The Copernicus global 1/12 oceanic and sea ice GLORYS12 reanalysis

L Jean-Michel, G Eric, BB Romain, G Gilles… - Frontiers in Earth …, 2021 - frontiersin.org
GLORYS12 is a global eddy-resolving physical ocean and sea ice reanalysis at 1/12°
horizontal resolution covering the 1993-present altimetry period, designed and implemented …

An introduction to data assimilation and predictability in geomagnetism

A Fournier, G Hulot, D Jault, W Kuang, A Tangborn… - Space science …, 2010 - Springer
Data assimilation in geomagnetism designates the set of inverse methods for geomagnetic
data analysis which rely on an underlying prognostic numerical model of core dynamics …

[图书][B] Data assimilation: methods, algorithms, and applications

M Asch, M Bocquet, M Nodet - 2016 - SIAM
This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

An iterative ensemble Kalman smoother

M Bocquet, P Sakov - Quarterly Journal of the Royal …, 2014 - Wiley Online Library
The iterative ensemble Kalman filter (IEnKF) was recently proposed in order to improve the
performance of ensemble Kalman filtering with strongly nonlinear geophysical models. The …

Ensemble-based uncertainty estimation in full waveform inversion

J Thurin, R Brossier, L Métivier - Geophysical Journal …, 2019 - academic.oup.com
Uncertainty estimation and quality control are critically missing in most geophysical
tomographic applications. The few solutions to cope with that issue are often left out in …

Joint state and parameter estimation with an iterative ensemble Kalman smoother

M Bocquet, P Sakov - Nonlinear Processes in Geophysics, 2013 - npg.copernicus.org
Both ensemble filtering and variational data assimilation methods have proven useful in the
joint estimation of state variables and parameters of geophysical models. Yet, their …

[PDF][PDF] Data assimilation in oceanography: Current status and new directions

I Hoteit, X Luo, M Bocquet, A Kohl… - New frontiers in …, 2018 - diginole.lib.fsu.edu
Characterizing and forecasting the state of the ocean is essential for various scientific,
management, commercial, and recreational applications. This is, however, a challenging …

[HTML][HTML] Smoothing problems in a Bayesian framework and their linear Gaussian solutions

E Cosme, J Verron, P Brasseur, J Blum… - Monthly Weather …, 2012 - journals.ametsoc.org
Smoothers are increasingly used in geophysics. Several linear Gaussian algorithms exist,
and the general picture may appear somewhat confusing. This paper attempts to stand back …

DADA: data assimilation for the detection and attribution of weather and climate-related events

A Hannart, A Carrassi, M Bocquet, M Ghil, P Naveau… - Climatic Change, 2016 - Springer
We describe a new approach that allows for systematic causal attribution of weather and
climate-related events, in near-real time. The method is designed so as to facilitate its …

Local uncertainty quantification for 3-D time-domain full-waveform inversion with ensemble Kalman filters: application to a North Sea OBC data set

A Hoffmann, R Brossier, L Métivier… - Geophysical Journal …, 2024 - academic.oup.com
Full-waveform inversion (FWI) has emerged as the state-of-the art high resolution seismic
imaging technique, both in seismology for global and regional scale imaging and in the …