Vitenskapelig artikkel

• Macelloni, Giovanni; Jezek, Kenneth C.; Brogioni, Marco et al. (2026). Wideband Radiometry From P to S Band for Monitoring Polar Regions. (ekstern lenke)
• Garcia-Espriu, Aina; González-Gambau, Verónica; Olmedo, Estrella et al. (2026). ESA Arctic+ Salinity Product v4: Enhanced Retrievals Near the Ice-Edge.. (ekstern lenke)
• Durand, Charlotte; Finn, Tobias Sebastian; Farchi, Alban et al. (2025). Four-dimensional variational data assimilation with a sea-ice thickness emulator. (ekstern lenke)
• Mendonça, Fernando; Martins, Flávio; Bertino, Laurent (2025). Design of an Observing System Simulation Experiment for the Operational Model of the Southwestern Coast of Iberia (SOMA). (ekstern lenke)
• Edel, Leo; Xie, Jiping; Korosov, Anton et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Ciavatta, S.; Lazzari, P.; Alvarez, E. et al. (2025). Control of simulated ocean ecosystem indicators by biogeochemical observations. (ekstern lenke)
• Martin, Matthew J.; Hoteit, Ibrahim; Bertino, Laurent Pierre Vincent et al. (2025). Data assimilation schemes for ocean forecasting: state of the art.. (ekstern lenke)
• Bertino, Laurent Pierre Vincent; Heimback, Patrick; Blockley, Ed et al. (2025). Numerical models for monitoring and forecasting sea ice: a short description of present status. (ekstern lenke)
• Jeuring, Jelmer; Samuelsen, Eirik Mikal; Lamers, Machiel et al. (2024). Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios. (ekstern lenke)
• Chen, Yumeng; Smith, Polly; Carrassi, Alberto et al. (2024). Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology. (ekstern lenke)
• Palerme, Cyril; Lavergne, Thomas; Rusin, Jozef et al. (2024). Improving short-term sea ice concentration forecasts using deep learning. (ekstern lenke)
• Moro, Marina Durán; Sperrevik, Ann Kristin; Lavergne, Thomas et al. (2024). Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model. (ekstern lenke)
• Driscoll, Simon; Carrassi, Alberto; Brajard, Julien et al. (2024). Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. (ekstern lenke)
• Alvarez, Fanjul; Ciliberti, S.; Pearlman, J. et al. (2024). Promoting best practices in ocean forecasting through an Operational Readiness Level. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Counillon, Francois Stephane; Brajard, Julien et al. (2024). Hybrid covariance super-resolution data assimilation. (ekstern lenke)
• Ciliberti, Stefania A.; Fanjul, Enrique Alvarez; Pearlman, Jay et al. (2023). Evaluation of operational ocean forecasting systems from the perspective of the users and the experts.. (ekstern lenke)
• Gabarró, Carolina; Hughes, Nick; Wilkinson, Jeremy et al. (2023). Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. (ekstern lenke)
• Xie, Jiping; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2023). Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. (ekstern lenke)
• Mangini, Fabio; Bonaduce, Antonio; Chafik, Leon et al. (2023). Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast. (ekstern lenke)
• Umbert, Marta; De-Andrés, Eva; Gonçalves-Araujo, Rafael et al. (2023). Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. (ekstern lenke)
• Mauran, Sophie; Mouysset, Sandrine; Simon, Ehouarn et al. (2023). A Kernel Extension of the Ensemble Transform Kalman Filter. (ekstern lenke)
• Cheng, Sukun; Chen, Yumeng; Aydogdu, Ali et al. (2023). Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020. (ekstern lenke)
• Ying, Yue; Anderson, Jeffrey; Bertino, Laurent (2023). Improving Vortex Position Accuracy with a New Multiscale Alignment Ensemble Filter. (ekstern lenke)
• Martinez, Justino; Gabarró, Carolina; Turiel, Antonio et al. (2022). Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. (ekstern lenke)
• Nakanowatari, Takuya; Xie, Jiping; Bertino, Laurent et al. (2022). Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2022). Super-resolution data assimilation. (ekstern lenke)
• Bilge, Tarkan Aslan; Fournier, Nicolas; Mignac, Davi et al. (2022). An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport. (ekstern lenke)
