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University of Bergen
Laurent Bertino's picture

Laurent Bertino

Guest Researcher
Bjerknes Centre for Climate Research
  • E-maillaurent.bertino@uib.no
  • Visitor Address
    Allégaten 70
    5007 Bergen
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2024). Map-Based Ensemble Forecasts for Maritime Operations: An Interactive Usability Assessment with Decision Scenarios. Weather, Climate, and Society. 235-256.
  • Show author(s) (2024). Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model. The Cryosphere. 1597-1619.
  • Show author(s) (2023). Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. Remote Sensing.
  • Show author(s) (2023). Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. Frontiers in Remote Sensing.
  • Show author(s) (2023). Improving Vortex Position Accuracy with a New Multiscale Alignment Ensemble Filter. Monthly Weather Review. 1387-1405.
  • Show author(s) (2023). Evaluation of operational ocean forecasting systems from the perspective of the users and the experts. State of the Planet (SP).
  • Show author(s) (2023). Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast. Scientific Reports.
  • Show author(s) (2023). Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. Ocean Science. 269-287.
  • Show author(s) (2023). Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019-2020. The Cryosphere. 1735-1754.
  • Show author(s) (2023). A Kernel Extension of the Ensemble Transform Kalman Filter. Lecture Notes in Computer Science (LNCS). 438-452.
  • Show author(s) (2022). Super-resolution data assimilation. Ocean Dynamics. 661-678.
  • Show author(s) (2022). Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6. . Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 166-175.
  • Show author(s) (2022). Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography. Ocean Science.
  • Show author(s) (2022). Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. Earth System Science Data. 307-323.
  • Show author(s) (2022). Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters.
  • Show author(s) (2022). An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport. Journal of Marine Science and Engineering (JMSE).
  • Show author(s) (2021). The relationship between the eddy-driven jet stream and northern European sea level variability. Tellus A: Dynamic Meteorology and Oceanography. 1-15.
  • Show author(s) (2021). Freshwater in the Arctic Ocean 2010-2019. Ocean Science. 1081-1102.
  • Show author(s) (2021). Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
  • Show author(s) (2021). Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration. . The Cryosphere. 1307-1319.
  • Show author(s) (2020). The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. The Cryosphere Discussions.
  • Show author(s) (2020). Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans. 326-342.
  • Show author(s) (2020). Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling.
  • Show author(s) (2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment. 19 pages.
  • Show author(s) (2020). Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 1-172.
  • Show author(s) (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. Journal of Computational Science.
  • Show author(s) (2020). Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS). 55-80.
  • Show author(s) (2020). Arctic sea level budget assessment during the GRACE/Argo time period. Remote Sensing. 1-21.
  • Show author(s) (2019). The Arctic Front and its variability in the Norwegian Sea. Ocean Science. 1729-1744.
  • Show author(s) (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 . Frontiers in Marine Science.
  • Show author(s) (2019). Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data. Ocean Science. 1191-1206.
  • Show author(s) (2019). Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics. 143-162.
  • Show author(s) (2019). Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus A: Dynamic Meteorology and Oceanography. 1-15.
  • Show author(s) (2019). An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US. Remote Sensing.
  • Show author(s) (2019). A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans. Ocean Modelling. 76-97.
  • Show author(s) (2018). Role of Greenland sea gyre circulation on Atlantic water temperature variability in the Fram Strait. Geophysical Research Letters. 8399-8406.
  • Show author(s) (2018). Quantifying Atlantic Water transport to the Nordic Seas by remote sensing. Remote Sensing of Environment. 758-769.
  • Show author(s) (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. The Cryosphere. 2005-2020.
  • Show author(s) (2018). Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science. 337-354.
  • Show author(s) (2018). Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society. 76-91.
  • Show author(s) (2018). Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling. Ocean Modelling. 13-28.
  • Show author(s) (2018). Impact of rheology on probabilistic forecasts of sea ice trajectories: Application for search and rescue operations in the Arctic. The Cryosphere. 935-953.
