Biblio
Filtre: Forfatter er Simon, Ehouarn [Slett Alle Filtre]
A Kernel Extension of the Ensemble Transform Kalman Filter. Lecture Notes in Computer Science (LNCS) 10476, (2023). Abstract
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
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).
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).
Multigrid algorithms and local mesh refinement methods in the context of variational data assimilation. Advanced Data Assimilation for GeosciencesLecture Notes of the Les Houches School of Physics: Special Issue, June 2012 (2014).på <http://ukcatalogue.oup.com/product/academic/series/physics/lnlh/9780198723844.do#>
Report on error quantified hindcast with data assimilation (GreenSeas). NERSC Technical Report (2012). Last ned: Simon_NERSC_TechReport_328.pdf (961.12 KB)
Advanced data assimilation in oceanography. META 5, 8-12 (2012). Last ned: META_Bertino.pdf (2.77 MB)
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
Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model. Journal of Marine Systems 89, (2012).
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
Last ned: Simon_etal_IJNMF11.pdf (1.29 MB)
Forecasting non-linear systems with the Ensemble Kalman Filter and related data assimilation methods (eVITA-EnKF). 19 (2011). Last ned: all.pdf (712.46 KB)
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).på <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract
Last ned: 5_7_1_3simon.pdf (412.76 KB)
