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Laurent Pierre Vincent Bertino's picture

Laurent Pierre Vincent Bertino

  • E-mailLaurent.Bertino@uib.no
  • Phone+47 934 56 215
  • Visitor Address
    Allégaten 70
  • Postal Address
    Postboks 7803
    5020 BERGEN
Academic article
  • Show author(s) 2021. The relationship between the eddy-driven jet stream and northern European sea level variability. Tellus. Series 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.
  • 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. Series 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. Series 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. Series 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. Series 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) 2021. Summary of 57th Mercator Ocean Journal Issue: Copernicus Marine Service Achievements 2015 - 2021. 57. 57. .
  • Show author(s) 2020. Copernicus marine tjenester og Miljødirektoratets Økokyst- og Havforsuringsprogrammer. . 404. 404. .
  • Show author(s) 2017. SWARP - Ships and Wawes Reaching Polar Regions. D7.4 Business plan beyond the project duration . 387. 387. .
  • Show author(s) 2017. SWARP - Ships and Wawes Reaching Polar Regions. D5.1 Validation Reports . 386. 386. .
  • Show author(s) 2016. IMPACT OF CHANGING THE ASSIMILATION CYCLE: CENTERED VS STAGGERED, SNAPSHOT VS MONTHLY AVERAGED . 400. 400. .
  • Show author(s) 2014. Validation of the 20-year TOPAZ4 Reanalysis. 337. 337. .
  • Show author(s) 2014. Projected ice conditions in the East Siberian Sea. Deliverable 2 report. Terra Orbit AS Technical Report no. 01/2014. .
  • Show author(s) 2013. Validation of sea ice quantities of TOPAZ for the period 1990-2010. .
  • Show author(s) 2013. Projected ice conditions in the East Siberian Sea. Deliverable 1 report. Terra Orbit AS Technical Report no. 01/2013. .
  • Show author(s) 2013. Evaluation of "Tilførselsprogrammet" - Programme for monitoring and modelling of contaminant loads and levels in Norwegian marine areas. .
  • Show author(s) 2012. Report on error quantified hindcast with data assimilation (GreenSeas). .
  • Show author(s) 2012. Quality information document MyOcean V1 system WP05-ARC-MFC REANALYSIS. 336. 336. .
  • Show author(s) 2012. Quality Information Document MyOcean V1 System WP05– ARC-MFC Reanalysis. .
  • Show author(s) 2011. Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). .
  • Show author(s) 2009. Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). .
  • Show author(s) 2009. D4.2-03- Description of assimilation schemes, updated plan for assimilation experiments of data from into TOPAZ-3. .
  • Show author(s) 2008. Preparing for assimilation of acoustic data into a ice-ocean coupled model using EnKF. NERSC Technical report no. 299. .
Lecture
  • Show author(s) 2018. Using the Ensemble Kalman Filter for Arctic sea ice forecasting: towards a fully Lagrangian approach .
  • Show author(s) 2018. Arctic sea ice (and icebergs) in a changing climate .
  • 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.
Academic lecture
  • Show author(s) 2021. Retrieving fractional snow-covered area from optical satellites using data assimilation.
  • 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. 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) 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) 2016. Improvements to Ensemble Methods for Data Assimilation in the Geosciences.
  • 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.
Interview
  • 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 Rimowski?
  • 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) 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) 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.
Website (informational material)
  • Show author(s) 2019. Report on Data Assimilation summer school, Timișoara, Romania.
  • Show author(s) 2018. CAATEX prosjekt sider.
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)