Data assimilation in the geosciences: An overview of methods, issues, and perspectives

A Carrassi, M Bocquet, L Bertino… - Wiley Interdisciplinary …, 2018 - Wiley Online Library
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

Regional ocean data assimilation

CA Edwards, AM Moore, I Hoteit… - Annual review of …, 2015 - annualreviews.org
This article reviews the past 15 years of developments in regional ocean data assimilation. A
variety of scientific, management, and safety-related objectives motivate marine scientists to …

[图书][B] Data assimilation fundamentals: A unified formulation of the state and parameter estimation problem

G Evensen, FC Vossepoel, PJ Van Leeuwen - 2022 - library.oapen.org
This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …

[HTML][HTML] Review of the ensemble Kalman filter for atmospheric data assimilation

PL Houtekamer, F Zhang - Monthly Weather Review, 2016 - journals.ametsoc.org
Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …

A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC

L Kong, X Tang, J Zhu, Z Wang, J Li… - Earth System …, 2021 - essd.copernicus.org
A 6-year-long high-resolution Chinese air quality reanalysis (CAQRA) dataset is presented
in this study obtained from the assimilation of surface observations from the China National …

TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic

P Sakov, F Counillon, L Bertino, KA Lisæter… - Ocean …, 2012 - os.copernicus.org
We present a detailed description of TOPAZ4, the latest version of TOPAZ–a coupled ocean-
sea ice data assimilation system for the North Atlantic Ocean and Arctic. It is the only …

Autodifferentiable ensemble Kalman filters

Y Chen, D Sanz-Alonso, R Willett - SIAM Journal on Mathematics of Data …, 2022 - SIAM
Data assimilation is concerned with sequentially estimating a temporally evolving state. This
task, which arises in a wide range of scientific and engineering applications, is particularly …

History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations

AA Emerick, AC Reynolds - Computational Geosciences, 2012 - Springer
Abstract The ensemble Kalman filter (EnKF) has become a popular method for history
matching production and seismic data in petroleum reservoir models. However, it is known …

Investigation of the sampling performance of ensemble-based methods with a simple reservoir model

AA Emerick, AC Reynolds - Computational Geosciences, 2013 - Springer
The application of the ensemble Kalman filter (EnKF) for history matching petroleum
reservoir models has been the subject of intense investigation during the past 10 years …

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 …