NOTE: The links will only work if you or your institution subscribes to AMS and AGU journals online.
Please e-mail smajumdar@rsmas.miami.edu to suggest additions to this list or comments on the papers.
Bishop, C. H., C. A. Reynolds and M. K. Tippett
Optimization of the fixed global observing network in a simple model.
J. Atmos. Sci., 60, in press.
Brusdal, K., J. Brankart, G. Halberstadt, G. Evensen, P. Brasseur, P.
J. van Leeuwen, E. Dombrowsky, J. Verron
An evaluation of ensemble based assimilation methods in a layered OGCM.
Journal of Marine Systems, in press.
Etherton, B. J. and C. H. Bishop
Resilience of hybrid ensemble/3d-Var analysis schemes to model error
and ensemble covariance error.
Monthly Weather Review, under review.
Etherton, B. J., C. H. Bishop and S. J. Majumdar
Would ensemble based data assimilation increase the effectiveness of
targeted observations?
Quart. J. Roy. Meteor. Soc., under review.
Evensen, G.
The ensemble Kalman filter: Theoretical formulation and practical implementation.
Submitted to Ocean Dynamics.
Natvik, L. J. and G. Evensen
Assimilation of ocean colour data into a biochemical model of the North
Atlantic. Part 1: Data assimilation experiments.
Journal of Marine Systems, in press.
Natvik, L. J. and G. Evensen
Assimilation of ocean colour data into a biochemical model of the North
Atlantic. Part 2: Statistical Analysis.
Journal of Marine Systems, in press.
Ott, E., B. R. Hunt, I. Szunyogh, A. V. Zimin, E. J. Kostelich, M. Corrazza,
E. Kalnay, D. J. Patil and J. A. Yorke
A
local ensemble Kalman filter for atmospheric data assimilation.
Submitted to Monthly Weather Review, Jan 2003.
Snyder, C., and F. Zhang
Assimilation
of simulated radar observations with an ensemble Kalman filter.
Monthly Weather Review, accepted.
Tippett, M. K., J. L. Anderson, C. H. Bishop, T. M. Hamill and J. S.
Whitaker
Ensemble
square-root filters.
Monthly Weather Review, 131, in press.
van Leeuwen, P. J.
A variance minimizing
filter for large-scale applications.
Submitted to Monthly Weather Review
Wang, X. and C. H. Bishop
A comparison of breeding and ensemble transform Kalman filter ensemble
forecast schemes.
J. Atmos Sci., 60, in press.
Zhang, F., C. Snyder and J. Sun
Impacts
of initial estimate and observations on convective-scale data assimilation
with an ensemble Kalman filter
Submitted to Monthly Weather Review, Dec 2002.
Eknes, M. and G. Evensen
An
ensemble Kalman filter with a 1-D marine ecosystem model.
Journal of Marine Systems, 36, 75-100.
Evensen, G.
Sequential data assimilation for nonlinear dynamics: The ensemble Kalman
filter
In: Pinardi, N. and J. D. Woods (eds). Ocean Forecasting: Conceptual
Basis and Applications, Springer-Verlag Berlin Heidelberg, pp. 97-116.
Hamill, T. M. and C. Snyder
Using
improved background-error covariances from an ensemble Kalman filter for
adaptive observations
Monthly Weather Review, 130, 1552-1572.
Haugen, V. E. and G. Evensen
Assimilation of SLA and SST data into an OGCM for the Indian ocean.
Ocean Dynamics, 52, 133-151.
Haugen, V. E., G. Evensen and O. M. Johannessen
Indian
ocean circulation: An integrated model and remote sensing study.
J. Geophys. Res., 107 (C5), 11-1-11-23.
Keppenne, C. L. and M. M. Rienecker
Initial
testing of a massively parallel ensemble Kalman filter with the Poseidon
isopycnal ocean general circulation model.
Monthly Weather Review, 130, 2951-2965.
Lermusiaux, P. F. J.
On
the mapping of multivariate geophysical fields: Sensitivities to size,
scales and dynamics.
Journal of Atmospheric and Oceanic Technology, 19, 1602-1637.
Majumdar, S. J., C. H. Bishop, B. J. Etherton and Z. Toth
Adaptive
Sampling with the Ensemble Transform Kalman Filter. Part II: Field Program
Implementation.
Monthly Weather Review, 130, 1356-1369
Miller, R. N. and L. L. Ehret
Ensemble
generation for models of multimodel systems.
Monthly Weather Review, 130, 2313-2333.
Mitchell, H. L., P. L. Houtekamer and G. Pellerin
Ensemble
size, balance, and model-error representation in an ensemble Kalman filter.
Monthly Weather Review, 130, 2791-2808.
Oke, P. R., J. S. Allen, R. N. Miller, G. D. Egbert and P. M. Kosro
Assimilation
of surface velocity data into a primitive equation coastal ocean model.
J. Geophys. Res., 107 (C9), 3122.
Reichle, R. H., D. B. McLaughlin and D. Entekhabi
Hydrologic
data assimilation with the ensemble Kalman filter.
