Biblio

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R
Simon, E., Samuelsen, A. & Bertino, L. Report on error quantified hindcast with data assimilation (GreenSeas). NERSC Technical Report (2012).
O
Gharamti, M.E., et al. 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 168, (2017). Abstract
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Debreu, L., Neveu, E., Simon, E. & Dimet, F.X.L. Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation. (2014).at <http://ukcatalogue.oup.com/product/academic/series/physics/lnlh/9780198723844.do#>
J
Simon, E. & Bertino, L. Joint state-parameter estimation in a 3-D coupled physical-ecosystem model of the North Atlantic: assimilation of SeaWiFS data with a non-Gaussian extension of an ESRF. ESA Living Planet Symposium (2010).at <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract
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Simon, E. & Bertino, L. Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. Journal of Marine Systems 89, (2012).
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Bertino, L., et al. Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 19 (2011).
E
Simon, E., Samuelsen, A., Bertino, L. & Mouysset, S. 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 152, (2015).
Simon, E., Samuelsen, A., Bertino, L. & Dumont, D. Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment. Ocean Science (2012).doi:10.5194/os-8-587-2012
B
Gehlen, M., et al. 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 8, (2015).
A
Simon, E. & Bertino, L. 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 5, (2009).
Pelc, J.S., Simon, E., Bertino, L., El Serafy, G. & Heemink, A.W. Application of model reduced 4D-Var to a 1D ecosystem model. Ocean Modelling 57-58, (2012).
Bertino, L., Samuelsen, A., Counillon, F., Simon, E. & Sakov, P. Advanced data assimilation in oceanography. META 5, 8-12 (2012).
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Debreu, L., Simon, E. & Blayo, E. 4D Variational Data Assimilation for Locally Nested Models : optimality system and preliminary numerical experiments. (2011).at <http://hal.inria.fr/docs/00/60/71/77/PDF/RR-7675.pdf>
Simon, E., Debreu, L. & Blayo, E. 4D Variational Data Assimilation for Locally Nested Models: complementary theoretical aspects and application to a 2D shallow water model. International Journal for Numerical Methods in Fluids 66, (2011). Abstract
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Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies
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Nansen International Environmental and Remote Sensing Center
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Nansen Environmental Research Center – India
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Nansen–Zhu International Research Centre
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Nansen-Tutu Centre for Marine Environmental Research
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