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University of Bergen
Francois Stephane Counillon's picture

Francois Stephane Counillon

Associate Professor
Geophysical Institute
Academic article
  • Show author(s) (2022). WMO Global Annual to Decadal Climate Update A Prediction for 2021-25. Bulletin of The American Meteorological Society - (BAMS). E1117-E1129.
  • Show author(s) (2022). Super-resolution data assimilation. Ocean Dynamics. 661-678.
  • Show author(s) (2022). Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science.
  • Show author(s) (2022). Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model. Frontiers in Climate. 1-15.
  • Show author(s) (2021). Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas. Frontiers in Marine Science. 1-16.
  • Show author(s) (2021). Relating model bias and prediction skill in the equatorial Atlantic. Climate Dynamics. 2617-2630.
  • Show author(s) (2021). Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway. Journal of Climate. 2111-2131.
  • Show author(s) (2021). NorCPM1 and its contribution to CMIP6 DCPP. Geoscientific Model Development. 7073-7116.
  • Show author(s) (2020). Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics.
  • Show author(s) (2020). Ocean Biogeochemical Predictions—Initialization and Limits of Predictability. Frontiers in Marine Science.
  • Show author(s) (2020). North Atlantic climate far more predictable than models imply. Nature.
  • Show author(s) (2020). Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling.
  • Show author(s) (2019). Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics. 5777-5797.
  • Show author(s) (2019). Ocean Reanalyses: Recent Advances and Unsolved Challenges. Frontiers in Marine Science.
  • Show author(s) (2019). Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science. 1-18.
  • Show author(s) (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.
  • Show author(s) (2019). Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems. 4147-4166.
  • Show author(s) (2019). Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus A: Dynamic Meteorology and Oceanography. 1-15.
  • Show author(s) (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.
  • Show author(s) (2018). Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model. Tellus A: Dynamic Meteorology and Oceanography. 1-23.
  • Show author(s) (2018). Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere. 3671-3691.
  • Show author(s) (2017). Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters.
  • Show author(s) (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science. 123-144.
  • Show author(s) (2017). Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling. 33-44.
  • Show author(s) (2017). Causes of the large warm bias in the Angola–Benguela Frontal Zone in the Norwegian Earth System Model. Climate Dynamics. 1-20.
  • Show author(s) (2016). Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model . Tellus A: Dynamic Meteorology and Oceanography.
  • Show author(s) (2016). Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere. 2745-2761.
  • Show author(s) (2016). An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling. 43-59.
  • Show author(s) (2016). Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society. 1064-1074.
  • Show author(s) (2015). Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic. Biogeosciences. 3641-3653.
  • Show author(s) (2015). Monitoring the spreading of the Amazon freshwater plume by MODIS, SMOS, Aquarius, and TOPAZ. Journal of Geophysical Research (JGR): Oceans. 268-283.
  • Show author(s) (2015). Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics.
  • Show author(s) (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.
  • Show author(s) (2014). Seasonal-to-decadal predictions with the ensemble kalman filter and the Norwegian earth System Model: A twin experiment. Tellus A: Dynamic Meteorology and Oceanography.
  • Show author(s) (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.
  • Show author(s) (2014). Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system. Ocean Dynamics. 1121-1136.
  • Show author(s) (2013). Satellite-derived multi-year trend in primary production in the Arctic Ocean. International Journal of Remote Sensing. 3903-3937.
  • Show author(s) (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.
  • Show author(s) (2013). Annual and seasonal fCO(2) and air-sea CO2 fluxes in the Barents Sea. Journal of Marine Systems. 62-74.
  • Show author(s) (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science. 633-656.
  • Show author(s) (2012). Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics. 1245-1257.
  • Show author(s) (2011). An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science. 609-627.
  • Show author(s) (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.
  • Show author(s) (2010). Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. Journal of Geophysical Research (JGR): Oceans.
  • Show author(s) (2009). High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Ocean Dynamics. 83-95.
  • Show author(s) (2009). Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. Tellus A: Dynamic Meteorology and Oceanography. 296-308.
  • Show author(s) (2009). Application of a hybrid EnKF-OI to ocean forecasting. Ocean Science. 389-401.
Report
  • Show author(s) (2021). Deliverable 6.11 Climate model initialization V2. .
  • Show author(s) (2016). IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED . 400. 400. .
  • Show author(s) (2014). Validation of the 20-year TOPAZ4 Reanalysis. 337. 337. .
  • Show author(s) (2013). Validation of sea ice quantities of TOPAZ for the period 1990-2010. .
  • Show author(s) (2012). Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. 336. 336. .
  • Show author(s) (2012). Quality Information Document MyOcean V1 System WP05– ARC-MFC Reanalysis. .
  • Show author(s) (2011). Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). .
Lecture
  • Show author(s) (2022). Supermodeling for improving the representation of climate variability.
  • Show author(s) (2022). Recent developments of NorCPM in climate reanalysis.
  • Show author(s) (2022). Process level characterization of Earth System Model diversity using observations and AIML based emulators: A case study using E3SM and NorESM. .
  • Show author(s) (2022). Optimal-weight ensemble for a continuous sub-seasonal forecast.
