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Evaluating Data Assimilation Algorithms
Data Assimilation Algorithms Data Analysis Statistics and Probability
2011/10/9
Abstract: Data assimilation refers to methodologies for the incorporation of noisy observations of a physical system into an underlying model in order to infer the properties of the state of the syste...
Self-Consistent Stochastic Model Errors in Data Assimilation
37-XX 37-XX 37-XX 86-XX 86-08 46N55
2010/12/28
In using data assimilation to import information from observations to estimate parameters
and state variables of a model, one must assume a distribution for the noise in the measure-
ments and in th...
Evolutionary Algorithm-Based Error Parameterization Methods for Data Assimilation
Evolutionary Algorithm-Based Error Parameterization Methods Data Assimilation
2013/9/2
The methods of parameterizing model errors have a substantial effect on the accuracy of ensemble data assimilation. After a review of the current error-handling methods, a new blending error parameter...
A nudging-based data assimilation method:the Back and Forth Nudging (BFN) algorithm
nudging-based data assimilation method BFN algorithm
2009/10/30
This paper deals with a new data assimilation algorithm, called Back and Forth Nudging. The standard nudging technique consists in adding to the equations of the model a relaxation term that is suppos...