Academic article

• Jiping Xie; Yue Ying; Richard Alan John Davy et al. (2026). Impact of data assimilation on Arctic sea-ice thickness variability and its coupling with atmospheric forcing. (external link)
• Giovanni Macelloni; Kenneth C. Jezek; Marco Brogioni et al. (2026). Wideband Radiometry From P to S Band for Monitoring Polar Regions. (external link)
• Charlotte Durand; Tobias Sebastian Finn; Alban Farchi et al. (2025). Four-dimensional variational data assimilation with a sea-ice thickness emulator. (external link)
• Fernando Mendonça; Flávio Martins; Laurent Bertino (2025). Design of an Observing System Simulation Experiment for the Operational Model of the Southwestern Coast of Iberia (SOMA). (external link)
• Aina Garcia-Espriu; Veronica Gonzalez-Gambau; Estrella Olmedo et al. (2026). ESA Arctic+ Salinity Product v4: Enhanced Retrievals Near the Ice-Edge.. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Thomas Schuler et al. (2018). Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. (external link)
• Jelmer Jeuring; Eirik Mikal Samuelsen; Machiel Lamers et al. (2024). Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios. (external link)
• Mary Swapna George; Laurent Bertino; Ola M Johannessen et al. (2010). Validation of a hybrid coordinate ocean model for the Indian Ocean. (external link)
• Roshin Pappukutty Raj; Sourav Chatterjee; Laurent Bertino et al. (2019). The Arctic Front and its variability in the Norwegian Sea. (external link)
• Jostein Blyverket; Paul David Hamer; Laurent Bertino 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. (external link)
• Roshin Pappukutty Raj; Ole Baltazar Andersen; Johnny Andre Johannessen et al. (2020). Arctic sea level budget assessment during the GRACE/Argo time period. (external link)
• Stefania A. Ciliberti; Enrique Alvarez Fanjul; Jay Pearlman et al. (2023). Evaluation of operational ocean forecasting systems from the perspective of the users and the experts.. (external link)
• Maria Tonani; Magdalena Balmaseda; Laurent Bertino et al. (2015). Status and future of global and regional ocean prediction systems. (external link)
• Yumeng Chen; Polly Smith; Alberto Carrassi et al. (2024). Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology. (external link)
• Carolina Gabarró; Nick Hughes; Jeremy Wilkinson et al. (2023). Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. (external link)
• Pavel Sakov; Francois Counillon; Laurent Bertino et al. (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. (external link)
• Pierre Brasseur; Pierre Bahurel; Laurent Bertino et al. (2006). Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. (external link)
• Alfatih Ali; Kai Håkon Christensen; Øyvind Breivik et al. (2019). A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans. (external link)
• Leo Edel; Jiping Xie; Anton Korosov et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• LiuQian Yu; Katja Fennel; Laurent Bertino et al. (2018). Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling. (external link)
• Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino et al. (2018). Role of Greenland sea gyre circulation on Atlantic water temperature variability in the Fram Strait. (external link)
• Patrick Raanes; Alberto Carrassi; Laurent Bertino (2015). Extending the square root method to account for additive forecast noise in ensemble methods. (external link)
• Jiping Xie; Roshin Pappukutty Raj; Laurent Bertino 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. (external link)
• M. Gehlen; R. Barciela; Laurent Bertino et al. (2015). Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. (external link)
• Pavel Sakov; Dean Oliver; Laurent Bertino (2012). An Iterative EnKF for Strongly Nonlinear Systems. (external link)
• Takuya Nakanowatari; Jun Inoue; Kazutoshi Sato 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. (external link)
• S. Ciavatta; P. Lazzari; E. Alvarez et al. (2025). Control of simulated ocean ecosystem indicators by biogeochemical observations. (external link)
• Hervé Chauris; Irène Karoui; P Garreau et al. (2011). The circlet transform: A robust tool for detecting features with circular shapes. (external link)
• Sukun Cheng; Ali Aydoğdu; Pierre Rampal et al. (2020). Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. (external link)
• Jiping Xie; Francois Counillon; Laurent Bertino (2018). Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. (external link)
• Morgan Gray; Cyril Petit; Sergey Rodionov 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. (external link)
