Jean‐Michel Brankart

ORCID: 0000-0002-0330-6019
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Geophysics and Gravity Measurements
  • Marine and coastal ecosystems
  • Reservoir Engineering and Simulation Methods
  • Atmospheric and Environmental Gas Dynamics
  • Ocean Waves and Remote Sensing
  • GNSS positioning and interference
  • Geochemistry and Geologic Mapping
  • Inertial Sensor and Navigation
  • Hydrocarbon exploration and reservoir analysis
  • demographic modeling and climate adaptation
  • Arctic and Antarctic ice dynamics
  • Methane Hydrates and Related Phenomena
  • Scientific Research and Discoveries
  • Underwater Acoustics Research
  • Groundwater flow and contamination studies
  • Seismic Imaging and Inversion Techniques
  • Ocean Acidification Effects and Responses
  • Hydrological Forecasting Using AI
  • Satellite Image Processing and Photogrammetry
  • Tropical and Extratropical Cyclones Research
  • Probabilistic and Robust Engineering Design
  • Target Tracking and Data Fusion in Sensor Networks

Institut de Recherche pour le Développement
2017-2024

Institut des Géosciences de l'Environnement
2017-2024

Université Grenoble Alpes
2015-2024

Centre National de la Recherche Scientifique
2014-2024

Institut polytechnique de Grenoble
2017-2024

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2024

University of Liège
1996-2023

Laboratoire de Glaciologie et Géophysique de l’Environnement
2013-2016

Université Joseph Fourier
2003-2013

Laboratoire des Écoulements Géophysiques et Industriels
2003-2012

Abstract This study investigates the origin and features of interannual–decadal Atlantic meridional overturning circulation (AMOC) variability from several ocean simulations, including a large (50 member) ensemble global, eddy-permitting (1/4°) ocean–sea ice hindcasts. After an initial stochastic perturbation, each member is driven by same realistic atmospheric forcing over 1960–2015. The magnitude, spatiotemporal scales, patterns both atmospherically forced intrinsic–chaotic interannual...

10.1175/jcli-d-17-0168.1 article EN Journal of Climate 2017-11-08

Abstract. In this paper, a generic implementation approach is presented, with the aim of transforming deterministic ocean model (like NEMO) into probabilistic model. With approach, several kinds stochastic parameterizations are implemented to simulate non-deterministic effect unresolved processes, scales and diversity. The method illustrated three applications, showing that uncertainties can produce major in circulation model, ecosystem sea ice These examples show an important simulations,...

10.5194/gmd-8-1285-2015 article EN cc-by Geoscientific model development 2015-05-04

Abstract. This paper presents the technical implementation of a new, probabilistic version NEMO ocean–sea-ice modelling system. Ensemble simulations with N members running simultaneously within single executable, and interacting mutually if needed, are made possible through an enhanced message-passing interface (MPI) strategy including double parallelization in spatial ensemble dimensions. An example application is then given to illustrate implementation, performances, potential use this...

10.5194/gmd-10-1091-2017 article EN cc-by Geoscientific model development 2017-03-10

For decades now, satellite altimetric observations have been successfully integrated in numerical oceanographic models using data assimilation (DA). So far, sea surface height (SSH) were provided by one-dimensional nadir altimeters. The next generation Surface Water and Ocean Topography (SWOT) altimeter will provide two-dimensional wide-swath information with an unprecedented high resolution. This new type of SSH is expected to strongly improve assimilation. However, the SWOT also be...

10.3389/fmars.2019.00822 article EN cc-by Frontiers in Marine Science 2020-01-13

Abstract. We investigate the predictability properties of ocean dynamics using an ensemble short-term numerical regional simulations forced by prescribed atmospheric conditions. In that purpose, we developed a kilometric-scale, model for Western Mediterranean sea (MEDWEST60, at 1/60∘ horizontal resolution). A probabilistic approach is then followed, where stochastic parameterization uncertainties introduced in this setup to initialize experiments. set three experiments (20 members and 2...

10.5194/os-18-1619-2022 article EN cc-by Ocean science 2022-11-21

The Southwest Indian Ocean (SWIO) is characterized by diverse dynamic regimes, with intense energy fluxes and intricate atmospheric interactions (Phillips et al., 2021, OS). Mascarene area, to the east of Madagascar, influenced South Equatorial Current subtropical gyre, Mozambique Channel presents numerous mesoscale eddies, which play an important role in biogeochemical dynamics, zone affected inversion seasonal Monsoon circulation. Modeling such complex systems requires consideration...