  • Show author(s) (2018). Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere. 3671-3691.
  • Show author(s) (2018). Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. The Cryosphere. 247-270.
  • Show author(s) (2018). Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. Quarterly Journal of the Royal Meteorological Society. 1882-1894.
  • Show author(s) (2018). An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks. Remote Sensing of Environment. 152-165.
  • Show author(s) (2017). The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. Atmospheric and Oceanic Science Letters.
  • Show author(s) (2017). Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science. 123-144.
  • Show author(s) (2017). Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. Journal of Marine Systems. 1-16.
  • Show author(s) (2017). On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. Marine Policy. 300-317.
  • Show author(s) (2017). Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. Ocean Modelling. 65-89.
  • Show author(s) (2016). GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4552-4581.
  • Show author(s) (2016). Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere. 2745-2761.
  • Show author(s) (2016). An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling. 43-59.
  • Show author(s) (2016). Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society. 1064-1074.
  • Show author(s) (2015). Status and future of global and regional ocean prediction systems . Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology.
  • Show author(s) (2015). Status and future of data assimilation in operational oceanography. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 28-48.
  • Show author(s) (2015). Extending the square root method to account for additive forecast noise in ensemble methods. Monthly Weather Review. 3857-3873.
  • Show author(s) (2015). Experiences in multiyear combined state-parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter. Journal of Marine Systems. 1-17.
  • Show author(s) (2015). Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology.
  • Show author(s) (2015). Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics.
  • Show author(s) (2014). Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. Surveys in geophysics. 661-679.
  • Show author(s) (2014). Seasonal-to-decadal predictions with the ensemble kalman filter and the Norwegian earth System Model: A twin experiment. Tellus A: Dynamic Meteorology and Oceanography.
  • Show author(s) (2014). Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results. Optics Express. 20894-20913.
  • Show author(s) (2013). Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface. Ocean Modelling. 92-101.
  • Show author(s) (2013). Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations. Ocean Modelling. 81-91.
  • Show author(s) (2012). TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Science. 633-656.
  • Show author(s) (2012). Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. Journal of Marine Systems. 1-18.
  • Show author(s) (2012). Forecasting search areas using ensemble ocean circulation modeling. Ocean Dynamics. 1245-1257.
  • Show author(s) (2012). Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment. Ocean Science. 587-602.
  • Show author(s) (2012). Application of model reduced 4D-Var to a 1D ecosystem model. Ocean Modelling. 43-58.
  • Show author(s) (2012). An Iterative EnKF for Strongly Nonlinear Systems. Monthly Weather Review. 1988-2004.
  • Show author(s) (2011). The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences. 331-342.
  • Show author(s) (2011). Relation between two common localisation methods for the EnKF. Computational Geosciences. 225-237.
  • Show author(s) (2011). Assessment and propagation of uncertainties in input terms through an ocean-color-based model of primary productivity. Remote Sensing of Environment. 1906-1917.
  • Show author(s) (2011). An ocean modelling and assimilation guide to using GOCE geoid products. Ocean Science. 151-164.
  • Show author(s) (2011). An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI. Ocean Science. 609-627.
  • Show author(s) (2011). A wave-based model for the marginal ice zone including a floe breaking parameterization. Journal of Geophysical Research (JGR): Oceans. 12 pages.
  • Show author(s) (2011). A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling. 85-111.
  • Show author(s) (2010). Validation of a hybrid coordinate ocean model for the Indian Ocean. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 25-38.
  • Show author(s) (2010). Modeling dynamics and thermodynamics of icebergs in the Barents Sea from 1987 to 2005. Journal of Geophysical Research (JGR): Oceans.
  • Show author(s) (2010). Asynchronous data assimilation with the EnKF. Tellus A: Dynamic Meteorology and Oceanography.
