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Filtre: Forfatter er Counillon, Francois [Slett Alle Filtre]

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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., 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).

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

W

Wang, Y., mfl. 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

Wang, Y., mfl. Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics 19, (2019).

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).

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Storto, A., mfl. Ocean Reanalyses: Recent Advances and Unsolved Challenges. Frontiers in Marine Science 6, (2019).

Srinivasan, A., mfl. 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

Smith, D.M., mfl. North Atlantic climate far more predictable than models imply. Nature 583, (2020).

Shah, A., Bertino, L., Counillon, F., Gharamti, M.E. & Xie, J. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019). Abstract

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

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

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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).

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).

Penny, S.G., mfl. Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).

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

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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).

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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 (JGR): Oceans 119, (2014).

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

Li, F., mfl. Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres 124, (2019). Abstract

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research