Vitenskapelig artikkel

• 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. (ekstern lenke)
• Giovanni Macelloni; Kenneth C. Jezek; Marco Brogioni et al. (2026). Wideband Radiometry From P to S Band for Monitoring Polar Regions. (ekstern lenke)
• Charlotte Durand; Tobias Sebastian Finn; Alban Farchi et al. (2025). Four-dimensional variational data assimilation with a sea-ice thickness emulator. (ekstern lenke)
• 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). (ekstern lenke)
• Aina Garcia-Espriu; Veronica Gonzalez-Gambau; Estrella Olmedo et al. (2026). ESA Arctic+ Salinity Product v4: Enhanced Retrievals Near the Ice-Edge.. (ekstern lenke)
• 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. (ekstern lenke)
• Jelmer Jeuring; Eirik Mikal Samuelsen; Machiel Lamers et al. (2024). Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios. (ekstern lenke)
• Mary Swapna George; Laurent Bertino; Ola M Johannessen et al. (2010). Validation of a hybrid coordinate ocean model for the Indian Ocean. (ekstern lenke)
• Roshin Pappukutty Raj; Sourav Chatterjee; Laurent Bertino et al. (2019). The Arctic Front and its variability in the Norwegian Sea. (ekstern lenke)
• 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. (ekstern lenke)
• Roshin Pappukutty Raj; Ole Baltazar Andersen; Johnny Andre Johannessen et al. (2020). Arctic sea level budget assessment during the GRACE/Argo time period. (ekstern lenke)
• 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.. (ekstern lenke)
• Maria Tonani; Magdalena Balmaseda; Laurent Bertino et al. (2015). Status and future of global and regional ocean prediction systems. (ekstern lenke)
• 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. (ekstern lenke)
• Carolina Gabarró; Nick Hughes; Jeremy Wilkinson et al. (2023). Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. (ekstern lenke)
• Pavel Sakov; Francois Counillon; Laurent Bertino et al. (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Patrick Raanes; Alberto Carrassi; Laurent Bertino (2015). Extending the square root method to account for additive forecast noise in ensemble methods. (ekstern lenke)
• 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. (ekstern lenke)
• M. Gehlen; R. Barciela; Laurent Bertino et al. (2015). Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. (ekstern lenke)
• Pavel Sakov; Dean Oliver; Laurent Bertino (2012). An Iterative EnKF for Strongly Nonlinear Systems. (ekstern lenke)
• 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. (ekstern lenke)
• S. Ciavatta; P. Lazzari; E. Alvarez et al. (2025). Control of simulated ocean ecosystem indicators by biogeochemical observations. (ekstern lenke)
• Hervé Chauris; Irène Karoui; P Garreau et al. (2011). The circlet transform: A robust tool for detecting features with circular shapes. (ekstern lenke)
• 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. (ekstern lenke)
• Jiping Xie; Francois Counillon; Laurent Bertino (2018). Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• K. von Schuckmann; Pierre-Yves Le Traon; Neville Smith et al. (2020). Copernicus Marine Service Ocean State Report, issue 4. (ekstern lenke)
• Francois Counillon; Pavel Sakov; Laurent Bertino (2009). Application of a hybrid EnKF-OI to ocean forecasting. (ekstern lenke)
• 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. (ekstern lenke)
• E Dombrowsky; Laurent Bertino; GB Brassington et al. (2009). GODAE Systems in Operation. (ekstern lenke)
• Francois Counillon; Laurent Bertino (2009). High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. (ekstern lenke)
• 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. (ekstern lenke)
• O Leeuwenburgh; Geir Evensen; Laurent Bertino (2005). The impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacific. (ekstern lenke)
• Svetlana Milutinovic; Laurent Bertino (2011). Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. (ekstern lenke)
• Pavel Sakov; Laurent Bertino (2011). Relation between two common localisation methods for the EnKF. (ekstern lenke)
• K Haines; Johnny Andre Johannessen; P Knudsen et al. (2011). An ocean modelling and assimilation guide to using GOCE geoid products. (ekstern lenke)
• 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. (ekstern lenke)
• J Cummings; Laurent Bertino; P Brasseur et al. (2009). OCEAN DATA ASSIMILATION SYSTEMS FOR GODAE. (ekstern lenke)
• LY Wan; J Zhu; H Wang et al. (2009). A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. (ekstern lenke)
• Bjørn Backeberg; Johnny Andre Johannessen; Laurent Bertino et al. (2008). The greater Agulhas Current system: An integrated study of its mesoscale variability. (ekstern lenke)
• Francois Counillon; Laurent Bertino (2009). Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. (ekstern lenke)
• LY Wan; J Zhu; Laurent Bertino et al. (2008). Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. (ekstern lenke)
• Dany Dumont; A Kohout; Laurent Bertino (2011). A wave-based model for the marginal ice zone including a floe breaking parameterization. (ekstern lenke)