  • Show author(s) (2010). Assimilating Altimetry Data into a HYCOM Model of the Pacific: Ensemble Optimal Interpolation versus Ensemble Kalman Filter. Journal of Atmospheric and Oceanic Technology. 753-765.
  • Show author(s) (2009). Validation and Intercomparison Studies Within GODAE. Oceanography. 128-143.
  • Show author(s) (2009). Parameterization of an Iceberg Drift Model in the Barents Sea. Journal of Atmospheric and Oceanic Technology. 2216-2227.
  • Show author(s) (2009). OCEAN DATA ASSIMILATION SYSTEMS FOR GODAE. Oceanography. 96-109.
  • Show author(s) (2009). Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic. Ocean Science. 635-647.
  • Show author(s) (2009). High-resolution ensemble forecasting for the Gulf of Mexico eddies and fronts. Ocean Dynamics. 83-95.
  • Show author(s) (2009). GODAE Systems in Operation. Oceanography. 80-95.
  • Show author(s) (2009). Ensemble Optimal Interpolation: multivariate properties in the Gulf of Mexico. Tellus A: Dynamic Meteorology and Oceanography. 296-308.
  • Show author(s) (2009). Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment. Ocean Science. 495-510.
  • Show author(s) (2009). Application of a hybrid EnKF-OI to ocean forecasting. Ocean Science. 389-401.
  • Show author(s) (2009). A "Dressed" Ensemble Kalman Filter Using the Hybrid Coordinate Ocean Model in the Pacific. Advances in Atmospheric Sciences. 1042-1052.
  • Show author(s) (2008). The greater Agulhas Current system: An integrated study of its mesoscale variability. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 29-44.
  • Show author(s) (2008). The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 15-18.
  • Show author(s) (2008). Initial ensemble generation and validation for ocean data assimilation using HYCOM in the Pacific. Ocean Dynamics. 81-99.
  • Show author(s) (2006). Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. Quarterly Journal of the Royal Meteorological Society. 3561-3582.
  • Show author(s) (2005). The impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacific. Quarterly Journal of the Royal Meteorological Society.
Report
  • Show author(s) (2014). Validation of the 20-year TOPAZ4 Reanalysis. 337. 337. .
  • Show author(s) (2012). Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. 336. 336. .
  • Show author(s) (2009). D4.2-03- Description of assimilation schemes, updated plan for assimilation experiments of data from into TOPAZ-3. .
Lecture
  • Show author(s) (2023). Reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach.
  • Show author(s) (2023). A reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2021). Super-resolution data assimilation.
  • Show author(s) (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach .
  • Show author(s) (2016). Monitoring & Forecasting Center for Arctic - Acceptance Review.
  • Show author(s) (2016). An ensemble-based subgrid snow data assimilation framework.
  • Show author(s) (2016). ARCMFC Multi Year Products.
  • Show author(s) (2016). ARCMFC CMEMS Annual Operations Review Multi Year Products Coordination.
Popular scientific lecture
  • Show author(s) (2022). Møt forskere fra Nansen Environmental and Remote Sensing Center på VilVite.
Academic lecture
  • Show author(s) (2023). Status and prospects for the neXtSIM-F CMEMS operational forecast.
  • Show author(s) (2023). A new version of the ocean and sea-ice Arctic reanalysis.
  • Show author(s) (2022). TOPAZ4b: a new version of the ocean and sea-ice Arctic reanalysis.
  • Show author(s) (2022). Performance of the multiscale alignment ensemble filter in reducing vortex position errors.
  • Show author(s) (2021). Unmixing satellite imagery using data assimilation to map snow and albedo.
  • Show author(s) (2021). Retrieving fractional snow-covered area from optical satellites using data assimilation.
  • Show author(s) (2021). Learning from Earth observations using data assimilation.
  • Show author(s) (2021). Impacts of assimilating Arctic surface sea salinities from SMOS in a coupled ocean and sea ice reanalysis.