• Lien, Vidar Surén; Aaboe, Signe; Down, Emily et al. (2022). Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6.. (ekstern lenke)
• Mangini, Fabio; Chafik, Leon Martin; Bonaduce, Antonio et al. (2022). Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography. (ekstern lenke)
• Mangini, Fabio; Chafik, Léon; Madonna, Erica et al. (2021). The relationship between the eddy-driven jet stream and northern European sea level variability. (ekstern lenke)
• Chatterjee, Sourav; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2021). Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.. (ekstern lenke)
• Brajard, Julien; Carrassi, Alberto; Bocquet, Marc et al. (2021). Combining data assimilation and machine learning to infer unresolved scale parametrization. (ekstern lenke)
• Solomon, Amy; Heuzé, Céline; Rabe, Benjamin et al. (2021). Freshwater in the Arctic Ocean 2010-2019. (ekstern lenke)
• Raj, Roshin Pappukutty; Andersen, Ole Baltazar; Johannessen, Johnny Andre et al. (2020). Arctic sea level budget assessment during the GRACE/Argo time period. (ekstern lenke)
• Cheng, Sukun; Aydoğdu, Ali; Rampal, Pierre et al. (2020). Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. (ekstern lenke)
• Schuckmann, K. von; Traon, Pierre-Yves Le; Smith, Neville et al. (2020). Copernicus Marine Service Ocean State Report, issue 4. (ekstern lenke)
• Brajard, Julien; Carrassi, Alberto; Bocquet, Marc et al. (2020). Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent (2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. (ekstern lenke)
• Bocquet, Marc; Brajard, Julien; Carrassi, Alberto et al. (2020). Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. (ekstern lenke)
• Chatterjee, Sourav; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2020). The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. (ekstern lenke)
• Xie, Jiping; Vos, Marc de; Bertino, Laurent et al. (2020). Impact of assimilating altimeter data on eddy characteristics in the South China Sea. (ekstern lenke)
• Raj, Roshin Pappukutty; Chatterjee, Sourav; Bertino, Laurent et al. (2019). The Arctic Front and its variability in the Norwegian Sea. (ekstern lenke)
• Blyverket, Jostein; Hamer, Paul David; Bertino, Laurent et al. (2019). An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US. (ekstern lenke)
• Ali, Alfatih; Christensen, Kai Håkon; Breivik, Øyvind et al. (2019). A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans. (ekstern lenke)
• Xie, Jiping; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2019). Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data. (ekstern lenke)
• Moore, Andrew M.; Martin, Matthew J.; Santha, Akella et al. (2019). Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean. (ekstern lenke)
• Shah, Abhishek; Bertino, Laurent; Counillon, Francois et al. (2019). Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. (ekstern lenke)
• Bocquet, Marc; Brajard, Julien; Carrassi, Alberto et al. (2019). Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Schuler, Thomas et al. (2018). Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. (ekstern lenke)
• Yu, LiuQian; Fennel, Katja; Bertino, Laurent et al. (2018). Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling. (ekstern lenke)
• Chatterjee, Sourav; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2018). Role of Greenland sea gyre circulation on Atlantic water temperature variability in the Fram Strait. (ekstern lenke)
• Nakanowatari, Takuya; Inoue, Jun; Sato, Kazutoshi et al. (2018). Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system. (ekstern lenke)
• Xie, Jiping; Counillon, Francois; Bertino, Laurent (2018). Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. (ekstern lenke)
• Ardhuin, Fabrice; Aksenov, Yevgueny; Benetazzo, Alvise et al. (2018). Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. (ekstern lenke)
• Balibrea-Iniesta, Francisco; Xie, Jiping; Garcia-Garrido, Victor et al. (2018). Lagrangian transport across the upper Arctic waters in the Canadian Basin. (ekstern lenke)