• Andrew M. Moore; Matthew J. Martin; Akella Santha 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. (external link)
• Fabrice Ardhuin; Yevgueny Aksenov; Alvise Benetazzo et al. (2018). Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. (external link)
• K. von Schuckmann; Pierre-Yves Le Traon; Neville Smith et al. (2020). Copernicus Marine Service Ocean State Report, issue 4. (external link)
• Francois Counillon; Pavel Sakov; Laurent Bertino (2009). Application of a hybrid EnKF-OI to ocean forecasting. (external link)
• Julien Brajard; Alberto Carrassi; Marc Bocquet 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. (external link)
• E Dombrowsky; Laurent Bertino; GB Brassington et al. (2009). GODAE Systems in Operation. (external link)
• Francois Counillon; Laurent Bertino (2009). High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. (external link)
• A Srinivasan; EP Chassignet; Laurent Bertino et al. (2011). A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. (external link)
• O Leeuwenburgh; Geir Evensen; Laurent Bertino (2005). The impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacific. (external link)
• Svetlana Milutinovic; Laurent Bertino (2011). Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. (external link)
• Pavel Sakov; Laurent Bertino (2011). Relation between two common localisation methods for the EnKF. (external link)
• K Haines; Johnny Andre Johannessen; P Knudsen et al. (2011). An ocean modelling and assimilation guide to using GOCE geoid products. (external link)
• Annette Samuelsen; Laurent Bertino; Cecilie Hansen (2009). Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic. (external link)
• J Cummings; Laurent Bertino; P Brasseur et al. (2009). OCEAN DATA ASSIMILATION SYSTEMS FOR GODAE. (external link)
• LY Wan; J Zhu; H Wang et al. (2009). A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. (external link)
• Bjørn Backeberg; Johnny Andre Johannessen; Laurent Bertino et al. (2008). The greater Agulhas Current system: An integrated study of its mesoscale variability. (external link)
• Francois Counillon; Laurent Bertino (2009). Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. (external link)
• LY Wan; J Zhu; Laurent Bertino et al. (2008). Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. (external link)
• Dany Dumont; A Kohout; Laurent Bertino (2011). A wave-based model for the marginal ice zone including a floe breaking parameterization. (external link)
• F Hernandez; Laurent Bertino; G Brassington et al. (2009). Validation and Intercomparison Studies Within GODAE. (external link)
• Fabio Mangini; Léon Chafik; Erica Madonna et al. (2021). The relationship between the eddy-driven jet stream and northern European sea level variability. (external link)
• Jiping Xie; Roshin Pappukutty Raj; Laurent Bertino et al. (2023). Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. (external link)
• Laurent Bertino; Knut Arild Lisæter (2008). The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. (external link)
• Jiping Xie; Francois Counillon; Jiang Zhu et al. (2011). An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. (external link)
• Ehouarn Simon; Laurent Bertino (2012). Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. (external link)
• Francisco Balibrea-Iniesta; Jiping Xie; Victor Garcia-Garrido et al. (2018). Lagrangian transport across the upper Arctic waters in the Canadian Basin. (external link)
• Justino Martinez; Carolina Gabarró; Antonio Turiel et al. (2022). Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. (external link)
• Takuya Nakanowatari; Jiping Xie; Laurent Bertino et al. (2022). Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. (external link)
• Intissar Keghouche; Francois Counillon; Laurent Bertino (2010). Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. (external link)
• Cyril Palerme; Thomas Lavergne; Jozef Rusin et al. (2024). Improving short-term sea ice concentration forecasts using deep learning. (external link)
• Roshin Pappukutty Raj; Jan Even Øie Nilsen; Johnny Andre Johannessen et al. (2018). Quantifying Atlantic Water transport to the Nordic Seas by remote sensing. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2022). Super-resolution data assimilation. (external link)
• Liying Wan; Laurent Bertino; Jiang Zhu (2010). Assimilating Altimetry Data into a HYCOM Model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. (external link)
• Johnny Andre Johannessen; Roshin Pappukutty Raj; Jan Even Øie Nilsen et al. (2014). Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. (external link)