  • Show author(s) (2020). Testing ensemble-based snow reanalysis in the Lakes basin using the ASO.
  • Show author(s) (2020). Retrieving, validating, and assimilating fractional snow-covered area from emerging optical satellites for snow reanalysis.
  • Show author(s) (2020). Constraining land surface models with emerging observations.
  • Show author(s) (2019). Retrieving the depletion of snow-covered area from multiple optical satellite sensors with applications for SWE reanalysis.
  • Show author(s) (2019). Long-duration Autonomy for Open Ocean Exploration.
  • Show author(s) (2018). Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach.
  • Show author(s) (2018). Towards high-resolution Bayesian snow reconstruction in permafrost regions.
  • Show author(s) (2018). Towards creating a ESA CCI Level 4 root zone soil moisture product using land surface data assimilation .
  • Show author(s) (2018). Optimised assimilation of sea ice concentration and implications for climate prediction.
  • Show author(s) (2018). Ensemble-based reanalysis of the seasonal montane snowpack: Lessons from the ASO.
  • Show author(s) (2018). Assimilation of SMOS Level 2 soil moisture retrievals for improved soil moisture estimates over northern latitudes.
  • Show author(s) (2018). Arctic sea ice (and icebergs) in a changing climate .
  • Show author(s) (2018). Applications and recent developments of the biogeochemical model in the TOPAZ forecasting system.
  • Show author(s) (2017). Towards High-Resolution SWE Mapping in Permafrost Regions.
  • Show author(s) (2017). Hexagon@University of Bergen, Norway.
  • Show author(s) (2017). Ensemble-based subgrid snow data assimilation.
  • Show author(s) (2017). Comprehensive validation of sea ice forecasts from a real-time operational ocean-ice model.
  • Show author(s) (2017). Challenges in validating model results for multi-year ice.
  • Show author(s) (2016). An operational validation system for real-time sea ice concentration forecasts in the Arctic.
  • Show author(s) (2016). An ensemble-based subgrid snow data assimilation framework applied to the southern Swiss alps.
  • Show author(s) (2015). Uncertainties in ocean modeling results.
  • Show author(s) (2014). Seasonal-to-decadal prediction with NorCPM.
  • Show author(s) (2014). Seasonal to decadal prediction with NorCPM.
  • Show author(s) (2014). Seasonal to decadal prediction with NorCPM.
  • Show author(s) (2013). TUTORIAL 3 Operational Oceanography.
  • Show author(s) (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • Show author(s) (2013). Seasonal-decadal prediction with the EnKF and NorESM: a twin experiment.
  • Show author(s) (2012). Seasonal-decadal prediction with the EnKF and NorESM.
  • Show author(s) (2010). Challenges and capabilities of data assimilation.
Popular scientific article
  • Show author(s) (2012). Advanced data assimilation in oceanography. META. 8-12.
Doctoral dissertation
  • Show author(s) (2022). Sea-level change over the northern European continental shelf due to atmospheric and oceanic contributions. .
  • Show author(s) (2019). Stochastic data assimilation of observations with a detection limit.
  • Show author(s) (2019). Ensemble-based retrospective analysis of the seasonal snowpack. 2186.
  • Show author(s) (2015). Modelling and observations of upwelling along the southwest coast of Indfia and its intrusion into the Bay og Bengal, during summer monsoon.
  • Show author(s) (2015). Improvements to Ensemble Methods for Data Assimilation in the Geosciences.
Interview
  • Show author(s) (2022). Skip kan få langtidsvarsel for sjøis.
  • Show author(s) (2022). Skip kan få langtidsvarsel for sjøis.
  • Show author(s) (2022). Skal varsle sjøis.
  • Show author(s) (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).
  • Show author(s) (2021). Letters sent from the Titanc to researchers in Rimouski?
  • Show author(s) (2018). “Last Sea Ice Area” in the Arctic Breaks Up.