10.5194/egusphere-egu25-15591 preprint EN 2025-03-15

This study investigates the low-frequency variability of Mediterranean Sea using an ensemble 30 eddy-permitting (1/12°) NEMO-based regional ocean simulations. The members were slightly perturbed in their initial conditions and forced by same atmospheric during 34 years, allowing us to separate intrinsic atmospherically-forced components variability.At interannual timescales, our analysis sea surface height (SSH) reveals distinct patterns across basin. While certain circulation...

10.5194/egusphere-egu25-20796 preprint EN 2025-03-15

The Southwest Indian Ocean (SWIO) is characterized by diverse dynamic regimes, with intense energy fluxes and intricate atmospheric interactions (Phillips et al., 2021). Mascarene area, to the east of Madagascar, influenced South Equatorial Current subtropical gyre, Mozambique Channel presents numerous mesoscale eddies, which play an important role in biogeochemical dynamics, zone affected inversion seasonal Monsoon circulation. Modeling such complex systems requires consideration multiple...

10.5194/oos2025-613 preprint EN 2025-03-25

Abstract During the past 15 years, a number of initiatives have been undertaken at national level to develop ocean forecasting systems operating regional and/or global scales. The co‐ordination between these efforts has organized internationally through Global Ocean Data Assimilation Experiment (GODAE). French MERCATOR project is one leading participants in GODAE. routinely assimilate variety observations such as multi‐satellite altimeter data, sea‐surface temperature and situ salinity...

10.1256/qj.05.142 article EN Quarterly Journal of the Royal Meteorological Society 2005-10-01

Abstract. In biogeochemical models coupled to ocean circulation models, vertical mixing is an important physical process which governs the nutrient supply and plankton residence in euphotic layer. However, often poorly represented numerical simulations because of approximate parameterizations sub-grid scale turbulence, wind forcing errors other mis-represented processes such as restratification by mesoscale eddies. Getting a sufficient knowledge nature structure these necessary implement...

10.5194/os-6-247-2010 article EN cc-by Ocean science 2010-02-17

Abstract Most data assimilation algorithms require the inverse of covariance matrix observation errors. In practical applications, cost computing this with spatially correlated errors is prohibitive. Common practices are therefore to subsample or combine observations so that assimilated can be considered uncorrelated. As a consequence, large fraction available observational information not used in applications. study, method developed account for correlations will present wide-swath sea...

10.1175/jtech-d-16-0048.1 article EN other-oa Journal of Atmospheric and Oceanic Technology 2016-10-07

A central task of physical oceanography is the prediction ocean circulation at various time scales. Mathematical techniques are used in this domain not only for modeling but also enhancement simulation through data assimilation. The model concern here, namely, HYCOM, briefly presented its variables, equations, and specific vertical coordinate system. main part paper focuses on Kalman filter as a assimilation method, especially how mathematical technique, usually associated with prohibitively...

10.1137/050635717 article EN SIAM Review 2007-01-01

Abstract. The objective of this paper is to investigate if the description ocean uncertainties can be significantly improved by applying a local anamorphic transformation each model variable, and making assumption joint Gaussianity for transformed variables, rather than original variables. For that purpose, it first argued significant improvement already obtained deriving transformations from simple histogram marginal distributions. Two distinctive advantages solution large size applications...

10.5194/os-8-121-2012 article EN cc-by Ocean science 2012-03-06

Abstract. Today, the routine assimilation of satellite data into operational models ocean circulation is mature enough to enable production global reanalyses describing variability during past decades. The expansion "reanalysis" concept from physics biogeochemistry a timely challenge that motivates present study. objective this paper investigate potential benefits assimilating satellite-estimated chlorophyll basin-scale three-dimensional coupled physical–biogeochemical model North Atlantic....

10.5194/os-9-37-2013 article EN cc-by Ocean science 2013-01-16

The ocean plays an important role in the climate system on time‐scales of weeks to centuries. Despite improvements models, dynamical processes involving multiscale interactions remain poorly represented, leading errors forecasts. We present recent advances understanding, quantifying, and representing physical numerical sources uncertainty novel regional global ensembles at different horizontal resolutions. At coarse resolution, 21st century projections upper overturning cell Atlantic is...

10.1002/qj.3397 article EN cc-by Quarterly Journal of the Royal Meteorological Society 2018-10-10
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