• Fabio Mangini; Antonio Bonaduce; Leon Chafik et al. (2023). Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast. (external link)
• Tarkan Aslan Bilge; Nicolas Fournier; Davi Mignac et al. (2022). An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport. (external link)
• Pavel Sakov; Geir Evensen; Laurent Bertino (2010). Asynchronous data assimilation with the EnKF. (external link)
• Marc Bocquet; Julien Brajard; Alberto Carrassi et al. (2020). Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. (external link)
• Ehouarn Simon; Annette Samuelsen; Laurent Bertino 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. (external link)
• Jens Wickert; Estel Cardellach; Manuel Martín-Neira et al. (2016). GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. (external link)
• Vidar Surén Lien; Signe Aaboe; Emily Down et al. (2022). Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6.. (external link)
• Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino et al. (2020). The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. (external link)
• Mohamad El Gharamti; Annette Samuelsen; Laurent Bertino et al. (2017). Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. (external link)
• M.J. Martin; M. Balmaseda; Laurent Bertino et al. (2015). Status and future of data assimilation in operational oceanography. (external link)
• Yevgeny Aksenov; Ekaterina E. Popova; Andrew Yool et al. (2017). On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. (external link)
• Marta Umbert; Eva De-Andrés; Rafael Gonçalves-Araujo et al. (2023). Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. (external link)
• Sophie Mauran; Sandrine Mouysset; Ehouarn Simon et al. (2023). A Kernel Extension of the Ensemble Transform Kalman Filter. (external link)
• Intissar Keghouche; Laurent Bertino; Knut Arild Lisæter (2009). Parameterization of an Iceberg Drift Model in the Barents Sea. (external link)
• Mohamad El Gharamti; Jerry Tjiputra; Ingo Bethke et al. (2017). Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. (external link)
• Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino et al. (2021). Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.. (external link)
• Vidar Surén Lien; Solfrid Sætre Hjøllo; Morten D. Skogen et al. (2016). An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. (external link)
• Marina Durán Moro; Ann Kristin Sperrevik; Thomas Lavergne et al. (2024). Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model. (external link)
• Abhishek Shah; Laurent Bertino; Francois Counillon et al. (2019). Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. (external link)
• Ehouarn Simon; Annette Samuelsen; Laurent Bertino et al. (2012). Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment. (external link)
• Arne Melsom; Francois Counillon; Joseph Henry Lacasce et al. (2012). Forecasting search areas using ensemble ocean circulation modeling. (external link)
• Jiping Xie; Laurent Bertino; Knut Arild Lisæter et al. (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. (external link)
• Abhishek Shah; Mohamad El Gharamti; Laurent Bertino (2018). Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. (external link)
• Jiping Xie; Marc de Vos; Laurent Bertino et al. (2020). Impact of assimilating altimeter data on eddy characteristics in the South China Sea. (external link)
• Matthew J. Martin; Ibrahim Hoteit; Laurent Pierre Vincent Bertino et al. (2025). Data assimilation schemes for ocean forecasting: state of the art.. (external link)
• Timothy Williams; Luke Bennetts; Vernon Squire 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. (external link)
• Timothy Williams; Luke Bennetts; Vernon Squire et al. (2013). Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations. (external link)
• Joanna S. Pelc; Ehouarn Simon; Laurent Bertino et al. (2012). Application of model reduced 4D-Var to a 1D ecosystem model. (external link)
• Laurent Pierre Vincent Bertino; Patrick Heimback; Ed Blockley et al. (2025). Numerical models for monitoring and forecasting sea ice: a short description of present status. (external link)
• Marc Bocquet; Julien Brajard; Alberto Carrassi et al. (2019). Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. (external link)
• Jiping Xie; Jiang Zhu; Laurent Bertino et al. (2015). Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. (external link)
• Mary Swapna George; Porathur Vareed Joseph; Kochuparampil Ajith Joseph et al. (2017). The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. (external link)

