Results 181 to 190 of about 7,932,226 (201)
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Chinese Journal of Geophysics, 2008
AbstractThe empirical orthogonal function (EOF) analysis has been applied to studying the ionospheric electron density profiles between 160 and 700 km by using the data of the incoherent scatter radar at Millstone Hill from February 1976 to April 2006. The mean electron density profile and the first three terms of EOF series superposed on the mean term
Weixing Wan
exaly +2 more sources
AbstractThe empirical orthogonal function (EOF) analysis has been applied to studying the ionospheric electron density profiles between 160 and 700 km by using the data of the incoherent scatter radar at Millstone Hill from February 1976 to April 2006. The mean electron density profile and the first three terms of EOF series superposed on the mean term
Weixing Wan
exaly +2 more sources
Deep-Sea Research Part II: Topical Studies in Oceanography, 2007
Abstract Seasonal and interannual variability of surface chlorophyll concentration in the Bering Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) from 1998 to 2002.
Sei-Ichi Saitoh, Takahiro Iida
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Abstract Seasonal and interannual variability of surface chlorophyll concentration in the Bering Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) from 1998 to 2002.
Sei-Ichi Saitoh, Takahiro Iida
exaly +2 more sources
Empirical orthogonal function (EOF) analysis of ozone variability
1995Abstract Empirical orthogonal function (EOF) analysis was applied to the monthly averages of the TOMS ozone data set from November 1978 to October, 1993 for two latitude ranges. The EOF method yields a set of orthogonal (spatial) functions (or base-patterns) with are, unlike in most other decomposition methods (where the set is usually predefined ...
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Stochastic Hydrology & Hydraulics, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Braud, I., Obled, Ch., Pham Dinh Tuan
exaly +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Braud, I., Obled, Ch., Pham Dinh Tuan
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Journal of Climate
Abstract This study investigates the relationship between the uncertainty of empirical orthogonal function (EOF) modes and sampling size in climate models, using simulated results of preindustrial control (piControl) experiments in phase 6 of the Coupled Model Intercomparison Project (CMIP6), and taking the North Atlantic Oscillation (NAO) and El NiƱo ...
Tong Shen, Riyu Lu
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Abstract This study investigates the relationship between the uncertainty of empirical orthogonal function (EOF) modes and sampling size in climate models, using simulated results of preindustrial control (piControl) experiments in phase 6 of the Coupled Model Intercomparison Project (CMIP6), and taking the North Atlantic Oscillation (NAO) and El NiƱo ...
Tong Shen, Riyu Lu
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Journal of Ocean University of China, 2019
Environmental load is the primary factor in the design of offshore engineering structures and ocean current is the principal environmental load that causes underwater structural failure. In computational analysis, the calculation of current load is mainly based on the current profile.
Wenhua Wu +3 more
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Environmental load is the primary factor in the design of offshore engineering structures and ocean current is the principal environmental load that causes underwater structural failure. In computational analysis, the calculation of current load is mainly based on the current profile.
Wenhua Wu +3 more
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1994
The basis for including EOF (empirical orthogonal functions) in storm surge computations consists of the presented equations of the multiple dynamic regression system. The use of EOF is then the best mathematical tool for minimizing the number of substitute predictors in the system.
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The basis for including EOF (empirical orthogonal functions) in storm surge computations consists of the presented equations of the multiple dynamic regression system. The use of EOF is then the best mathematical tool for minimizing the number of substitute predictors in the system.
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2018
This data set is a product of the manuscript titled: "Understanding the Global Variability in Thermospheric Nitric Oxide Flux Using Empirical Orthogonal Functions (EOFs)" by S. Flynn, D. Knipp, T. Matsuo, M. Mlynczak, and L. Hunt This MATLAB save file contains all of the input and output variables to the SABER NOF EOF Analysis (the mean + first 7 ...
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This data set is a product of the manuscript titled: "Understanding the Global Variability in Thermospheric Nitric Oxide Flux Using Empirical Orthogonal Functions (EOFs)" by S. Flynn, D. Knipp, T. Matsuo, M. Mlynczak, and L. Hunt This MATLAB save file contains all of the input and output variables to the SABER NOF EOF Analysis (the mean + first 7 ...
openaire +1 more source