• Raj, Roshin Pappukutty; Nilsen, Jan Even Øie; Johannessen, Johnny Andre et al. (2018). Quantifying Atlantic Water transport to the Nordic Seas by remote sensing. (ekstern lenke)
• Shah, Abhishek; Gharamti, Mohamad El; Bertino, Laurent (2018). Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. (ekstern lenke)
• Xie, Jiping; Bertino, Laurent; Cardellach, Estel et al. (2018). An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks. (ekstern lenke)
• Rabatel, Matthias; Rampal, Pierre; Carrassi, Alberto et al. (2018). Impact of rheology on probabilistic forecasts of sea ice trajectories: Application for search and rescue operations in the Arctic. (ekstern lenke)
• Gharamti, Mohamad El; Samuelsen, Annette; Bertino, Laurent et al. (2017). Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. (ekstern lenke)
• Aksenov, Yevgeny; Popova, Ekaterina E.; Yool, Andrew et al. (2017). On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. (ekstern lenke)
• Gharamti, Mohamad El; Tjiputra, Jerry; Bethke, Ingo et al. (2017). Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. (ekstern lenke)
• Xie, Jiping; Bertino, Laurent; Lisæter, Knut Arild et al. (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. (ekstern lenke)
• George, Mary Swapna; Joseph, Porathur Vareed; Joseph, Kochuparampil Ajith et al. (2017). The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. (ekstern lenke)
• Wickert, Jens; Cardellach, Estel; Martín-Neira, Manuel et al. (2016). GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. (ekstern lenke)
• Lien, Vidar Surén; Hjøllo, Solfrid Sætre; Skogen, Morten D. et al. (2016). An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. (ekstern lenke)
• Xie, Jiping; Counillon, Francois; Bertino, Laurent et al. (2016). Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. (ekstern lenke)
• Wang, Yiguo; Counillon, Francois; Bertino, Laurent (2016). Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. (ekstern lenke)
• Tonani, Maria; Balmaseda, Magdalena; Bertino, Laurent et al. (2015). Status and future of global and regional ocean prediction systems. (ekstern lenke)
• Raanes, Patrick; Carrassi, Alberto; Bertino, Laurent (2015). Extending the square root method to account for additive forecast noise in ensemble methods. (ekstern lenke)
• Gehlen, M.; Barciela, R.; Bertino, Laurent et al. (2015). Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. (ekstern lenke)
• Simon, Ehouarn; Samuelsen, Annette; Bertino, Laurent et al. (2015). Experiences in multiyear combined state-parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter. (ekstern lenke)
• Martin, M.J.; Balmaseda, M.; Bertino, Laurent et al. (2015). Status and future of data assimilation in operational oceanography. (ekstern lenke)
• Xie, Jiping; Zhu, Jiang; Bertino, Laurent et al. (2015). Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. (ekstern lenke)
• Gray, Morgan; Petit, Cyril; Rodionov, Sergey et al. (2014). Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results. (ekstern lenke)
• Johannessen, Johnny Andre; Raj, Roshin Pappukutty; Nilsen, Jan Even Øie et al. (2014). Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Keenlyside, Noel et al. (2014). Seasonal-to-decadal predictions with the ensemble kalman filter and the Norwegian earth System Model: A twin experiment. (ekstern lenke)
• Williams, Timothy; Bennetts, Luke; Squire, Vernon et al. (2013). Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface. (ekstern lenke)
• Williams, Timothy; Bennetts, Luke; Squire, Vernon et al. (2013). Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations. (ekstern lenke)
• Sakov, Pavel; Counillon, Francois; Bertino, Laurent et al. (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. (ekstern lenke)
• Sakov, Pavel; Oliver, Dean; Bertino, Laurent (2012). An Iterative EnKF for Strongly Nonlinear Systems. (ekstern lenke)
• Simon, Ehouarn; Bertino, Laurent (2012). Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. (ekstern lenke)