  • Show author(s) (2022). Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate ocean model for climate reconstruction.
  • Show author(s) (2019). The role of model bias for prediction skill and methods to constrain it.
  • Show author(s) (2019). Status of climate prediction and future challenges: a perspective from Norway.
  • Show author(s) (2019). Recent developments of the Norwegian Climate Prediction Model for seasonal to decadal predictions.
  • Show author(s) (2019). Observations needed for enhancing the accuracy of reanalysis in polar regions.
  • Show author(s) (2019). Enhancing the skill of dynamical climate prediction: Avenue explored with the NorCPM.
  • Show author(s) (2019). Biogeochemical Predictions - Initialization and Sources of Potential Predictability.
  • Show author(s) (2019). Biogeochemical Predictions - An update from Bergen.
  • Show author(s) (2018). Enhanced skill of dynamical prediction in the Arctic.
  • Show author(s) (2018). Dynamical climate predictions at the Bjerknes Center.
  • Show author(s) (2018). Development and current S2D prediction skill of the Norwegian Climate Prediction Model .
  • Show author(s) (2017). Initialized experiments for seasonal climate prediction at high latitudes.
  • Show author(s) (2017). Development of coupled data assimilation in Norwegian Climate Prediction Model.
  • Show author(s) (2016). Towards understanding the impact of assimilating along-track SLA data on simulated eddy characteristics in the Agulhas System.
  • Show author(s) (2016). Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • Show author(s) (2016). Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • Show author(s) (2016). Flow dependent assimilation of SST in isopycnal coordinate with the NorCPM.
Academic lecture
  • Show author(s) (2023). Atmospheric circulation key driver of observed regional sea level change.
  • Show author(s) (2022). Skillful Prediction of Barents Sea Phytoplankton Concentration.
  • Show author(s) (2022). Sea Level Projection and Reconstruction Unit (SeaPR) highlight talk: Regional sea-level change attribution with NorESM experiments.
  • Show author(s) (2021). Relating model bias and prediction skill in the equatorial Atlantic.
  • Show author(s) (2021). Recent development of a supermodel - an interactive multi- model ensemble.
  • Show author(s) (2021). Propagation of Thermohaline Anomalies and their predictive potential in the Northern North Atlantic.
  • Show author(s) (2021). Data assimilation for climate prediction .
  • Show author(s) (2021). Climate predictions.
  • Show author(s) (2021). Application of supermodeling to Earth system modelling.
  • Show author(s) (2020). Attribution of Predictive Skill Along the Atlantic Water Pathway.
  • Show author(s) (2020). Approaches to reduce model biases and initialize high-resolution climate models.
  • Show author(s) (2019). Seasonal predictions initialised by assimilating SST data with the EnKF.
  • Show author(s) (2019). Oceanography and Environmental Applications.
  • Show author(s) (2019). Norwegian Climate Prediction Model (NorCPM).
  • Show author(s) (2019). NorCPM1 and its contribution to CMIP6 DCPP.
  • Show author(s) (2019). Impact of Snow Initialization in Subseasonal-to-Seasonal (S2S) Winter Forecasts with the Norwegian Climate Prediction Model.
  • Show author(s) (2019). Empirical anisotropic multivariate localisation in the ensemble Kalman filter for Earth System models.
  • Show author(s) (2019). Development of ensemble-based data assimilation techniques for climate prediction .
  • Show author(s) (2019). Assessing the contribution of ocean and sea ice initialization for seasonal prediction in the Arctic.
  • Show author(s) (2019). Approaches to reduce model bias and improve climate predictions.
  • Show author(s) (2018). Subtropical North Atlantic preconditioning key to skilful subpolar gyre prediction.
  • Show author(s) (2018). Seasonal prediction skill in the tropical Atlantic using anomaly coupling.
  • Show author(s) (2018). Optimised assimilation of sea ice concentration and its implications for climate prediction.
  • Show author(s) (2018). Optimised assimilation of sea ice concentration and implications for climate prediction.
  • Show author(s) (2018). Norwegian Climate Prediction Model.
  • Show author(s) (2018). Can we use flow dependent assimilation with a high resolution Earth System Model ?
  • Show author(s) (2018). Arctic sea ice (and icebergs) in a changing climate .
  • Show author(s) (2017). Recent Developments in NorCPM (Norwegian Climate Prediction Model) for Enhancing Arctic Climate Prediction Skill .
  • Show author(s) (2017). Optimising assimilation of sea ice concentration in a fully coupled Earth system model with a multicategory sea ice model.
  • Show author(s) (2017). Lecture on optimising the assimilation of sea ice concentration in a fully coupled Earth system model with a multicategory sea ice model.
  • Show author(s) (2017). Data assimilation of sea ice within NorCPM.
  • Show author(s) (2017). Data assimilation of sea ice - investigating key strategies in an Earth system model with a multi-category sea ice model.
  • Show author(s) (2017). Climate prediction with the Norwegian model NorCPM.
  • Show author(s) (2017). Climate prediction with NorCPM.
