313
Science Series, Cambridge University Press, 457 pp.
Dee D.P., 1991: Simplification of the Kalman filter for meteorological data assimilation, Quart. J.Roy. Meteor. Soc., 117, 365-384.
Dee D.P and Da Silva A., 1998: Data assimilation in the presence of forecast bias,
Quart.. J. Roy. Meteor. Soc., 124, 269-295.
De Mey P. and M. Benkiran, 2002: A multivariate reduced-order optimal interpolation
method and its application to the Mediterranean basin-scale circulation. In: Ocean
Forecasting: Conceptual basis and applications, N. Pinardi and J.D. Woods, Eds,
Springer-Verlag, Belin, Heidelberg, New York, 472 pp.
De Mey P., T. Awaji, M. Bell, A.F. Bennett, P. Brasseur, G. Evensen, K. Haines,
I. Fukumori, O.M. Smedstad, D. Stammer and A. Weaver, 2002 : Approaches to
Data Assimilation within GODAE. Proceedings of the international symposium
“En route to GODAE .
Echevin V., P. De Mey and G. Evensen, 2000: Horizontal and Vertical Structure of
the Representer Functions for Sea Surface Measurements in a Coastal Circulation
Model. J. Phys. Oceanogr., 30, 2627-2635.
Emery W.J. and R.E. Thomson, 1998: Data analysis methods in physical oceanography, Pergamon, 634 pp.
Evensen G., 1994: Sequential data assimilation with a non-linear quasi-geostrophic
model using Monte-Carlo methods to forecast error statistics. J. Geophys. Res.,
99(C5), 10,143-10,162.
Evensen G. and P.J. van Leeuwen, 2000: An Ensemble Kalman Smoother for nonlinear Dynamics, Mon. Wea. Rev., 128, 1852-1867.
Evensen G., 2003 : The Ensemble Kalman Filter: theoretical formulation and practical
implementation. Ocean Dynamics, 53(4), 343-367.
Ferry N., E. Remy, P. Brasseur and C. Maes, 2005: The MERCATOR global ocean
operational analysis/forecast system: assessment and validation of a 11-year
reanalysis, submitted to J. Mar. Syst.
Fu L.L., I. Fukumori and R.N. Miller, 1993: Fitting dynamic models to Geosat
sea-level observations in the tropical Pacific ocean. Part II: A linear, wind-driven
model. J. Phys. Oceanogr., 23, 2162-2181.
Fukumori I., J. Benveniste, C. Wunsch and D.B. Haidvogel, 1993: Assimilation of sea
surface topography into an ocean circulation model using a steady state smoother.
J. Phys. Oceanogr., 23, 1831-1855.
Fukumori I., 1995: Assimilation of Topex sea level measurements with a reducedgravity, shallow water model of the tropical Pacific ocean. J. Geophys. Res., 100
(C12), 25,027-25,039.
Fukumori I. and P. Malanotte-Rizzoli, 1995: An approximate Kalman filter for ocean
data assimilation: an example with an idealized Gulf Stream model. J. Geophys.
Res., 100 (C4), 6,777-6,793.
Fukumori I., 2001: Data Assimilation by Models. In: Satellite Altimetry and Earth
Sciences, L.L. Fu and A. Cazenave Eds., International Geophysics Series, Vol. 69,
Academic Press, 463 pp.
Fukumori I., 2002: A partitioned Kalman Filter and Smoother, Mon. Wea. Rev., 130,
1370-1383.
Gavart M., P. De Mey and G. Caniaux, 1999: Assimilation of satellite altimeter data
in a primitive-equation model of the Azores-Madeira region, Dyn. Atmos. Oceans,
29, 217-254.
Gelb A., 1974: Applied optimal estimation. MIT Press, Cambridge, MA, 374 pp.
Daley R., 1991: Atmospheric Data Analysis, Cambridge Atmospheric and Space
“
OCEAN DATA ASSIMILATION
Science Series, Cambridge University Press, 457 pp.
