Biblio
Filters: Author is Francois Stephane Counillon [Clear All Filters]
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
Spaceborne investigation of the long-term variability of primary productivity in the Arctic Basin. The international conference ”Climate Changes in Polar and Subpolar Regions" (2011).
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).
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).
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus A: Dynamic Meteorology and Oceanography 72, (2019). Abstract
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)
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)
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). Download: 32437-219959-1-PB.pdf (2.62 MB)
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. 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
Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems 11, (2019). Abstract