• F Hernandez; Laurent Bertino; G Brassington et al. (2009). Validation and Intercomparison Studies Within GODAE. (ekstern lenke)
• Fabio Mangini; Léon Chafik; Erica Madonna et al. (2021). The relationship between the eddy-driven jet stream and northern European sea level variability. (ekstern lenke)
• 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. (ekstern lenke)
• Laurent Bertino; Knut Arild Lisæter (2008). The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. (ekstern lenke)
• 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. (ekstern lenke)
• Ehouarn Simon; Laurent Bertino (2012). Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. (ekstern lenke)
• Francisco Balibrea-Iniesta; Jiping Xie; Victor Garcia-Garrido et al. (2018). Lagrangian transport across the upper Arctic waters in the Canadian Basin. (ekstern lenke)
• Justino Martinez; Carolina Gabarró; Antonio Turiel et al. (2022). Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. (ekstern lenke)
• 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. (ekstern lenke)
• Intissar Keghouche; Francois Counillon; Laurent Bertino (2010). Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. (ekstern lenke)
• Cyril Palerme; Thomas Lavergne; Jozef Rusin et al. (2024). Improving short-term sea ice concentration forecasts using deep learning. (ekstern lenke)
• Roshin Pappukutty Raj; Jan Even Øie Nilsen; Johnny Andre Johannessen et al. (2018). Quantifying Atlantic Water transport to the Nordic Seas by remote sensing. (ekstern lenke)
• Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino et al. (2022). Super-resolution data assimilation. (ekstern lenke)
• Liying Wan; Laurent Bertino; Jiang Zhu (2010). Assimilating Altimetry Data into a HYCOM Model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Pavel Sakov; Geir Evensen; Laurent Bertino (2010). Asynchronous data assimilation with the EnKF. (ekstern lenke)
• Marc Bocquet; Julien Brajard; Alberto Carrassi et al. (2020). Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. (ekstern lenke)
• 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. (ekstern lenke)
• Jens Wickert; Estel Cardellach; Manuel Martín-Neira et al. (2016). GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. (ekstern lenke)
• 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.. (ekstern lenke)
• Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino et al. (2020). The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. (ekstern lenke)
• 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. (ekstern lenke)
• M.J. Martin; M. Balmaseda; Laurent Bertino et al. (2015). Status and future of data assimilation in operational oceanography. (ekstern lenke)
• 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. (ekstern lenke)
• Marta Umbert; Eva De-Andrés; Rafael Gonçalves-Araujo et al. (2023). Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. (ekstern lenke)
• Sophie Mauran; Sandrine Mouysset; Ehouarn Simon et al. (2023). A Kernel Extension of the Ensemble Transform Kalman Filter. (ekstern lenke)
• Intissar Keghouche; Laurent Bertino; Knut Arild Lisæter (2009). Parameterization of an Iceberg Drift Model in the Barents Sea. (ekstern lenke)
• Mohamad El Gharamti; Jerry Tjiputra; Ingo Bethke et al. (2017). Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. (ekstern lenke)
• Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino et al. (2021). Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Abhishek Shah; Laurent Bertino; Francois Counillon et al. (2019). Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. (ekstern lenke)
• 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. (ekstern lenke)
• Arne Melsom; Francois Counillon; Joseph Henry Lacasce et al. (2012). Forecasting search areas using ensemble ocean circulation modeling. (ekstern lenke)
• Jiping Xie; Laurent Bertino; Knut Arild Lisæter et al. (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. (ekstern lenke)
• Abhishek Shah; Mohamad El Gharamti; Laurent Bertino (2018). Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. (ekstern lenke)
• Jiping Xie; Marc de Vos; Laurent Bertino et al. (2020). Impact of assimilating altimeter data on eddy characteristics in the South China Sea. (ekstern lenke)
• Matthew J. Martin; Ibrahim Hoteit; Laurent Pierre Vincent Bertino et al. (2025). Data assimilation schemes for ocean forecasting: state of the art.. (ekstern lenke)
• 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. (ekstern lenke)
• Timothy Williams; Luke Bennetts; Vernon Squire et al. (2013). Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations. (ekstern lenke)
• Joanna S. Pelc; Ehouarn Simon; Laurent Bertino et al. (2012). Application of model reduced 4D-Var to a 1D ecosystem model. (ekstern lenke)
• 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. (ekstern lenke)
• Marc Bocquet; Julien Brajard; Alberto Carrassi et al. (2019). Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)

