Vitenskapelig artikkel
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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)
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Giovanni Macelloni; Kenneth C. Jezek; Marco Brogioni
et al. (2026). Wideband Radiometry From P to S Band for Monitoring Polar Regions. (ekstern lenke)
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Charlotte Durand; Tobias Sebastian Finn; Alban Farchi
et al. (2025). Four-dimensional variational data assimilation with a sea-ice thickness emulator. (ekstern lenke)
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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)
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Aina Garcia-Espriu; Veronica Gonzalez-Gambau; Estrella Olmedo
et al. (2026). ESA Arctic+ Salinity Product v4: Enhanced Retrievals Near the Ice-Edge.. (ekstern lenke)
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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)
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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)
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Mary Swapna George; Laurent Bertino; Ola M Johannessen
et al. (2010). Validation of a hybrid coordinate ocean model for the Indian Ocean. (ekstern lenke)
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Roshin Pappukutty Raj; Sourav Chatterjee; Laurent Bertino
et al. (2019). The Arctic Front and its variability in the Norwegian Sea. (ekstern lenke)
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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)
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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)
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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)
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Maria Tonani; Magdalena Balmaseda; Laurent Bertino
et al. (2015). Status and future of global and regional ocean prediction systems. (ekstern lenke)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Patrick Raanes; Alberto Carrassi; Laurent Bertino
(2015). Extending the square root method to account for additive forecast noise in ensemble methods. (ekstern lenke)
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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)
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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)
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Pavel Sakov; Dean Oliver; Laurent Bertino
(2012). An Iterative EnKF for Strongly Nonlinear Systems. (ekstern lenke)
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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)
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S. Ciavatta; P. Lazzari; E. Alvarez
et al. (2025). Control of simulated ocean ecosystem indicators by biogeochemical observations. (ekstern lenke)
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Hervé Chauris; Irène Karoui; P Garreau
et al. (2011). The circlet transform: A robust tool for detecting features with circular shapes. (ekstern lenke)
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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)
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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)
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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)
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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)
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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)
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K. von Schuckmann; Pierre-Yves Le Traon; Neville Smith
et al. (2020). Copernicus Marine Service Ocean State Report, issue 4. (ekstern lenke)
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Francois Counillon; Pavel Sakov; Laurent Bertino
(2009). Application of a hybrid EnKF-OI to ocean forecasting. (ekstern lenke)
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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)
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E Dombrowsky; Laurent Bertino; GB Brassington
et al. (2009). GODAE Systems in Operation. (ekstern lenke)
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Francois Counillon; Laurent Bertino
(2009). High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. (ekstern lenke)
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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)
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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)
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Svetlana Milutinovic; Laurent Bertino
(2011). Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. (ekstern lenke)
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Pavel Sakov; Laurent Bertino
(2011). Relation between two common localisation methods for the EnKF. (ekstern lenke)
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K Haines; Johnny Andre Johannessen; P Knudsen
et al. (2011). An ocean modelling and assimilation guide to using GOCE geoid products. (ekstern lenke)
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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)
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J Cummings; Laurent Bertino; P Brasseur
et al. (2009). OCEAN DATA ASSIMILATION SYSTEMS FOR GODAE. (ekstern lenke)
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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)
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Bjørn Backeberg; Johnny Andre Johannessen; Laurent Bertino
et al. (2008). The greater Agulhas Current system: An integrated study of its mesoscale variability. (ekstern lenke)
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Francois Counillon; Laurent Bertino
(2009). Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. (ekstern lenke)
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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)
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Dany Dumont; A Kohout; Laurent Bertino
(2011). A wave-based model for the marginal ice zone including a floe breaking parameterization. (ekstern lenke)
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F Hernandez; Laurent Bertino; G Brassington
et al. (2009). Validation and Intercomparison Studies Within GODAE. (ekstern lenke)
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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)
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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)
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Laurent Bertino; Knut Arild Lisæter
(2008). The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. (ekstern lenke)
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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)
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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)
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Kristoffer Aalstad; Sebastian Westermann; Laurent Bertino
(2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. (ekstern lenke)
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Francisco Balibrea-Iniesta; Jiping Xie; Victor Garcia-Garrido
et al. (2018). Lagrangian transport across the upper Arctic waters in the Canadian Basin. (ekstern lenke)
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Justino Martinez; Carolina Gabarró; Antonio Turiel
et al. (2022). Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. (ekstern lenke)
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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)
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Intissar Keghouche; Francois Counillon; Laurent Bertino
(2010). Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. (ekstern lenke)
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Cyril Palerme; Thomas Lavergne; Jozef Rusin
et al. (2024). Improving short-term sea ice concentration forecasts using deep learning. (ekstern lenke)
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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)
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Sebastien Jean-Claude Barthelemy; Julien Brajard; Laurent Bertino
et al. (2022). Super-resolution data assimilation. (ekstern lenke)
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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)
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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)
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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)
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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)
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Pavel Sakov; Geir Evensen; Laurent Bertino
(2010). Asynchronous data assimilation with the EnKF. (ekstern lenke)
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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)
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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)
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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)
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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)
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Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino
et al. (2020). The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. (ekstern lenke)
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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)
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M.J. Martin; M. Balmaseda; Laurent Bertino
et al. (2015). Status and future of data assimilation in operational oceanography. (ekstern lenke)
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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)
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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)
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Sophie Mauran; Sandrine Mouysset; Ehouarn Simon
et al. (2023). A Kernel Extension of the Ensemble Transform Kalman Filter. (ekstern lenke)
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Intissar Keghouche; Laurent Bertino; Knut Arild Lisæter
(2009). Parameterization of an Iceberg Drift Model in the Barents Sea. (ekstern lenke)
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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)
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Sourav Chatterjee; Roshin Pappukutty Raj; Laurent Bertino
et al. (2021). Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.. (ekstern lenke)
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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)
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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)
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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)
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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)
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Arne Melsom; Francois Counillon; Joseph Henry Lacasce
et al. (2012). Forecasting search areas using ensemble ocean circulation modeling. (ekstern lenke)
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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)
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Abhishek Shah; Mohamad El Gharamti; Laurent Bertino
(2018). Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. (ekstern lenke)
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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)
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Matthew J. Martin; Ibrahim Hoteit; Laurent Pierre Vincent Bertino
et al. (2025). Data assimilation schemes for ocean forecasting: state of the art.. (ekstern lenke)
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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)
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Timothy Williams; Luke Bennetts; Vernon Squire
et al. (2013). Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations. (ekstern lenke)
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Joanna S. Pelc; Ehouarn Simon; Laurent Bertino
et al. (2012). Application of model reduced 4D-Var to a 1D ecosystem model. (ekstern lenke)
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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)
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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)
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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)
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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)
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