Faglig foredrag

• Edel, Leo; Xie, Jiping; Korosov, Anton et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Korosov, Anton et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Korosov, Anton et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Bertino, Laurent; Pappukutty, Raj Roshin; Xie, Jiping et al. (2024). Freshwater fluxes from a modeling perspective. (ekstern lenke)
• Bertino, Laurent; Giles, Garric; Huess, Vibeke et al. (2024). White Ocean - Models. Results from 2023, plans for 2024. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2023). Reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2023). A reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Bertino, Laurent; Geyer, Florian (2022). Møt forskere fra Nansen Environmental and Remote Sensing Center på VilVite. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Barthelemy, Sebastien Jean-Claude; Brajard, Julien; Bertino, Laurent et al. (2021). Super-resolution data assimilation. (ekstern lenke)
• Bertino, Laurent (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach. (ekstern lenke)
• Aalstad, Kristoffer; Bertino, Laurent; Westermann, Sebastian (2016). An ensemble-based subgrid snow data assimilation framework. (ekstern lenke)
• Bertino, Laurent; Lien, Vidar Surén (2016). Monitoring & Forecasting Center for Arctic - Acceptance Review. (ekstern lenke)
• Lien, Vidar Surén; Bertino, Laurent; Xie, Jiping et al. (2016). ARCMFC Multi Year Products. (ekstern lenke)
• Lien, Vidar Surén; Bertino, Laurent; Xie, Jiping et al. (2016). ARCMFC CMEMS Annual Operations Review Multi Year Products Coordination. (ekstern lenke)

Vitenskapelig oversiktsartikkel/review

• Stammer, Detlef; Amrhein, Daniel E.; Balmaseda, Magdalena Alonso et al. (2024). Earth System Reanalysis in Support of Climate Model Improvements. (ekstern lenke)
• Smith, Gregory C.; Allard, Richard; Babin, Marcel et al. (2019). Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. (ekstern lenke)
• Fujii, Yosuke; Rémy, Elisabeth; Hao, Zuo et al. (2019). Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks. (ekstern lenke)
• Traon, Pierre-Yves Le; Reppucci, Antonio; Fanjul, Enrique Alvarez et al. (2019). From observation to information and users: The Copernicus Marine Service Perspective. (ekstern lenke)
• Carrassi, Alberto; Bocquet, Marc; Bertino, Laurent et al. (2018). Data assimilation in the geosciences: An overview of methods, issues, and perspectives. (ekstern lenke)
• Bertino, Laurent; Holland, Marika M. (2018). Coupled ice-ocean modeling and predictions. (ekstern lenke)

Poster

• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Bertino, Laurent; Catany, Rafael (2024). Arctic surface salinity in Copernicus Marine Services what happened since October 2023?. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2023). 11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2023). IGS Symposium on Sea Ice. (ekstern lenke)
• Edel, Leo; Xie, Jiping; Brajard, Julien et al. (2023). Reconstruction of Arctic sea ice thickness (1991-2010) based on a hybrid machine learning and data assimilation approach. (ekstern lenke)
• Aalstad, Kristoffer; Alonso-Gonzalez, Esteban; Bazilova, Varvara et al. (2021). Leveraging emerging Earth observations using data assimilation. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Karsten, Logan et al. (2018). Snow history matching in mountainous terrain. (ekstern lenke)
• Raj, Roshin Pappukutty; Nilsen, Jan Even Øie; Johannessen, Johnny Andre et al. (2018). Quantifying Atlantic Water transport to the Nordic Seas by combined use of Gravimetry and Altimetry. (ekstern lenke)
• Ali, Alfatih Omer Mohammed Ahmed; Christensen, Kai Håkon; Breivik, Øyvind et al. (2018). Assessing the impact of surface waves on the North Atlantic and Nordic Seas simulations using HYCOM. (ekstern lenke)
• Blyverket, Jostein; Bertino, Laurent; Hamer, Paul David et al. (2018). Strongly coupled data assimilation (SCDA) of SMOS land surface brightness temperature in WRF using the EnKF. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Schuler, Thomas et al. (2017). Towards High-Resolution SWE Mapping in Permafrost Regions. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent (2016). An ensemble-based snow data assimilation framework. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent (2016). An ensemble-based subgrid snow data assimilation framework. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Boike, Julia et al. (2016). An ensemble-based snow data assimilation framework with applications to permafrost modeling. (ekstern lenke)

