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Xie, J., Counillon, F. & Bertino, L. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract

Xie, J., Zhu, J., Bertino, L. & Counillon, F. 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

Xie, J., Counillon, F., Zhu, J. & Bertino, L. 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).

Xie, J., Counillon, F., Bertino, L., Tian-Kunze, X. & Kaleschke, L. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).

Xie, J., Bertino, L., Lisæter, K.A., Counillon, F. & Sakov, P. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science 13, (2017).

W

Wang, Y., et al. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling 114, (2017).

Wang, Y., Counillon, F. & Bertino, L. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract

V

de Vos, M., Backeberg, B. & Counillon, F. Using an eddy-tracking algorithm to understand the impact of assimilating altimetry data on the eddy characteristics of the Agulhas system. Ocean Dynamics 68, (2018).

S

Srinivasan, A., et al. 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

Sakov, P., et al. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science 8, (2012). Abstract

R

Renkl, C., Counillon, F. & Bertino, L. Validation of the 20-year TOPAZ4 Reanalysis. NERSC Technical Report (2014).

P

Petrenko, D., Pozdnyakov, D., Johannessen, J.A., Counillon, F. & Sychov, V. Satellite-derived multi-year trend in primary production in the Arctic Ocean. International Journal of Remote Sensing 34, (2013).

Petrenko, D., Zabolotsikh, E.V., Pozdnyakov, D., Counillon, F. & Karlin, L.N. Interannual variations and trend of the production of inorganic carbon by coccolithophores in the arctic in 2002–2010 based on satellite data. Izvestiya, Atmospheric and Oceanic Physics 49, (2013). Abstract

Petrenko, D., Pozdnyakov, D., Counillon, F. & Sychov, V. 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).

Penny, S.G., et al. Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges and Recommendations. (2017).

N

Ness, B., Counillon, F. & Dumont, D. Sensitivity of the Arctic and North Atlantic Oceans to the Bering Strait inflow: A modeling study. NERSC Technical report no. 317 (2010).

M

Melsom, A., Counillon, F., Lacasce, J.H. & Bertino, L. Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics 62, (2012). Abstract

Massonnet, F., Goosse, H., Fichefet, T. & Counillon, F. Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter. Journal of Geophysical Research - Oceans 119, (2014).

L

Lien, V.S., et al. An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).

Lauvset, S.K., et al. Annual and seasonal fCO(2) and air-sea CO2 fluxes in the Barents Sea. Journal of Marine Systems 113-114, (2013).

K

Koseki, S., et al. 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

Korosov, A., Counillon, F. & Johannessen, J.A. Monitoring the spreading of the Amazon freshwater plume by MODIS, SMOS, Aquarius, and TOPAZ. Journal of Geophysical Research - Oceans 120, (2015).

Kimmritz, M., et al. Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model. Tellus. Series A, Dynamic meteorology and oceanography 70:1435945, (2018).

Keghouche, I., Counillon, F. & Bertino, L. Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. Journal of Geophysical Research 115, 14 (2010). Abstract

J

Johannessen, J.A., et al. Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. Surveys in geophysics 35, (2014). Abstract

Nansen Environmental and Remote Sensing Center (Bergen, Norway)	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies (Dhaka, Bangladesh)	Nansen International Environmental and Remote Sensing Center (St. Petersburg, Russia)
Nansen Environmental Research Center – India (Cochin, India)	Nansen–Zhu International Research Centre (Beijing, China)	Nansen-Tutu Centre for Marine Environmental Research (Cape Town, South Africa)