Biblio
Filters: Author is Counillon, Francois [Clear All Filters]
Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems 11, (2019). Abstract
Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
Hindcast Study Of Winds, Waves, and Currents In Northern Gulf Of Mexico In Hurricane Ivan (2004). Offshore Technology ConferenceOffshore Technology Conference (2005).doi:10.4043/17736-MS
High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Ocean Dynamics 59, 83-95 (2009). Abstract
Download: ODYN-D-08-00015-2.pdf (4.53 MB); fulltext-21.pdf (5.4 MB)
High Resolution Ensemble Forecasting for the Gulf of Mexico, Eddy Fronts. NERSC Technical report no. 269 (2006).
High resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Shell E&P rapport. NERSC Technical report no. 276 (2007).
Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 19 (2011). Download: all.pdf (712.46 KB)
Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model. Tellus A: Dynamic Meteorology and Oceanography 68:32437, (2016). Download: 32437-219959-1-PB.pdf (2.62 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)
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)
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).
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)
The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change. Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action (2020).doi:10.1007/978-3-030-52324-4_8
Causes of the large warm bias in the Angola–Benguela Frontal Zone in the Norwegian Earth System Model. Climate Dynamics (2017).doi:10.1007/s00382-017-3896-2
Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus A: Dynamic Meteorology and Oceanography 72, (2019). Abstract
Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system. Ocean Dynamics 64, (2014).
An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).
Analysis of TOPAZ circulation around the Gulf of Mexico. NERSC Technical report no. 261 (2005). Download: Operational Oceanography paper.doc (1.22 MB)
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
Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract
Advanced data assimilation in oceanography. META 5, 8-12 (2012). Download: META_Bertino.pdf (2.77 MB)
