Data assimilation: Mathematical and statistical perspectives
The bulk of this paper contains a concise mathematical overview of the subject of data
assimilation, highlighting three primary ideas:(i) the standard optimization approaches of …
assimilation, highlighting three primary ideas:(i) the standard optimization approaches of …
[PDF][PDF] Variational data assimilation: theory and overview
Data assimilation is briefly described in its variational formulation. Both three-and four-
dimensional variational assimilation are presented with an emphasis on their comparison …
dimensional variational assimilation are presented with an emphasis on their comparison …
[图书][B] Advanced data assimilation for geosciences: Lecture notes of the LES Houches School of Physics: Special issue, June 2012
Data assimilation aims at determining as accurately as possible the state of a dynamical
system by combining heterogeneous sources of information in an optimal way. Generally …
system by combining heterogeneous sources of information in an optimal way. Generally …
Data assimilation of local model error forecasts in a deterministic model
V Babovic, DR Fuhrman - International journal for numerical …, 2002 - Wiley Online Library
One of the most popular data assimilation techniques in use today are of the Kalman filter
type, which provide an improved estimate of the state of a system up to the current time level …
type, which provide an improved estimate of the state of a system up to the current time level …
[图书][B] Data assimilation fundamentals: A unified formulation of the state and parameter estimation problem
This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …
assimilation techniques from a common fundamental and optimal starting point, namely …
[图书][B] Dynamic data assimilation: a least squares approach
JM Lewis, S Lakshmivarahan, S Dhall - 2006 - books.google.com
Dynamic data assimilation is the assessment, combination and synthesis of observational
data, scientific laws and mathematical models to determine the state of a complex physical …
data, scientific laws and mathematical models to determine the state of a complex physical …
A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows
A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid
flows is presented in this research work. The main feature of this estimator is that the Kalman …
flows is presented in this research work. The main feature of this estimator is that the Kalman …
A data assimilation algorithm: The paradigm of the 3D Leray-α model of turbulence
Data assimilation is a methodology to estimate weather or ocean variables by combining
(synchronizing) information from observational data with a numerical dynamical (forecast) …
(synchronizing) information from observational data with a numerical dynamical (forecast) …
Second-order information in data assimilation
FX Le Dimet, IM Navon… - Monthly Weather …, 2002 - journals.ametsoc.org
In variational data assimilation (VDA) for meteorological and/or oceanic models, the
assimilated fields are deduced by combining the model and the gradient of a cost functional …
assimilated fields are deduced by combining the model and the gradient of a cost functional …
[PDF][PDF] Machine learning methods for data assimilation
RC Gilbert, MB Richman, TB Trafalis… - Computational …, 2010 - researchgate.net
Data assimilation is a vital step in numerical modeling, particularly in the atmospheric
sciences and oceanography. It allows for problems with uneven spatial and temporal data …
sciences and oceanography. It allows for problems with uneven spatial and temporal data …