Biblio
Filters: Author is Laurent Bertino [Clear All Filters]
Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium (2011). Download: NTC-Opening-Symposium-Proceedings.pdf (12.73 MB)
The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences 37, (2011). Abstract
Download: sdarticle-1.pdf (1.86 MB)
The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. Atmospheric and Oceanic Science Letters 10, (2017). Download: George-AOSL-WarmPool-2017.pdf (1.78 MB)
Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration. The Cryosphere 15, (2021).
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).
Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, (2021). Abstract
Combining geostatistics and Kalman filtering for data assimilation in an estuarine system. Inverse Problems 1-13 (2002). Download: ber02a.pdf (240.51 KB)
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 37, (2011). Abstract
Download: sdarticle-4.pdf (3.72 MB)
Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 13, (2020).
A coupled ice - ocean data assimilation system for Arctic monitoring and prediction. Doctoral Thesis No. 72 (2007).
Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. Q. J. R. Meteorol. Soc. 131, 3561-3582 (2006).
Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
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).
A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. Advances in Atmospheric Sciences 26, 1042-1052 (2009). Abstract
Download: fulltext-26.pdf (974.65 KB)
Dynamical web-based visualization of ocean model data. Master Thesis No. 80 (2009).
An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science 7, 609 - 627 (2011).
Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. Ocean Modelling 112, (2017).
Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters 209, (2022).
Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. Tellus 296-308 (2009).doi:10.1111/j.1600-0870.2008.00383.x Download: TEA-07-09-0098.pdf (1.11 MB)
Ensemble-based data assimilation with an eddy-resolving model of the Gulf of Mexico. Doctoral Thesis No. 75 (2008). Download: Dr. Thesis_Francois_Counillon.pdf (2.71 MB)
Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment. Ocean Science (2012).doi:10.5194/os-8-587-2012