Vitenskapelig foredrag

• Barthelemy, Sebastien Jean-Claude; Counillon, Francois Stephane; Brajard, Julien et al. (2024). Hybrid covariance super-resolution data assimilation. (ekstern lenke)
• Bertino, Laurent; Moro, Marina Durán; Befort, Daniel et al. (2024). ACCIBERG - Arctic Cross-Copernicus forecast products for sea ice and icebergs. (ekstern lenke)
• Bertino, Laurent; Brajard, Julien; Olason, Einar et al. (2024). Machine Learning to reduce the costs of ensemble data assimilation in the context of Arctic Ocean forecasting. (ekstern lenke)
• Xie, Jiping; Bertino, Laurent (2023). A new version of the ocean and sea-ice Arctic reanalysis. (ekstern lenke)
• Williams, Timothy; Korosov, Anton; Bertino, Laurent et al. (2023). Status and prospects for the neXtSIM-F CMEMS operational forecast. (ekstern lenke)
• Ying, Yue; Anderson, Jeffery; Bertino, Laurent (2022). Performance of the multiscale alignment ensemble filter in reducing vortex position errors.. (ekstern lenke)
• Xie, Jiping; Bertino, Laurent (2022). TOPAZ4b: a new version of the ocean and sea-ice Arctic reanalysis. (ekstern lenke)
• Xie, Jiping; Raj, Roshin Pappukutty; Bertino, Laurent et al. (2021). Impacts of assimilating Arctic surface sea salinities from SMOS in a coupled ocean and sea ice reanalysis. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Pirk, Norbert et al. (2021). Retrieving fractional snow-covered area from optical satellites using data assimilation. (ekstern lenke)
• Aalstad, Kristoffer; Alonso-Gonzalez, Esteban; Bazilova, Varvara et al. (2021). Unmixing satellite imagery using data assimilation to map snow and albedo. (ekstern lenke)
• Aalstad, Kristoffer; Alonso-Gonzalez, Esteban; Bertino, Laurent et al. (2021). Learning from Earth observations using data assimilation. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Fiddes, Joel et al. (2020). Retrieving, validating, and assimilating fractional snow-covered area from emerging optical satellites for snow reanalysis. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Pirk, Norbert et al. (2020). Constraining land surface models with emerging observations. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Fiddes, Joel et al. (2020). Testing ensemble-based snow reanalysis in the Lakes basin using the ASO. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Fiddes, Joel et al. (2019). Retrieving the depletion of snow-covered area from multiple optical satellite sensors with applications for SWE reanalysis. (ekstern lenke)
• Dallolio, Alberto; Bertino, Laurent; Chrpa, Lukas et al. (2019). Long-duration Autonomy for Open Ocean Exploration. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent et al. (2018). Towards high-resolution Bayesian snow reconstruction in permafrost regions. (ekstern lenke)
• Bertino, Laurent; Rampal, Pierre; Counillon, Francois et al. (2018). Arctic sea ice (and icebergs) in a changing climate. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Karsten, Logan et al. (2018). Ensemble-based reanalysis of the seasonal montane snowpack: Lessons from the ASO. (ekstern lenke)
• Kimmritz, Madlen; Counillon, Francois; Bitz, Cecilia M. et al. (2018). Optimised assimilation of sea ice concentration and implications for climate prediction. (ekstern lenke)
• Samuelsen, Annette; Yumruktepe, Caglar; Wakamatsu, Tsuyoshi et al. (2018). Applications and recent developments of the biogeochemical model in the TOPAZ forecasting system. (ekstern lenke)
• Blyverket, Jostein; Bertino, Laurent; Hamer, Paul David et al. (2018). Assimilation of SMOS Level 2 soil moisture retrievals for improved soil moisture estimates over northern latitudes. (ekstern lenke)
• Blyverket, Jostein; Lahoz, William A.; Hamer, Paul et al. (2018). Towards creating a ESA CCI Level 4 root zone soil moisture product using land surface data assimilation. (ekstern lenke)
• Bertino, Laurent; Xie, Jiping; Samuelsen, Annette et al. (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Schuler, Thomas et al. (2017). Ensemble-based subgrid snow data assimilation. (ekstern lenke)
• Melsom, Arne; Bertino, Laurent; Eastwood, Steinar et al. (2017). Comprehensive validation of sea ice forecasts from a real-time operational ocean-ice model. (ekstern lenke)
• Melsom, Arne; Eastwood, Steinar; Xie, Jiping et al. (2017). Challenges in validating model results for multi-year ice. (ekstern lenke)
• Anderlik, Csaba; Bethke, Ingo; Bentsen, Mats et al. (2017). Hexagon@University of Bergen, Norway. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Schuler, Thomas et al. (2017). Towards High-Resolution SWE Mapping in Permafrost Regions. (ekstern lenke)
• Melsom, Arne; Bertino, Laurent; Burud, Arild (2016). An operational validation system for real-time sea ice concentration forecasts in the Arctic. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent (2016). An ensemble-based subgrid snow data assimilation framework applied to the southern Swiss alps. (ekstern lenke)
• Sagen, Hanne; Bertino, Laurent; Xie, Jiping (2015). Uncertainties in ocean modeling results. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Wang, Yiguo et al. (2014). Seasonal-to-decadal prediction with NorCPM. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Wang, Yiguo et al. (2014). Seasonal to decadal prediction with NorCPM. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Keenlyside, Noel et al. (2014). Seasonal to decadal prediction with NorCPM. (ekstern lenke)
• Bertino, Laurent; Jaccard, Pierre Franqois (2013). TUTORIAL 3 Operational Oceanography. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Keenlyside, Noel et al. (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment. (ekstern lenke)
• Counillon, Francois; Bethke, Ingo; Keenlyside, Noel et al. (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment. (ekstern lenke)

