Biblio
Filters: Author is Laurent Bertino [Clear All Filters]
The Arctic marine forecasting center in the first Copernicus period. Proceedings of the 9th EuroGoos International Conference "Advances in Operational Oceanography": Expanding Europe's Observing and Forecasting Capacity (2021).doi:10.13155/83160
Automated Sea Ice Prediction Systems. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108417426
Biogeochemical Modelling. ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. (2022).
The Fram Strait integrated observing and modelling system. Sustainable Operational Oceanography - Proceedings of the Sixth International Conference on EuroGOOS 4–6 October 2011, Sopot, Poland (2014). Abstract
Geostatistics and sequential data assimilation. Geostatistics Banff 2004 14, 893-898 (2005). Abstract
Download: fulltext-22.pdf (843.01 KB)
MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. MERCATOR OCEAN JOURNAL NO 54: Main outcomes of the Myocean2 and Myocean follow-on projects (2016).
Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. Sea Ice in the Arctic, Past, Present and Future (2020).doi:10.1007/978-3-030-21301-5_9
Operational oceanography challenges and potential. The Norwegian Coastal Current oceanography and climate. Chapter 11 (2007).
Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. IUTAM Symposium on Physics and Mechanics of Sea Ice (2022).doi:10.1007/978-3-030-80439-8_12
Sea ice data assimilation. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108277600
Sea Ice Modelling. ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. (2022).
Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium (2011). Download: NTC-Opening-Symposium-Proceedings.pdf (12.73 MB)
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. 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).
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).
Joint state-parameter estimation in a 3-D coupled physical-ecosystem model of the North Atlantic: assimilation of SeaWiFS data with a non-Gaussian extension of an ESRF. ESA Living Planet Symposium (2010).at <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract
Download: 5_7_1_3simon.pdf (412.76 KB)
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
