Biblio
Filters: Author is Counillon, Francois [Clear All Filters]
Advanced data assimilation in oceanography. META 5, 8-12 (2012). Download: META_Bertino.pdf (2.77 MB)
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
Analysis of TOPAZ circulation around the Gulf of Mexico. NERSC Technical report no. 261 (2005). Download: Operational Oceanography paper.doc (1.22 MB)
An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).
Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system. Ocean Dynamics 64, (2014).
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus A: Dynamic Meteorology and Oceanography 72, (2019). Abstract
Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter. Journal of Geophysical Research (JGR): Oceans 119, (2014).
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
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
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)
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 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)
Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model. Tellus. Series A, Dynamic meteorology and oceanography 68:32437, (2016). Download: 32437-219959-1-PB.pdf (2.62 MB)
Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 19 (2011). Download: all.pdf (712.46 KB)
Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics 62, (2012). Abstract
High resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Shell E&P rapport. NERSC Technical report no. 276 (2007).
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. Ocean Dynamics 59, 83-95 (2009). Abstract
Download: ODYN-D-08-00015-2.pdf (4.53 MB); fulltext-21.pdf (5.4 MB)
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
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
