Biblio

Export 160 results:
Filters: Author is Laurent Bertino  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Bertino, L., et al. 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).
Bertino, L. TOPAZ: the MyOcean Arctic forecasting system. World Climate Research Programme workshop on seasonal to multi-decadal predictability of polar climate (2010).at <http://www.atmosp.physics.utoronto.ca/SPARC/PolarWorkshop/main.html>
Bertino, L. Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium (2011).
Bertino, L. & Xie, J. 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
Brajard, J., Carrassi, A., Bocquet, M. & Bertino, L. Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (2021).doi:10.1098/rsta.2020.0086 Abstract
Brajard, J., Bocquet, M., Carrassi, A. & Bertino, L. Connections between data assimilation and machine learning to emulate a numerical model. Proceedings of the 9th International Workshop on Climate informatics: CI 2019 (2019).doi:10.5065/y82j-f154
Buehner, M., Bertino, L., Caya, A., Heimbach, P. & Smith, G. Sea ice data assimilation. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108277600
C