Rapport

• Challet, François; Geyer, Florian; Bertino, Laurent et al. (2022). Oceanography of the Fram Strait - Improving general understanding and modelsthrough the use of mooring interpolation products. (ekstern lenke)
• Traon, Pierre-Yves Le; Abadie, V.; Ali, A. et al. (2021). Summary of 57th Mercator Ocean Journal Issue: Copernicus Marine Service Achievements 2015 - 2021. (ekstern lenke)
• Bertino, Laurent; Lavergne, Thomas; Gauss, Michael et al. (2020). Kepler Deliverable Report D5.1:Synthesis on the visions of the evolution of the Copernicus services.. (ekstern lenke)
• Pettersson, Lasse H; Bertino, Laurent; Johannessen, Johnny Andre (2020). Copernicus marine tjenester og Miljødirektoratets Økokyst- og Havforsuringsprogrammer.. (ekstern lenke)
• Bertino, Laurent; Williams, Timothy; Babiker, Mohamed et al. (2017). SWARP - Ships and Wawes Reaching Polar Regions. D5.1 Validation Reports. (ekstern lenke)
• Bertino, Laurent; Hjøllo, Bjørn Åge (2017). SWARP - Ships and Wawes Reaching Polar Regions. D7.4 Business plan beyond the project duration. (ekstern lenke)
• Billeau, Sebastien; Counillon, Francois; Keenlyside, Noel et al. (2016). IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED. (ekstern lenke)
• Geyer, Florian; Bertino, Laurent (2014). Projected ice conditions in the East Siberian Sea. Deliverable 2 report. Terra Orbit AS Technical Report no. 01/2014.. (ekstern lenke)
• Renkl, Christoph; Counillon, Francois; Bertino, Laurent (2014). Validation of the 20-year TOPAZ4 Reanalysis. (ekstern lenke)
• Finck, Nicolas; Counillon, Francois; Bertino, Laurent et al. (2013). Validation of sea ice quantities of TOPAZ for the period 1990-2010. (ekstern lenke)
• Geyer, Florian; Ivanova, Natalia; Bertino, Laurent (2013). Projected ice conditions in the East Siberian Sea. Deliverable 1 report. Terra Orbit AS Technical Report no. 01/2013.. (ekstern lenke)
• Johansson, Niklas; Wiberg, Karin; Bertino, Laurent et al. (2013). Evaluation of "Tilførselsprogrammet" - Programme for monitoring and modelling of contaminant loads and levels in Norwegian marine areas. (ekstern lenke)
• Bertino, Laurent; Counillon, Francois; Sakov, Pavel et al. (2012). Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. (ekstern lenke)