Doktorgradsavhandling

• Patrick Raanes; Laurent Bertino; Geir Evensen et al. (2015). Improvements to Ensemble Methods for Data Assimilation in the Geosciences. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2019). Ensemble-based retrospective analysis of the seasonal snowpack. (ekstern lenke)
• Abhishek Shah; Laurent Bertino; Hans J. Skaug (2019). Stochastic data assimilation of observations with a detection limit. (ekstern lenke)

Vitenskapelig bokkapittel

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

Vitenskapelig litteraturgjennomgang

• Detlef Stammer; Daniel E. Amrhein; Magdalena Alonso Balmaseda et al. (2024). Earth System Reanalysis in Support of Climate Model Improvements. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Pierre-Yves Le Traon; Antonio Reppucci; Enrique Alvarez Fanjul et al. (2019). From observation to information and users: The Copernicus Marine Service Perspective. (ekstern lenke)
• Alberto Carrassi; Marc Bocquet; Laurent Bertino et al. (2018). Data assimilation in the geosciences: An overview of methods, issues, and perspectives. (ekstern lenke)
• Laurent Bertino; Marika M. Holland (2018). Coupled ice-ocean modeling and predictions. (ekstern lenke)

Forelesning

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

Medieintervju

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

Forskningsrapport

• 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. (ekstern lenke)
• Nicolas Finck; Francois Counillon; Laurent Bertino et al. (2013). Validation of sea ice quantities of TOPAZ for the period 1990-2010. (ekstern lenke)
• Florian Geyer; Laurent Bertino (2014). Projected ice conditions in the East Siberian Sea. Deliverable 2 report. Terra Orbit AS Technical Report no. 01/2014.. (ekstern lenke)
• 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. (ekstern lenke)
• 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.. (ekstern lenke)
• Christoph Renkl; Francois Counillon; Laurent Bertino (2014). Validation of the 20-year TOPAZ4 Reanalysis. (ekstern lenke)
• 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). (ekstern lenke)
• Laurent Bertino; Timothy Williams; Mohamed Babiker et al. (2017). SWARP - Ships and Wawes Reaching Polar Regions. D5.1 Validation Reports. (ekstern lenke)
• 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.. (ekstern lenke)
• Laurent Bertino; Bjørn Åge Hjøllo (2017). SWARP - Ships and Wawes Reaching Polar Regions. D7.4 Business plan beyond the project duration. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Pierre-Yves Le Traon; V. Abadie; A. Ali et al. (2021). Summary of 57th Mercator Ocean Journal Issue: Copernicus Marine Service Achievements 2015 - 2021. (ekstern lenke)
• Laurent Bertino; Francois Counillon; Pavel Sakov et al. (2012). Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. (ekstern lenke)
• 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). (ekstern lenke)
• Sebastien Billeau; Francois Counillon; Noel Keenlyside et al. (2016). IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED. (ekstern lenke)

Konferanseforedrag

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

Konferanseposter

• Svetlana Milutinovic; Laurent Bertino (2010). Assessment and propagation of uncertainties in input terms through the Vertically Generalized Productivity Model. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Logan Karsten et al. (2018). Snow history matching in mountainous terrain. (ekstern lenke)
• 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. (ekstern lenke)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). 11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification. (ekstern lenke)
• Leo Edel; Jiping Xie; Julien Brajard et al. (2023). IGS Symposium on Sea Ice. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• 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. (ekstern lenke)
• Kristoffer Aalstad; Esteban Alonso-Gonzalez; Varvara Bazilova et al. (2021). Leveraging emerging Earth observations using data assimilation. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2016). An ensemble-based snow data assimilation framework. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino (2016). An ensemble-based subgrid snow data assimilation framework. (ekstern lenke)
• Kristoffer Aalstad; Sebastian Westermann; Julia Boike et al. (2016). An ensemble-based snow data assimilation framework with applications to permafrost modeling. (ekstern lenke)

Kapittel i fagbok

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

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