Doctoral thesis (PhD)

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

Academic book chapter

• Mark Buehner; Laurent Bertino; Alain Caya et al. (2017). Sea ice data assimilation. (external link)
• Laurent Bertino; Jiping Xie (2020). Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. (external link)
• Tom Carrieres; Alain Caya; Pam Posey et al. (2017). Automated Sea Ice Prediction Systems. (external link)
• Fabio Mangini; Antonio Bonaduce; L. Chafik et al. (2022). Detection and attribution of manometric sea-level variations along the Norwegiancoast osing GRACE mascon solutions.. (external link)
• Yevgeny Aksenov; Stefanie Rynders; Danny L. Feltham et al. (2022). Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. (external link)
• Bruce Hackett; Laurent Bertino; Lars-Anders Breivik et al. (2014). Monitoring and forecasting the Arctic Ocean: Norway and MyOcean. (external link)
• Stein Sandven; Hanne Sagen; Laurent Bertino et al. (2014). The Fram Strait integrated observing and modelling system. (external link)

Academic literature review

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

Lecture

• Leo Edel; Jiping Xie; Julien Brajard et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Laurent Bertino (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2021). Super-resolution data assimilation. (external link)
• Leo Edel; Jiping Xie; Anton Korosov et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Leo Edel; Jiping Xie; Anton Korosov et al. (2025). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Leo Edel; Jiping Xie; Anton Korosov et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). Reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). A reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Laurent Bertino; Florian Geyer (2022). Møt forskere fra Nansen Environmental and Remote Sensing Center på VilVite. (external link)
• Laurent Bertino; Raj Roshin Pappukutty; Jiping Xie et al. (2024). Freshwater fluxes from a modeling perspective. (external link)
• Kristoffer Aalstad; Laurent Bertino; Sebastian Westermann (2016). An ensemble-based subgrid snow data assimilation framework. (external link)
• Laurent Pierre Vincent Bertino (1975). ACCIBERG: Iceberg forecasting demonstration on the European Digital Twin of the Ocean. (external link)
• Laurent Pierre Vincent Bertino (1975). Sea ice reanalyses. (external link)

Media interview

• Laurent Bertino (2018). “Last Sea Ice Area” in the Arctic Breaks Up. (external link)
• Laurent Bertino (2018). Slik vet vi at satellittene måler riktig. (external link)
• Laurent Bertino (2016). - Før var utfordringen tykk is, nå er det drivende is. (external link)
• Laurent Bertino (2016). - Før var utfordringen tykk is, nå er det drivende is. (external link)
• Laurent Bertino (2016). - Før var utfordringen tykk is, nå er det drivende is. (external link)
• Laurent Bertino (2022). Skip kan få langtidsvarsel for sjøis. (external link)