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

• Mangini, Fabio; Bonaduce, Antonio; Chafik, L. et al. (2022). Detection and attribution of manometric sea-level variations along the Norwegiancoast osing GRACE mascon solutions.. (ekstern lenke)
• Aksenov, Yevgeny; Rynders, Stefanie; Feltham, Danny L. et al. (2022). Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. (ekstern lenke)
• Bertino, Laurent; Blockley, Ed; Johannessen, Johnny Andre et al. (2022). Sea Ice Modelling. (ekstern lenke)
• Gutkneckt, Elodie; Bertino, Laurent; Brasseur, Pierre et al. (2022). Biogeochemical Modelling. (ekstern lenke)
• Bertino, Laurent; Ali, A.; Carrasco, Ana et al. (2021). The Arctic marine forecasting center in the first Copernicus period. (ekstern lenke)
• Bertino, Laurent; Xie, Jiping (2020). Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. (ekstern lenke)
• Brajard, Julien; Bocquet, Mark; Carrassi, Alberto et al. (2019). Connections between data assimilation and machine learning to emulate a numerical model.. (ekstern lenke)
• Buehner, Mark; Bertino, Laurent; Caya, Alain et al. (2017). Sea ice data assimilation. (ekstern lenke)
• Carrieres, Tom; Caya, Alain; Posey, Pam et al. (2017). Automated Sea Ice Prediction Systems. (ekstern lenke)
• Hackett, Bruce; Bertino, Laurent; Breivik, Lars-Anders et al. (2014). Monitoring and forecasting the Arctic Ocean: Norway and MyOcean. (ekstern lenke)
• Sandven, Stein; Sagen, Hanne; Bertino, Laurent et al. (2014). The Fram Strait integrated observing and modelling system. (ekstern lenke)

Doktorgradsavhandling

• Mangini, Fabio; Bertino, Laurent; Nilsen, Jan Even Øie et al. (2022). Sea-level change over the northern European continental shelf due to atmospheric and oceanic contributions. (ekstern lenke)
• Aalstad, Kristoffer; Westermann, Sebastian; Bertino, Laurent (2019). Ensemble-based retrospective analysis of the seasonal snowpack. (ekstern lenke)
• Shah, Abhishek; Bertino, Laurent; Skaug, Hans J. (2019). Stochastic data assimilation of observations with a detection limit. (ekstern lenke)
• Raanes, Patrick; Bertino, Laurent; Evensen, Geir et al. (2015). Improvements to Ensemble Methods for Data Assimilation in the Geosciences. (ekstern lenke)
• George, Mary Swapna; Johannessen, Ola M; Bertino, Laurent (2015). Modelling and observations of upwelling along the southwest coast of India and its intrusion into the Bay of Bengal, during summer monsoon. (ekstern lenke)

Intervju

• Bertino, Laurent (2022). Skip kan få langtidsvarsel for sjøis. (ekstern lenke)
• Bertino, Laurent (2022). Skip kan få langtidsvarsel for sjøis. (ekstern lenke)
• Bertino, Laurent (2022). Skal varsle sjøis. (ekstern lenke)
• Bertino, Laurent (2021). Une équipe de l’UQAR s'intéresse à une lettre qui proviendrait du Titanic (UQAR team takes an interest in a letter believed to have come from the Titanic). (ekstern lenke)
• Bertino, Laurent (2021). Letters sent from the Titanc to researchers in Rimouski?. (ekstern lenke)
• Bertino, Laurent (2018). “Last Sea Ice Area” in the Arctic Breaks Up. (ekstern lenke)
• Bertino, Laurent (2018). Slik vet vi at satellittene måler riktig. (ekstern lenke)
• Bertino, Laurent (2016). - Før var utfordringen tykk is, nå er det drivende is. (ekstern lenke)
• Bertino, Laurent (2016). - Før var utfordringen tykk is, nå er det drivende is. (ekstern lenke)
• Bertino, Laurent (2016). - Før var utfordringen tykk is, nå er det drivende is. (ekstern lenke)

Faglig kapittel

• Simoncelli, S.; Masina, S.; Axell, L. et al. (2016). MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. (ekstern lenke)

Se en full oversikt over publikasjoner i Cristin