Dee D.P., 1991: Simplification of the Kalman filter for meteorological data assimilation, Quart. J.Roy. Meteor. Soc., 117, 365-384.
Dee D.P and Da Silva A., 1998: Data assimilation in the presence of forecast bias,
Quart.. J. Roy. Meteor. Soc., 124, 269-295.
De Mey P. and M. Benkiran, 2002: A multivariate reduced-order optimal interpolation
method and its application to the Mediterranean basin-scale circulation. In: Ocean
Forecasting: Conceptual basis and applications, N. Pinardi and J.D. Woods, Eds,
Springer-Verlag, Belin, Heidelberg, New York, 472 pp.
De Mey P., T. Awaji, M. Bell, A.F. Bennett, P. Brasseur, G. Evensen, K. Haines,
I. Fukumori, O.M. Smedstad, D. Stammer and A. Weaver, 2002 : Approaches to
Data Assimilation within GODAE. Proceedings of the international symposium
“En route to GODAE .
Echevin V., P. De Mey and G. Evensen, 2000: Horizontal and Vertical Structure of
the Representer Functions for Sea Surface Measurements in a Coastal Circulation
Model. J. Phys. Oceanogr., 30, 2627-2635.
Emery W.J. and R.E. Thomson, 1998: Data analysis methods in physical oceanography, Pergamon, 634 pp.
Evensen G., 1994: Sequential data assimilation with a non-linear quasi-geostrophic
model using Monte-Carlo methods to forecast error statistics. J. Geophys. Res.,
99(C5), 10,143-10,162.
Evensen G. and P.J. van Leeuwen, 2000: An Ensemble Kalman Smoother for nonlinear Dynamics, Mon. Wea. Rev., 128, 1852-1867.
Evensen G., 2003 : The Ensemble Kalman Filter: theoretical formulation and practical
implementation. Ocean Dynamics, 53(4), 343-367.
Ferry N., E. Remy, P. Brasseur and C. Maes, 2005: The MERCATOR global ocean
operational analysis/forecast system: assessment and validation of a 11-year
reanalysis, submitted to J. Mar. Syst.
Fu L.L., I. Fukumori and R.N. Miller, 1993: Fitting dynamic models to Geosat
sea-level observations in the tropical Pacific ocean. Part II: A linear, wind-driven
model. J. Phys. Oceanogr., 23, 2162-2181.
Fukumori I., J. Benveniste, C. Wunsch and D.B. Haidvogel, 1993: Assimilation of sea
surface topography into an ocean circulation model using a steady state smoother.
J. Phys. Oceanogr., 23, 1831-1855.
Fukumori I., 1995: Assimilation of Topex sea level measurements with a reducedgravity, shallow water model of the tropical Pacific ocean. J. Geophys. Res., 100
(C12), 25,027-25,039.
Fukumori I. and P. Malanotte-Rizzoli, 1995: An approximate Kalman filter for ocean
data assimilation: an example with an idealized Gulf Stream model. J. Geophys.
Res., 100 (C4), 6,777-6,793.
Fukumori I., 2001: Data Assimilation by Models. In: Satellite Altimetry and Earth
Sciences, L.L. Fu and A. Cazenave Eds., International Geophysics Series, Vol. 69,
Academic Press, 463 pp.
Fukumori I., 2002: A partitioned Kalman Filter and Smoother, Mon. Wea. Rev., 130,
1370-1383.
Gavart M., P. De Mey and G. Caniaux, 1999: Assimilation of satellite altimeter data
in a primitive-equation model of the Azores-Madeira region, Dyn. Atmos. Oceans,
29, 217-254.
Gelb A., 1974: Applied optimal estimation. MIT Press, Cambridge, MA, 374 pp.
Daley R., 1991: Atmospheric Data Analysis, Cambridge Atmospheric and Space
“
OCEAN DATA ASSIMILATION