Biblio
Filters: Author is Laurent Bertino [Clear All Filters]
Automated Sea Ice Prediction Systems. (2017).doi:10.1017/9781108417426
Geostatistics and sequential data assimilation. Geostatistics Banff 2004 14, 893-898 (2005). Abstract
Operational oceanography challenges and potential. The Norwegian Coastal Current oceanography and climate. Chapter 11 (2007).
Sea ice data assimilation. (2017).doi:10.1017/9781108277600
Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium (2011).
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).
GOCINA products of relevance for GOCE validation and calibration. Workshop GOCINA: Improved modelling of the ocean transport and climate prediction in the North Atlantic region using GOCE gravimetry, April 13-15 2005, Cahiers du Centre Europeen de Geodynmaique et de Seismologie 25, (2005).
GOCINA products of relevance for GOCE validation and calibration. Proceedings of Workshop, April 13-15 2005- GOCINA: improving modelling of ocean transport and climate prediction in the North atlantic region using GOCE gravimetry. Cahiers du Centre European de Geodynamique et de Seimologie 25, (2006).
Modeling the marginal ice zone and the Arctic of the future. ArcticNet Scientific Meeting (2009).
Monitoring the Norwegian Coastal Zone Environment - The MONCOZE Approach. European Operational Oceanography: Present and future. Proceedings of the 4th International Conference on EuroGOOS 809-815 (2006).
Ocean eddy tracking with circlets. StatGIS 2009 6p (2009).
The TOPAZ Arctic monitoring and prediction system. Proceedings of the DAMOCLES workshop: Current Problems for operational short range weather, ocean and sea ice forecasting in the Arctic - a user perspective. The Polar Environmental Centre, Tromsø, Norway (2006).
The TOPAZ monitoring and prediction system for the Atlantic. European Operational Oceanography: Present and Future, 4th EuroGOOS Conference, June 2005, Brest, France 456-459 (2005).
Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract
Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics (2015).doi:10.1007/s10236-015-0817-y
Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. Remote Sensing of Environment 115, (2011). Abstract
An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).
Assimilating altimetry data into a HYCOM model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. Journal of Atmospheric and Oceanic Technology 27, 753-765 (2010). Abstract
Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. Quarterly Journal of the Royal Meteorological Society 144, (2018). Abstract