Research report

• Laurent Bertino; Knut Arild Lisæther; Sigrid Lind Johansen et al. (2009). D4.2-03- Description of assimilation schemes, updated plan for assimilation experiments of data from into TOPAZ-3. (external link)
• Nicolas Finck; Francois Counillon; Laurent Bertino et al. (2013). Validation of sea ice quantities of TOPAZ for the period 1990-2010. (external link)
• Florian Geyer; Laurent Bertino (2014). Projected ice conditions in the East Siberian Sea. Deliverable 2 report. Terra Orbit AS Technical Report no. 01/2014.. (external link)
• François Challet; Florian Geyer; Laurent Bertino et al. (2022). Oceanography of the Fram Strait - Improving general understanding and modelsthrough the use of mooring interpolation products. (external link)
• Florian Geyer; Natalia Ivanova; Laurent Bertino (2013). Projected ice conditions in the East Siberian Sea. Deliverable 1 report. Terra Orbit AS Technical Report no. 01/2013.. (external link)
• Christoph Renkl; Francois Counillon; Laurent Bertino (2014). Validation of the 20-year TOPAZ4 Reanalysis. (external link)
• Laurent Bertino; Geir Evensen; Pavel Sakov et al. (2009). Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). (external link)
• Laurent Bertino; Timothy Williams; Mohamed Babiker et al. (2017). SWARP - Ships and Wawes Reaching Polar Regions. D5.1 Validation Reports. (external link)
• Laurent Bertino; Thomas Lavergne; Michael Gauss et al. (2020). Kepler Deliverable Report D5.1:Synthesis on the visions of the evolution of the Copernicus services.. (external link)
• Laurent Bertino; Bjørn Åge Hjøllo (2017). SWARP - Ships and Wawes Reaching Polar Regions. D7.4 Business plan beyond the project duration. (external link)
• Hanne Sagen; Stein Sandven; Sigrid Lind Johansen et al. (2008). Preparing for assimilation of acoustic data into a ice-ocean coupled model using EnKF. NERSC Technical report no. 299. (external link)
• Niklas Johansson; Karin Wiberg; Laurent Bertino et al. (2013). Evaluation of "Tilførselsprogrammet" - Programme for monitoring and modelling of contaminant loads and levels in Norwegian marine areas. (external link)
• Pierre-Yves Le Traon; V. Abadie; A. Ali et al. (2021). Summary of 57th Mercator Ocean Journal Issue: Copernicus Marine Service Achievements 2015 - 2021. (external link)
• Laurent Bertino; Francois Counillon; Pavel Sakov et al. (2012). Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. (external link)
• Ehouarn Simon; Sturla F Kvamsdal; J Bojarova et al. (2011). Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). (external link)
• Sebastien Billeau; Francois Counillon; Noel Keenlyside et al. (2016). IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED. (external link)

