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Francois Counillon

Associate Professor
Academic article
  • 2019. Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics. 5777-5797.
  • 2019. Ocean Reanalyses: Recent Advances and Unsolved Challenges. Frontiers in Marine Science.
  • 2019. Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science. 1-18.
  • 2019. Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres. 10033-10048.
  • 2019. Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems. 4147-4166.
  • 2019. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography. 1-15.
  • 2018. Using an eddy-tracking algorithm to understand the impact of assimilating altimetry data on the eddy characteristics of the Agulhas system. Ocean Dynamics. 1071-1091.
  • 2018. Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model. Tellus. Series A, Dynamic meteorology and oceanography. 1-23.
  • 2018. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere. 3671-3691.
  • 2017. Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters.
  • 2017. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science. 123-144.
  • 2017. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling. 33-44.
  • 2017. Causes of the large warm bias in the Angola–Benguela Frontal Zone in the Norwegian Earth System Model. Climate Dynamics. 1-20.
  • 2016. Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model . Tellus. Series A, Dynamic meteorology and oceanography.
  • 2016. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere. 2745-2761.
  • 2016. An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling. 43-59.
  • 2016. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society. 1064-1074.
  • 2015. Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic. Biogeosciences. 3641-3653.
  • 2015. Monitoring the spreading of the Amazon freshwater plume by MODIS, SMOS, Aquarius, and TOPAZ. Journal of Geophysical Research (JGR): Oceans. 268-283.
  • 2015. Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics.
  • 2014. Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. Surveys in geophysics. 661-679.
  • 2014. Seasonal-to-decadal predictions with the ensemble kalman filter and the Norwegian earth System Model: A twin experiment. Tellus. Series A, Dynamic meteorology and oceanography.
  • 2014. Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter. Journal of Geophysical Research (JGR): Oceans. 4168-4184.
  • 2014. Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system. Ocean Dynamics. 1121-1136.
  • 2013. Satellite-derived multi-year trend in primary production in the Arctic Ocean. International Journal of Remote Sensing. 3903-3937.
  • 2013. 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. 871-878.
  • 2013. Annual and seasonal fCO(2) and air-sea CO2 fluxes in the Barents Sea. Journal of Marine Systems. 62-74.
  • 2012. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science. 633-656.
  • 2012. Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics. 1245-1257.
  • 2011. An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science. 609-627.
  • 2011. 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. 85-111.
  • 2010. Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. Journal of Geophysical Research (JGR): Oceans.
  • 2009. High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Ocean Dynamics. 83-95.
  • 2009. Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. Tellus. Series A, Dynamic meteorology and oceanography. 296-308.
  • 2009. Application of a hybrid EnKF-OI to ocean forecasting. Ocean Science. 389-401.
Report
  • 2016. IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED . 400. 400. .
  • 2014. Validation of the 20-year TOPAZ4 Reanalysis. 337. 337. .
  • 2013. Validation of sea ice quantities of TOPAZ for the period 1990-2010. .
  • 2012. Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. 336. 336. .
  • 2012. Quality Information Document MyOcean V1 System WP05– ARC-MFC Reanalysis. .
  • 2011. Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). .
Lecture
  • 2019. The role of model bias for prediction skill and methods to constrain it.
  • 2019. Status of climate prediction and future challenges: a perspective from Norway.
  • 2019. Recent developments of the Norwegian Climate Prediction Model for seasonal to decadal predictions.
  • 2019. Observations needed for enhancing the accuracy of reanalysis in polar regions.
  • 2019. Enhancing the skill of dynamical climate prediction: Avenue explored with the NorCPM.
  • 2019. Biogeochemical Predictions - Initialization and Sources of Potential Predictability.
  • 2019. Biogeochemical Predictions - An update from Bergen.
  • 2018. Enhanced skill of dynamical prediction in the Arctic.
  • 2018. Dynamical climate predictions at the Bjerknes Center.
  • 2018. Development and current S2D prediction skill of the Norwegian Climate Prediction Model .
  • 2018. Arctic sea ice (and icebergs) in a changing climate .
  • 2017. Initialized experiments for seasonal climate prediction at high latitudes.
  • 2017. Development of coupled data assimilation in Norwegian Climate Prediction Model.
  • 2016. Towards understanding the impact of assimilating along-track SLA data on simulated eddy characteristics in the Agulhas System.
  • 2016. Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • 2016. Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • 2016. Flow dependent assimilation of SST in isopycnal coordinate with the NorCPM.
Academic lecture
  • 2019. Seasonal predictions initialised by assimilating SST data with the EnKF.
  • 2019. Oceanography and Environmental Applications.
  • 2019. Norwegian Climate Prediction Model (NorCPM).
  • 2019. NorCPM1 and its contribution to CMIP6 DCPP.