Monthly Weather Review, 130, 103-114.
Whitaker, J. S. and T. M. Hamill
Ensemble
data assimilation without perturbed observations.
Monthly Weather Review, 130, 1913-1924.
Bishop, C. H., B. J. Etherton and S. J. Majumdar
Adaptive
sampling with the ensemble transform Kalman filter. Part I: Theoretical
aspects.
Monthly Weather Review, 129, 420-436.
Gronnevik, R. and G. Evensen
Application of ensemble based techniques in fish-stock assessment.
Sarsia, 86, 517-526.
Hamill, T. M., J. S. Whitaker and C. Snyder
Distance-dependent
filtering of background error covariance estimates in an ensemble Kalman
filter.
Monthly Weather Review, 129, 2776-2790.
Hansen, J. A. and L. A. Smith
Probabilistic
noise reduction.
Tellus A, 53, 585-598.
Heemink, A. W., M. Verlaan and A. J. Segers
Variance
reduced ensemble Kalman filtering.
Monthly Weather Review, 129, 1718-1728.
Houtekamer, P. L. and H. L. Mitchell
A
sequential ensemble Kalman filter for atmospheric data assimilation.
Monthly Weather Review, 129, 123-137.
Lermusiaux, P. F. J.
Evolving
the subspace of the three-dimensional multiscale ocean variability: Massachussetts
Bay.
Journal of Marine Systems, 29, 385-422.
Majumdar, S. J., C. H. Bishop, B. J. Etherton, I. Szunyogh and Z. Toth
Can
an ensemble transform Kalman filter predict the reduction in forecast error
variance produced by targeted observations?
Quart. J. Roy. Meteor. Soc., 127, 2803-2820.
Pham, D. T.
Stochastic
methods for sequential data assimilation in strongly nonlinear systems.
Monthly Weather Review, 129, 1194-1207.
van Leeuwen, P. J.
An
ensemble smoother with error estimates.
Monthly Weather Review, 129, 709-728.
Verlaan, M. and A. W. Heemink
Nonlinearity
in data assimilation applications: A practical method for analysis.
Monthly Weather Review, 129, 1578-1589.
Evensen, G. and P. J. van Leeuwen
An
ensemble Kalman smoother for nonlinear dynamics.
Monthly Weather Review, 128, 1852-1867.
Hamill, T. M. and C. Snyder
A
hybrid ensemble Kalman filter - 3D variational analysis scheme.
Monthly Weather Review, 128, 2905-2919.
Hansen, J. A. and L. A. Smith
The
Role of Operational Constraints in Selecting Supplementary Observations.
J. Atmos. Sci., 57, 2859-2871.
Keppenne, C. L.
Data
assimilation into a primitive-equation model with a parallel ensemble Kalman
filter.
Monthly Weather Review, 128, 1971-1981.
Lermusiaux, P. F. J., D. G. M. Anderson, and C. J. Lozano
On the mapping of multivariate geophysical fields: Error and variability
subspace estimates.
Quart. J. Roy. Meteor. Soc., 126, 1387-1430.
Mitchell, H. L. and P. L. Houtekamer
An
adaptive ensemble Kalman filter.
Monthly Weather Review, 128, 416-433.
Park, J. K. and A. Kaneko
Assimilation
of coastal acoustic tomography data into a barotropic ocean model.
Geophys. Res. Lett., 27, 3373-3376.
Houtekamer, P. L. and H. L. Mitchell
Reply.
Monthly Weather Review, 127, 1378-1379.
Lermusiaux, P. F. J. and A. R. Robinson
Data
assimilation via error subspace statistical estimation. Part I: Theory
and schemes.
Monthly Weather Review, 127, 1385-1407.
Lermusiaux, P. F. J.
Data
assimilation via error subspace statistical estimation. Part II: Middle
Atlantic Bight shelfbreak front simulations and ESSE validation.
Monthly Weather Review, 127, 1408-1432.
Madsen, H. and R. Canizares
Comparison of extended and ensemble Kalman filters for data assimilation
in coastal area modelling.
Int. J. Numer. Meth. Fluids, 31, 961-981.
Miller, R. N., E. F. Carter and S. T. Blue
Data
assimilation into nonlinear stochastic models.
Tellus A, 51, 167-194.
van Leeuwen, P. J.
Comment
of "Data assimilation using an ensemble Kalman filter technique".
Monthly Weather Review, 127, 6.
van Leeuwen, P. J.
The
time mean circulation in the Agulhas region determined with the ensemble
smoother.
J. Geophys. Res., 104 (C1), 1393-1404.
Houtekamer, P. L. and H. L. Mitchell
Data
assimilation using an ensemble Kalman filter technique.
Monthly Weather Review, 126, 796-811.
Houtekamer, P. L., L. Lefaivre, J. Derome, H. Ritchie and H. L. Mitchell
A
system simulation approach to ensemble prediction.
Monthly Weather Review, 124, 1225-1242.
van Leeuwen, P. J. and G. Evensen
Data
assimilation and inverse methods in terms of a probabilistic formulation
Monthly Weather Review, 124, 2898-2913.