  • Show author(s) (2017). Assimilation of sea ice within the Norwegian Climate Prediction Model (keynote).
  • Show author(s) (2016). Reanalysis and climate prediction with the Norwegian Climate Prediction Model .
  • Show author(s) (2016). Data assimilation of sea ice within the Norwegian Climate Prediction Model.
  • Show author(s) (2016). Assimilating sea ice in the Norwegian Climate Prediction Model.
  • Show author(s) (2016). Application, Data assimilation: a perspective from Norway .
  • Show author(s) (2014). Seasonal-to-decadal prediction with NorCPM.
  • Show author(s) (2014). Seasonal to decadal prediction with NorCPM.
  • Show author(s) (2014). Seasonal to decadal prediction with NorCPM.
  • Show author(s) (2014). Data assimilation, A brief overview.
  • Show author(s) (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • Show author(s) (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • Show author(s) (2013). Data assimilation in the ocean.
  • Show author(s) (2012). Seasonal-decadal prediction with the EnKF and NorESM.
  • Show author(s) (2011). Spaceborne investigation of the long-term variability of primary productivity in the Arctic Basin.
Editorial
  • Show author(s) (2022). Editorial: Past Reconstruction of the Physical and Biogeochemical Ocean State. Frontiers in Earth Science.
  • Show author(s) (2018). Regional Coupled Model and Data Assimilation. Advances in Meteorology. 2 pages.
Popular scientific article
  • Show author(s) (2012). Advanced data assimilation in oceanography. META. 8-12.
Interview
  • Show author(s) (2022). Norsk Klimamodell I Varselet Fra Climate Futures.
  • Show author(s) (2020). Skal varsle klimarisiko ti år frem i tid.
  • Show author(s) (2020). Nytt senter for forskningsdrevet innovasjon: Climate Futures skal varsle klimarisiko fra 10 dager til 10 år fremover.
  • Show author(s) (2020). Klimarapport varslar auka temperatur dei neste fem åra.
  • Show author(s) (2018). Vil gi deg svar på om det blir kalde eller varme vintre ti år frem i tid.
  • Show author(s) (2018). Varsler kald april og økt fare for storflom.
  • Show author(s) (2018). Sesongvarsling: Skreddersøm med Big Data.
  • Show author(s) (2018). I Bergen satses det på klimavarsling.
  • Show author(s) (2018). Får 60 millioner for å levere klimavarsel .
  • Show author(s) (2018). Forskere får 16 millioner til å lage superværmelding.
  • Show author(s) (2018). Bjerknessenteret skal levere klimavarsel ti år fram i tid: Vått og mildt.
  • Show author(s) (2017). Sesongvarsling: Skreddersøm med Big Data.
  • Show author(s) (2017). Klimamodelleringsmiljøet får bevilgning i 100 millionersklassen.
Academic chapter/article/Conference paper
  • Show author(s) (2020). The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change.
Poster
  • Show author(s) (2022). Skillful prediction of harmful algae blooms of Dinophysis spp. in northern Norway.
  • Show author(s) (2022). Coupled reanalysis of the climate back to 1850 (CoRea).
  • Show author(s) (2022). Benefit of vertical localisation for sea surface temperature assimilation in isopycnal coordinate model.
  • Show author(s) (2021). Seasonal prediction in northern Atlantic Ocean and Norwegian Seas.
  • Show author(s) (2021). Predictability of Barents Sea Phytoplankton Concentration.
  • Show author(s) (2021). Phytoplankton bloom phenology along the Norwegian continental shelf.
  • Show author(s) (2021). Improving weather and climate predictions by training of supermodels.
  • Show author(s) (2021). Coupled reanalyses of NorCPM1 contributed to CMIP6 DCPP.
  • Show author(s) (2021). Anomaly assimilation of hydrographic profile data with the Norwegian Climate Prediction Model (NorCPM).
  • Show author(s) (2020). Subseasonal-to-seasonal Winter Forecasts with the Norwegian Climate Prediction Model: Role of Snow-Atmosphere Coupling at High Latitudes.
  • Show author(s) (2020). Parameter estimation of 1D ocean biogeochemical model.
  • Show author(s) (2020). Ocean Biogeochemical Predictions.
  • Show author(s) (2019). Sensitivity of decadal climate predictions in the North Atlantic to anomaly initialisation choices.
  • Show author(s) (2019). Impact of snow initialisation in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model.
  • Show author(s) (2018). Seasonal-to-decadal prediction with the Norwegian Climate Prediction Model.
  • Show author(s) (2018). Relating model bias and prediction skill in the tropical Atlantic.
  • Show author(s) (2018). Assimilation of sea ice in an Earth system model and its impacts for climate prediction .
  • Show author(s) (2018). Assimilation of sea ice in an Earth system model and its impacts for climate prediction.
  • Show author(s) (2018). Assimilation of sea ice in an Earth system model and impacts for climate prediction.
  • Show author(s) (2018). Assimilation of sea ice in an Earth system model.
  • Show author(s) (2018). A minimalistic damped harmonic oscillator framework for assessing decadal climate predictability in the Subpolar North Atlantic.

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