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 …
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 …
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 …
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 …
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 …
Characterizing and forecasting the state of the ocean is essential for various scientific, management, commercial, and recreational applications. This is, however, a challenging …
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 …
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 …
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 …