-
1
-
-
0033500692
-
A Monte Carlo implementation of the non-linear filtering problem to produce ensemble assimilations and forecasts
-
Anderson JL, Anderson SL. 1999. AMonte Carlo implementation of the non-linear filtering problem to produce ensemble assimilations and forecasts. Mon. Weather Rev. 127: 2741-2758.
-
(1999)
Mon. Weather Rev.
, vol.127
, pp. 2741-2758
-
-
Anderson, J.L.1
Anderson, S.L.2
-
2
-
-
34247642674
-
An adaptive covariance inflation error correction algorithm for ensemble filters
-
Anderson JL. 2007. An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus 59A: 210-224.
-
(2007)
Tellus
, vol.59 A
, pp. 210-224
-
-
Anderson, J.L.1
-
3
-
-
58049084742
-
Spatially and temporally varying adaptive covariance inflation for ensemble filters
-
Anderson JL. 2009. Spatially and temporally varying adaptive covariance inflation for ensemble filters. Tellus 61A: 72-83.
-
(2009)
Tellus
, vol.61 A
, pp. 72-83
-
-
Anderson, J.L.1
-
4
-
-
80052424422
-
Evolutionary algorithm-based error parameterization methods for data assimilation
-
Bai YL, Li X. 2011. Evolutionary algorithm-based error parameterization methods for data assimilation. Mon. Weather Rev. 139: 2668-2685.
-
(2011)
Mon. Weather Rev.
, vol.139
, pp. 2668-2685
-
-
Bai, Y.L.1
Li, X.2
-
6
-
-
85019304409
-
Numerical Methods for Ordinary Differential Equations
-
John Wiley & Sons: Chichester
-
Butcher JC. 2003. Numerical Methods for Ordinary Differential Equations. John Wiley & Sons: Chichester; 425 pp.
-
(2003)
, pp. 425
-
-
Butcher, J.C.1
-
8
-
-
0000991256
-
On-line estimation of error covariance parameters for atmospheric data assimilation
-
Dee DP. 1995. On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Weather Rev. 123: 1128-1145.
-
(1995)
Mon. Weather Rev.
, vol.123
, pp. 1128-1145
-
-
Dee, D.P.1
-
9
-
-
0032750664
-
Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology
-
Dee DP, Da Silva AM. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology. Mon. Weather Rev. 127: 1822-1834.
-
(1999)
Mon. Weather Rev.
, vol.127
, pp. 1822-1834
-
-
Dee, D.P.1
Da Silva, A.M.2
-
10
-
-
0032728136
-
Maximum-likelihood estimation of forecast and observation error covariance parameters. Part II: Applications
-
Dee DP, Gaspari G, Redder C, Rukhovets L, Da Silva AM. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part II: Applications. Mon. Weather Rev. 127: 1835-1849.
-
(1999)
Mon. Weather Rev.
, vol.127
, pp. 1835-1849
-
-
Dee, D.P.1
Gaspari, G.2
Redder, C.3
Rukhovets, L.4
Da Silva, A.M.5
-
11
-
-
0028193070
-
Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics
-
Evensen G. 1994a. Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99: 10143-10162.
-
(1994)
J. Geophys. Res.
, vol.99
, pp. 10143-10162
-
-
Evensen, G.1
-
12
-
-
0000601815
-
Inverse methods and data assimilation in nonlinear ocean models
-
Evensen G. 1994b. Inverse methods and data assimilation in nonlinear ocean models. Physica D 77: 108-129.
-
(1994)
Physica D
, vol.77
, pp. 108-129
-
-
Evensen, G.1
-
13
-
-
84884550570
-
The ensemble Kalman filter: theoretical formulation and practical implementation
-
Evensen G. 2003. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dynam. 53: 343-367.
-
(2003)
Ocean Dynam.
, vol.53
, pp. 343-367
-
-
Evensen, G.1
-
14
-
-
0004236492
-
-
The Johns Hopkins University Press: Baltimore, MD
-
GolubGH,Van Loan CF. 1996. Matrix Computations. The Johns Hopkins University Press: Baltimore, MD: 694 pp.
-
(1996)
Matrix Computations
, pp. 694
-
-
Golub, G.H.1
Van Loan, C.F.2
-
15
-
-
27744494106
-
Accounting for the error due to unresolved scales in ensemble data assimilation: a comparison of different approaches
-
Hamill TM, Whitaker JS. 2005. Accounting for the error due to unresolved scales in ensemble data assimilation: a comparison of different approaches. Mon. Weather Rev. 133: 3132-3147.
-
(2005)
Mon. Weather Rev.
, vol.133
, pp. 3132-3147
-
-
Hamill, T.M.1
Whitaker, J.S.2
-
16
-
-
0035129828
-
A sequential ensemble Kalman filter for atmospheric data assimilation
-
Houtekamer PL, Mitchell HL. 2001. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Weather Rev. 129: 123-137.
-
(2001)
Mon. Weather Rev.
, vol.129
, pp. 123-137
-
-
Houtekamer, P.L.1
Mitchell, H.L.2
-
17
-
-
22444452396
-
Unified notation for data assimilation: operational, sequential and variational
-
Ide K, Courtier P, Michael G, Lorenc AC. 1997. Unified notation for data assimilation: operational, sequential and variational. J. Meteorol. Soc. Jpn 75: 181-189.
