Biblio

Filters: Author is Laurent Bertino  [Clear All Filters]
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Bertino L, Winther N, Hansen C. 3D current modelling of the South China Sea.; 2007 p. .
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Bertino L, Samuelsen A, Counillon F, Simon E, Sakov P. Advanced data assimilation in oceanography. META [Internet]. 2012;5:8-12. Available from: https://www.notur.no/publications/magazine/
Counillon F, Sakov P, Bertino L. Application of a hybrid EnKF-OI to ocean forecasting. Ocean Science [Internet]. 2009;5. Available from: www.ocean-sci.net/5/389/2009/ Abstract
Bertino L, Evensen G, Wackernagel H. Application of data assimilation to three-dimensional hydrodynamics: the case of the Odra lagoon. Inverse Problems. 2002:1-23.
Pelc JS, Simon E, Bertino L, El Serafy G, Heemink AW. Application of model reduced 4D-Var to a 1D ecosystem model. Ocean Modelling. 2012;57-58:16.
Simon E, Bertino L. Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment. Ocean Science [Internet]. 2009;5. Available from: www.ocean-sci.net/5/495/2009/
Milutinovic S, Bertino L. Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. Remote Sensing of Environment. 2011;115. Abstract
Milutinovic S, Bertino L. Assessment and Propagation of Uncertainties in Input Terms through the Vertically Generalized Productivity Model. COCOS Workshop on Combining Water Column Data with Sediment Trap and Satellite Observations for Improved Marine Carbon Export Estimates. 2010.
Wan L, Bertino L, Zhu J. Assimilating altimetry data into a HYCOM model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. Journal of Atmospheric and Oceanic Technology [Internet]. 2010;27:753-765. Available from: http://journals.ametsoc.org/toc/atot/27/4 Abstract
Bertino L. Assimilation of ice and ocean observations for the operational forecast and reanalysis with TOPAZ. 2010.
Sakov P, Evensen G, Bertino L. Asynchronous data assimilation with the EnKF. Tellus A [Internet]. 2010;62A. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0870.2009.00417.x/abstract Abstract
B
Bertino L. Bresberg Workshop, Mohn-Sverdrup/NERSC Collaboration with IFREMER.; 2007 p. .
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Bertino L. Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium. 2011.
Chauris H, Karoui I, Garreau P, Wackernagel H, Craneguy P, Bertino L. The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences [Internet]. 2011;37. Available from: http://dx.doi.org/10.1016/j.cageo.2010.05.009 Abstract
Bertino L, Evensen G, Wackernagel H. Combining geostatistics and Kalman filtering for data assimilation in an estuarine system. Inverse Problems. 2002:1-13.
Srinivasan A, Chassignet EP, Bertino L, Brankart JM, Brasseur P, Chin TM, Counillon F, Cummings J, Mariano AJ, Smedstad OM, et al. A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling [Internet]. 2011;37. Available from: http://www.sciencedirect.com/science/article/pii/S1463500311000096 Abstract
LaCasce JH, Røed LP, Bertino L, Ådlandsvik B, Albretsen J, Budgell WP, Engedahl H, Hansen C, Johannessen JA, Svendsen E. CONMAN Technical Report No. 2: Analysis of model results.; 2007 p. .
Lisæter KA. A coupled ice - ocean data assimilation system for Arctic monitoring and prediction. Doctoral Thesis No. 72. 2007.
D
Brasseur P, Bahurel P, Bertino L, Birol F, Brankart JM, Ferry N, Losa S, Remy E, Schroeter J, Skachko S, et al. Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. Q. J. R. Meteorol. Soc. 2006;131:3561-3582.
Lisæter KA, Bertino L. Definition of class 1-4 metrics for the Arctic. MERSEA deliverable D5.4.5.; 2009 p. .
Bertino L, Evensen G. The DIADEM/TOPAZ monitoring and prediction system for the North Atlantic. 3rd EuroGOOS conference: Building the European capacity in Operational Oceanography, Athens, Greece 3-6 Dec 2002. Elsevier Oceanography Series. 2003.
Wan L, Zhu J, Wang H, Yan C, Bertino L. A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. Advances in Atmospheric Sciences [Internet]. 2009;26:1042-1052. Available from: http://www.springerlink.com.pva.uib.no/content/arwp2p67475h3732/ Abstract
Zangana G. Dynamical web-based visualization of ocean model data. Master Thesis No. 80. 2009.
E
Xie J, Counillon F, Zhu J, Bertino L. An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science. 2011;7(5):609 - 627.
Counillon F, Bertino L. Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. Tellus. 2009:296-308.