kuznetsov, C. Jones, and K. Ide, 2006: A method for assimilating Lagrangian data into a shallow-water-equation ocean model. Mon. Wea. Rev., 134, 1081-1100, doi:10.1175/MWR3104.1.
-
(2006)
Mon. Wea. Rev
, vol.134
, pp. 1081-1100
-
-
Salman, H.1
Kuznetsov, L.2
Jones, C.3
Ide, K.4
-
38
-
-
64149083162
-
Obstacles to high-dimensional particle filtering
-
Snyder, C., T. Bengtsson, P. Bickel, and J. Anderson, 2008: Obstacles to high-dimensional particle filtering. Mon. Wea. Rev., 136, 4629-4640, doi:10.1175/2008MWR2529.1.
-
(2008)
Mon. Wea. Rev
, vol.136
, pp. 4629-4640
-
-
Snyder, C.1
Bengtsson, T.2
Bickel, P.3
Anderson, J.4
-
39
-
-
44649179254
-
Modified particle filter methods for assimilating Lagrangian data into a point-vortex model
-
Spiller, E., A. Budhiraja, K. Ide, and C. Jones, 2008: Modified particle filter methods for assimilating Lagrangian data into a point-vortex model. PhysicaD, 237, 1498-1506, doi:10.1016/j.physd.2008.03.023.
-
(2008)
PhysicaD
, vol.237
, pp. 1498-1506
-
-
Spiller, E.1
Budhiraja, A.2
Ide, K.3
Jones, C.4
-
40
-
-
74949130817
-
Particle filtering in geophysical systems
-
van Leeuwen, P., 2009: Particle filtering in geophysical systems. Mon. Wea. Rev., 137, 4089-4114, doi:10.1175/2009MWR2835.1.
-
(2009)
Mon. Wea. Rev
, vol.137
, pp. 4089-4114
-
-
van Leeuwen, P.1
-
41
-
-
78649753946
-
Capturing eddy shedding in the Gulf of Mexico from Lagrangian observations
-
Vernieres, G., C. Jones, and K. Ide, 2011: Capturing eddy shedding in the Gulf of Mexico from Lagrangian observations. Physica D, 240, 166-179, doi:10.1016/j.physd.2010.06.008.
-
(2011)
Physica D
, vol.240
, pp. 166-179
-
-
Vernieres, G.1
Jones, C.2
Ide, K.3
-
42
-
-
33746082838
-
A note on the particle filter with posterior Gaussian resampling
-
Xiong, X., I. Navon, and B. Uzunoglu, 2006: A note on the particle filter with posterior Gaussian resampling. Tellus, 58A, 456- 460, doi:10.1111/j.1600-0870.2006.00185.x.
-
(2006)
Tellus
, vol.58 A
, pp. 456-460
-
-
Xiong, X.1
Navon, I.2
Uzunoglu, B.3
|