-
(1997)
J. Meteorol. Soc. Jpn
, vol.75
, pp. 181-189
-
-
Ide, K.1
Courtier, P.2
Michael, G.3
Lorenc, A.C.4
-
18
-
-
66849124453
-
Simultaneous estimation of covariance inflatioin and observation errors within an ensemble Kalman filter
-
Li H, Kalnay E, Miyoshi T. 2009. Simultaneous estimation of covariance inflatioin and observation errors within an ensemble Kalman filter. Q. J. R. Meteorol. Soc. 135: 523-533.
-
(2009)
Q. J. R. Meteorol. Soc.
, vol.135
, pp. 523-533
-
-
Li, H.1
Kalnay, E.2
Miyoshi, T.3
-
19
-
-
84856232855
-
Maximum likelihood estimation of inflation factors on forecast error covariance matrix for ensemble Kalman filter assimilation
-
Liang X, Zheng XG, Zhang SP, Wu GC, Dai YJ, Li Y. 2011. Maximum likelihood estimation of inflation factors on forecast error covariance matrix for ensemble Kalman filter assimilation. Q. J. R. Meteorol. Soc. 138: 263-273.
-
(2011)
Q. J. R. Meteorol. Soc.
, vol.138
, pp. 263-273
-
-
Liang, X.1
Zheng, X.G.2
Zhang, S.P.3
Wu, G.C.4
Dai, Y.J.5
Li, Y.6
-
20
-
-
80051700077
-
Predictability - a problem partly solved
-
Paper presented at Seminar on Predictability, ECMWF: Reading, U.K.
-
Lorenz EN. 1996. Predictability - a problem partly solved. Paper presented at Seminar on Predictability, ECMWF: Reading, U.K.
-
(1996)
-
-
Lorenz, E.N.1
-
21
-
-
0032004313
-
Optimal sites for supplementary weather observations: Simulation with a small model
-
Lorenz EN, Emanuel KA. 1998. Optimal sites for supplementary weather observations: Simulation with a small model. J. Atmos. Sci. 55: 399-414.
-
(1998)
J. Atmos. Sci.
, vol.55
, pp. 399-414
-
-
Lorenz, E.N.1
Emanuel, K.A.2
-
22
-
-
79954615574
-
TheGaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter
-
Miyoshi T. 2011. TheGaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter. Mon. Weather Rev. 139: 1519-1535.
-
(2011)
Mon. Weather Rev.
, vol.139
, pp. 1519-1535
-
-
Miyoshi, T.1
-
23
-
-
68749116295
-
A comparison of shelf observation platforms for assimilation in an eddy-resolving ocean model
-
Oke PR, Sakov P, Schulz E. 2009. A comparison of shelf observation platforms for assimilation in an eddy-resolving ocean model. Dyn. Atmos. Oceans 48: 121-142.
-
(2009)
Dyn. Atmos. Oceans
, vol.48
, pp. 121-142
-
-
Oke, P.R.1
Sakov, P.2
Schulz, E.3
-
24
-
-
54949158157
-
Data assimilation methods in the earth sciences
-
Reichle RH. 2008. Data assimilation methods in the earth sciences. Adv. Water Resour. 31: 1411-1418.
-
(2008)
Adv. Water Resour.
, vol.31
, pp. 1411-1418
-
-
Reichle, R.H.1
-
25
-
-
39049157179
-
A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters
-
Sakov P, Oke PR. 2008. A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters. Tellus 60A: 361-371.
-
(2008)
Tellus
, vol.60 A
, pp. 361-371
-
-
Sakov, P.1
Oke, P.R.2
-
26
-
-
0037690374
-
Notes and correspondence: ensemble square root filters
-
Tippett MK, Anderson JL, Bishop CH, Hamill TM, Whitaker JS. 2003. Notes and correspondence: ensemble square root filters. Mon. Weather Rev. 131: 1485-1490.
-
(2003)
Mon. Weather Rev.
, vol.131
, pp. 1485-1490
-
-
Tippett, M.K.1
Anderson, J.L.2
Bishop, C.H.3
Hamill, T.M.4
Whitaker, J.S.5
-
27
-
-
55449094412
-
Second-order nonlinear least squares estimation
-
Wang L, Leblanc A. 2008. Second-order nonlinear least squares estimation. Ann. Inst. Stat. Math. 60: 883-900.
-
(2008)
Ann. Inst. Stat. Math.
, vol.60
, pp. 883-900
-
-
Wang, L.1
Leblanc, A.2
-
28
-
-
0037980372
-
A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes
-
Wang X, Bishop CH. 2003. A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci. 60: 1140-1158.
-
(2003)
J. Atmos. Sci.
, vol.60
, pp. 1140-1158
-
-
Wang, X.1
Bishop, C.H.2
-
29
-
-
67649379073
-
An adaptive estimation of forecast error covariance parameters for Kalman filtering data assimilation
-
Zheng XG. 2009. An adaptive estimation of forecast error covariance parameters for Kalman filtering data assimilation. Adv. Atmos. Sci. 26: 154-160.
-
(2009)
Adv. Atmos. Sci.
, vol.26
, pp. 154-160
-
-
Zheng, X.G.1
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