Biblio
Filters: Author is Francois Stephane Counillon [Clear All Filters]
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)
Analysis of TOPAZ circulation around the Gulf of Mexico. NERSC Technical report no. 261 (2005). Download: Operational Oceanography paper.doc (1.22 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)
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).
Implementing the EnKF into NorESM. NERSC Technical report no. 316 (2010). Download: NorEsm.pdf (4 MB)
Sensitivity of the Arctic and North Atlantic Oceans to the Bering Strait inflow: A modeling study. NERSC Technical report no. 317 (2010). Download: BS.pdf (5.05 MB)
Validation of sea ice quantities of TOPAZ for the period 1990-2010. NERSC Technical Report (2013). Download: Finck_report_reduced.pdf (8.71 MB)
Validation of the 20-year TOPAZ4 Reanalysis. NERSC Technical Report (2014). Download: Renkl_TOPAZ4_reanalysis_validation_final.pdf (39.84 MB)
Use of acoustic Travel Times for ocean model validation, and assimilation. (2010). Download: Poster-acoustics-SveinAH.pdf (1.38 MB)
Advanced data assimilation in oceanography. META 5, 8-12 (2012). Download: META_Bertino.pdf (2.77 MB)
Ocean
assimilation
and
forecasting. 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>
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
Annual and seasonal fCO(2) and air-sea CO2 fluxes in the Barents Sea. Journal of Marine Systems 113-114, (2013).
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).
Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model. Frontiers in Climate 4, (2022).
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
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)