  • Show author(s) (2018). Slik vet vi at satellittene måler riktig.
  • Show author(s) (2016). - Før var utfordringen tykk is, nå er det drivende is.
  • Show author(s) (2016). - Før var utfordringen tykk is, nå er det drivende is.
  • Show author(s) (2016). - Før var utfordringen tykk is, nå er det drivende is.
Academic chapter/article/Conference paper
  • Show author(s) (2022). Sea Ice Modelling. 27 pages.
  • Show author(s) (2022). Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. 20 pages.
  • Show author(s) (2022). Detection and attribution of manometric sea-level variations along the Norwegiancoast osing GRACE mascon solutions. 2 pages.
  • Show author(s) (2022). Biogeochemical Modelling. 61 pages.
  • Show author(s) (2021). The Arctic marine forecasting center in the first Copernicus period. 8 pages.
  • Show author(s) (2020). Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. 11 pages.
  • Show author(s) (2019). Connections between data assimilation and machine learning to emulate a numerical model. . 6 pages.
  • Show author(s) (2017). Sea ice data assimilation. 35 pages.
  • Show author(s) (2017). Automated Sea Ice Prediction Systems. 30 pages.
  • Show author(s) (2014). The Fram Strait integrated observing and modelling system. 9 pages.
  • Show author(s) (2014). Monitoring and forecasting the Arctic Ocean: Norway and MyOcean. 9 pages.
  • Show author(s) (2007). Operational Oceanography - Challenges and possibilities. 12 pages.
  • Show author(s) (2006). Monitoring of the Norwegian coastal zone environment - the MONCOZE approach. 7 pages.
Poster
  • Show author(s) (2023). Reconstruction of Arctic sea ice thickness (1991-2010) based on a hybrid machine learning and data assimilation approach.
  • Show author(s) (2023). IGS Symposium on Sea Ice.
  • Show author(s) (2023). 11th International Workshop on Sea Ice Modelling, Assimilation, Observations, Predictions and Verification.
  • Show author(s) (2021). Leveraging emerging Earth observations using data assimilation.
  • Show author(s) (2018). Strongly coupled data assimilation (SCDA) of SMOS land surface brightness temperature in WRF using the EnKF.
  • Show author(s) (2018). Snow history matching in mountainous terrain.
  • Show author(s) (2018). Quantifying Atlantic Water transport to the Nordic Seas by combined use of Gravimetry and Altimetry.
  • Show author(s) (2018). Assessing the impact of surface waves on the North Atlantic and Nordic Seas simulations using HYCOM.
  • Show author(s) (2017). Towards High-Resolution SWE Mapping in Permafrost Regions.
  • Show author(s) (2016). An ensemble-based subgrid snow data assimilation framework.
  • Show author(s) (2016). An ensemble-based snow data assimilation framework with applications to permafrost modeling.
  • Show author(s) (2016). An ensemble-based snow data assimilation framework.
  • Show author(s) (2010). Assessment and propagation of uncertainties in input terms through the Vertically Generalized Productivity Model.
Academic literature review
  • Show author(s) (2019). Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science. 1-28.
  • Show author(s) (2019). Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks. Frontiers in Marine Science. 1-25.
  • Show author(s) (2019). From observation to information and users: The Copernicus Marine Service Perspective. Frontiers in Marine Science. 1-22.
  • Show author(s) (2018). Data assimilation in the geosciences: An overview of methods, issues, and perspectives. Wiley Interdisciplinary Reviews: Climate Change (WIRESs). 1-50.
  • Show author(s) (2018). Coupled ice-ocean modeling and predictions. Journal of Marine Research. 839-875.
Chapter
  • Show author(s) (2016). MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. 43-69. In:
    • Show author(s) (2016). MERCATOR OCEAN JOURNAL NO 54: Main outcomes of the Myocean2 and Myocean follow-on projects. .

More information in national current research information system (CRIStin)