  • 2019. Impact of Snow Initialization in Subseasonal-to-Seasonal (S2S) Winter Forecasts with the Norwegian Climate Prediction Model.
  • 2019. Empirical anisotropic multivariate localisation in the ensemble Kalman filter for Earth System models.
  • 2019. Development of ensemble-based data assimilation techniques for climate prediction .
  • 2019. Assessing the contribution of ocean and sea ice initialization for seasonal prediction in the Arctic.
  • 2019. Approaches to reduce model bias and improve climate predictions.
  • 2018. Subtropical North Atlantic preconditioning key to skilful subpolar gyre prediction.
  • 2018. Seasonal prediction skill in the tropical Atlantic using anomaly coupling.
  • 2018. Optimised assimilation of sea ice concentration and its implications for climate prediction.
  • 2018. Optimised assimilation of sea ice concentration and implications for climate prediction.
  • 2018. Norwegian Climate Prediction Model.
  • 2018. Can we use flow dependent assimilation with a high resolution Earth System Model ?
  • 2017. Recent Developments in NorCPM (Norwegian Climate Prediction Model) for Enhancing Arctic Climate Prediction Skill .
  • 2017. Optimising assimilation of sea ice concentration in a fully coupled Earth system model with a multicategory sea ice model.
  • 2017. Lecture on optimising the assimilation of sea ice concentration in a fully coupled Earth system model with a multicategory sea ice model.
  • 2017. Data assimilation of sea ice within NorCPM.
  • 2017. Data assimilation of sea ice - investigating key strategies in an Earth system model with a multi-category sea ice model.
  • 2017. Climate prediction with the Norwegian model NorCPM.
  • 2017. Climate prediction with NorCPM.
  • 2017. Assimilation of sea ice within the Norwegian Climate Prediction Model (keynote).
  • 2016. Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • 2016. Data assimilation of sea ice within the Norwegian Climate Prediction Model.
  • 2016. Assimilating sea ice in the Norwegian Climate Prediction Model.
  • 2016. Application, Data assimilation: a perspective from Norway .
  • 2014. Seasonal-to-decadal prediction with NorCPM.
  • 2014. Seasonal to decadal prediction with NorCPM.
  • 2014. Seasonal to decadal prediction with NorCPM.
  • 2014. Data assimilation, A brief overview.
  • 2013. Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • 2013. Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • 2013. Data assimilation in the ocean.
  • 2012. Seasonal-decadal prediction with the EnKF and NorESM.
  • 2011. Spaceborne investigation of the long-term variability of primary productivity in the Arctic Basin.
Editorial
  • 2018. Regional Coupled Model and Data Assimilation. Advances in Meteorology. 2 pages.
Popular scientific article
  • 2012. Advanced data assimilation in oceanography. META. 8-12.
Interview
  • 2020. Skal varsle klimarisiko ti år frem i tid.
  • 2020. Nytt senter for forskningsdrevet innovasjon: Climate Futures skal varsle klimarisiko fra 10 dager til 10 år fremover.
  • 2018. Vil gi deg svar på om det blir kalde eller varme vintre ti år frem i tid.
  • 2018. Varsler kald april og økt fare for storflom.
  • 2018. Sesongvarsling: Skreddersøm med Big Data.
  • 2018. I Bergen satses det på klimavarsling.
  • 2018. Får 60 millioner for å levere klimavarsel .
  • 2018. Forskere får 16 millioner til å lage superværmelding.
  • 2018. Bjerknessenteret skal levere klimavarsel ti år fram i tid: Vått og mildt.
  • 2017. Sesongvarsling: Skreddersøm med Big Data.
  • 2017. Klimamodelleringsmiljøet får bevilgning i 100 millionersklassen.
Poster
  • 2020. Subseasonal-to-seasonal Winter Forecasts with the Norwegian Climate Prediction Model: Role of Snow-Atmosphere Coupling at High Latitudes.
  • 2020. Parameter estimation of 1D ocean biogeochemical model.
  • 2019. Sensitivity of decadal climate predictions in the North Atlantic to anomaly initialisation choices.
  • 2019. Impact of snow initialisation in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model.
  • 2018. Seasonal-to-decadal prediction with the Norwegian Climate Prediction Model.
  • 2018. Relating model bias and prediction skill in the tropical Atlantic.
  • 2018. Assimilation of sea ice in an Earth system model and its impacts for climate prediction .
  • 2018. Assimilation of sea ice in an Earth system model and its impacts for climate prediction.
  • 2018. Assimilation of sea ice in an Earth system model and impacts for climate prediction.
  • 2018. Assimilation of sea ice in an Earth system model.
  • 2018. A minimalistic damped harmonic oscillator framework for assessing decadal climate predictability in the Subpolar North Atlantic.

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