Biblio
Filtre: Forfatter er Francois Stephane Counillon [Slett Alle Filtre]
Advanced data assimilation in oceanography. META 5, 8-12 (2012). Last ned: 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). Last ned: Operational Oceanography paper.doc (1.22 MB)
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
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
Last ned: 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 Last ned: 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). Last ned: Dr. Thesis_Francois_Counillon.pdf (2.71 MB)
Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science 9, (2022).
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). Last ned: 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). Last ned: 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
Last ned: ODYN-D-08-00015-2.pdf (4.53 MB); fulltext-21.pdf (5.4 MB)