Conference lecture

• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino et al. (2018). Towards high-resolution Bayesian snow reconstruction in permafrost regions. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Joel Fiddes et al. (2019). Retrieving the depletion of snow-covered area from multiple optical satellite sensors with applications for SWE reanalysis. (external link)
• Laurent Bertino; Pierre Rampal; Francois Counillon et al. (2018). Arctic sea ice (and icebergs) in a changing climate. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Logan Karsten et al. (2018). Ensemble-based reanalysis of the seasonal montane snowpack: Lessons from the ASO. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Thomas Schuler et al. (2017). Ensemble-based subgrid snow data assimilation. (external link)
• Madlen Kimmritz; Francois Counillon; Cecilia M. Bitz et al. (2018). Optimised assimilation of sea ice concentration and implications for climate prediction. (external link)
• Laurent Bertino; Pierre Franqois Jaccard (2013). TUTORIAL 3 Operational Oceanography. (external link)
• Yue Ying; Jeffery Anderson; Laurent Bertino (2022). Performance of the multiscale alignment ensemble filter in reducing vortex position errors.. (external link)
• Francois Counillon; Ingo Bethke; Yiguo Wang et al. (2014). Seasonal-to-decadal prediction with NorCPM. (external link)
• Jiping Xie; Laurent Bertino (2023). A new version of the ocean and sea-ice Arctic reanalysis. (external link)
• Timothy Williams; Anton Korosov; Laurent Bertino et al. (2023). Status and prospects for the neXtSIM-F CMEMS operational forecast. (external link)
• Arne Melsom; Laurent Bertino; Steinar Eastwood et al. (2017). Comprehensive validation of sea ice forecasts from a real-time operational ocean-ice model. (external link)
• Francois Counillon; Ingo Bethke; Yiguo Wang et al. (2014). Seasonal to decadal prediction with NorCPM. (external link)
• Francois Counillon; Ingo Bethke; Noel Keenlyside et al. (2014). Seasonal to decadal prediction with NorCPM. (external link)
• Hanne Sagen; Laurent Bertino; Jiping Xie (2015). Uncertainties in ocean modeling results. (external link)
• Jiping Xie; Laurent Bertino (2022). TOPAZ4b: a new version of the ocean and sea-ice Arctic reanalysis. (external link)
• Jiping Xie; Roshin Pappukutty Raj; Laurent Bertino et al. (2021). Impacts of assimilating Arctic surface sea salinities from SMOS in a coupled ocean and sea ice reanalysis. (external link)
• Alberto Dallolio; Laurent Bertino; Lukas Chrpa et al. (2019). Long-duration Autonomy for Open Ocean Exploration. (external link)
• Laurent Bertino (2010). Challenges and capabilities of data assimilation. (external link)
• Annette Samuelsen; Caglar Yumruktepe; Tsuyoshi Wakamatsu et al. (2018). Applications and recent developments of the biogeochemical model in the TOPAZ forecasting system. (external link)
• Sebastien Jean-Claude Barthelemy; Francois Stephane Counillon; Julien Brajard et al. (2024). Hybrid covariance super-resolution data assimilation. (external link)
• Jostein Blyverket; Laurent Bertino; Paul David Hamer et al. (2018). Assimilation of SMOS Level 2 soil moisture retrievals for improved soil moisture estimates over northern latitudes. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Norbert Pirk et al. (2021). Retrieving fractional snow-covered area from optical satellites using data assimilation. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Joel Fiddes et al. (2020). Retrieving, validating, and assimilating fractional snow-covered area from emerging optical satellites for snow reanalysis. (external link)
• Jostein Blyverket; William A. Lahoz; Paul Hamer et al. (2018). Towards creating a ESA CCI Level 4 root zone soil moisture product using land surface data assimilation. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Norbert Pirk et al. (2020). Constraining land surface models with emerging observations. (external link)
• Arne Melsom; Steinar Eastwood; Jiping Xie et al. (2017). Challenges in validating model results for multi-year ice. (external link)
• Laurent Bertino; Jiping Xie; Annette Samuelsen et al. (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach. (external link)
• Arne Melsom; Laurent Bertino; Arild Burud (2016). An operational validation system for real-time sea ice concentration forecasts in the Arctic. (external link)
• Francois Counillon; Ingo Bethke; Noel Keenlyside et al. (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment. (external link)

Conference poster

• Svetlana Milutinovic; Laurent Bertino (2010). Assessment and propagation of uncertainties in input terms through the Vertically Generalized Productivity Model. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Logan Karsten et al. (2018). Snow history matching in mountainous terrain. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2024). Reconstruction of Arctic sea ice thickness (1992-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). 11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). IGS Symposium on Sea Ice. (external link)
• Roshin Pappukutty Raj; Jan Even Øie Nilsen; Johnny Andre Johannessen et al. (2018). Quantifying Atlantic Water transport to the Nordic Seas by combined use of Gravimetry and Altimetry. (external link)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). Reconstruction of Arctic sea ice thickness (1991-2010) based on a hybrid machine learning and data assimilation approach. (external link)
• Alfatih Omer Mohammed Ahmed Ali; Kai Håkon Christensen; Øyvind Breivik et al. (2018). Assessing the impact of surface waves on the North Atlantic and Nordic Seas simulations using HYCOM. (external link)
• Jostein Blyverket; Laurent Bertino; Paul David Hamer et al. (2018). Strongly coupled data assimilation (SCDA) of SMOS land surface brightness temperature in WRF using the EnKF. (external link)
• Kristoffer Aalstad; Esteban Alonso-Gonzalez; Varvara Bazilova et al. (2021). Leveraging emerging Earth observations using data assimilation. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2016). An ensemble-based snow data assimilation framework. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2016). An ensemble-based subgrid snow data assimilation framework. (external link)
• Kristoffer Aalstad; Sebastian Westermann; Julia Boike et al. (2016). An ensemble-based snow data assimilation framework with applications to permafrost modeling. (external link)

Non-fiction book chapter

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

See a complete overview of publications in NVA.