Results 21 to 30 of about 7,530,486 (302)
Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]
, 2014 In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches,
CLENET, Stephane, HENNERON, Thomas
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Joint Inversion for Sound Speed Field and Moving Source Localization in Shallow Water
Journal of Marine Science and Engineering, 2019 This paper develops a joint approach for time-evolving sound speed field (SSF) inversion and moving source localization in shallow water environment. The SSF is parameterized in terms of the first three empirical orthogonal function (EOF) coefficients ...
Miao Dai, Yaan Li, Kunde Yang
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Geophysical Research Letters, 2022 Various indices have been defined to characterize the phase and amplitude of the Madden‐Julian oscillation (MJO). One widely used index is the outgoing longwave radiation (OLR) based MJO index (OMI), which is calculated using the spatial pattern of 30–96‐
Sarah Weidman +2 more
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Ensemble inference in terms of empirical orthogonal functions [PDF]
Geophysical Journal International, 1996 SUMMARY Many geophysical problems involve inverting data in order to obtain meaningful descriptions of the Earth‘s interior. One of the basic characteristics of these inverse problems is their non-uniqueness. Since computation power has increased enormously in the last few years, it has become possible to deal with this non-uniqueness by generating and
H. Douma, R. Snieder, A. Lomax
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An Ensemble‐Based Eddy and Spectral Analysis, With Application to the Gulf Stream
Journal of Advances in Modeling Earth Systems, 2022 The “eddying” ocean, recognized for several decades, has been the focus of much observational and theoretical research. We here describe a generalization for the analysis of eddy energy, based on the use of ensembles, that addresses two key related ...
Takaya Uchida +3 more
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Universe, 2023 In this study, the variability of the ionospheric total electron content (TEC) in the South Atlantic Anomaly (SAA) in the solar maximum of 2002 and the solar minimum of 2008 were compared by using an empirical orthogonal function (EOF) analysis.
Jing Yu +8 more
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, 2003 A construction algorithm for multioutput radial basis function (RBF) network modelling is introduced by combining a locally regularised orthogonal least squares (LROLS) model selection with a D-optimality experimental design.
Harris, C. J. +3 more
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NARX-based nonlinear system identification using orthogonal least squares basis hunting [PDF]
, 2008 An orthogonal least squares technique for basis hunting (OLS-BH) is proposed to construct sparse radial basis function (RBF) models for NARX-type nonlinear systems.
Wang, X.X. +2 more
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Regularised empirical orthogonal functions
Tellus A: Dynamic Meteorology and Oceanography, 2016 Empirical orthogonal functions, extensively used in weather/climate research, suffer serious geometric drawbacks such as orthogonality in space and time and mixing. The present paper presents a different version, the regularised (or smooth) empirical orthogonal function (EOF) method, by including a regularisation constraint, which originates from the ...
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On Sampling Errors in Empirical Orthogonal Functions
Journal of Climate, 2005 Abstract A perturbation analysis is carried out to quantify the eigenvector errors due to the mixing with other eigenvectors that occur when empirical orthogonal functions (EOFs) are computed for a finite-size data sample. Explicit forms are provided for the second-order eigenvalue error and first-order eigenvector error. The eigenvector
John M. Wallace +2 more
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