Results 1 to 10 of about 7,932,226 (201)

Statistical characteristics of the total ion density in the topside ionosphere during the period 1996-2004 using empirical orthogonal function (EOF) analysis [PDF]

open access: yesAnnales Geophysicae, 2005
We have applied the empirical orthogonal function (EOF) analysis to examine the climatology of the total ion density Ni at 840 km during the period 1996-2004, obtained from the Defense Meteorological Satellite Program (DMSP) spacecraft.
B. Zhao   +8 more
doaj   +7 more sources

Deciphering organization of GOES-16 green cumulus through the empirical orthogonal function (EOF) lens [PDF]

open access: yesAtmospheric Chemistry and Physics, 2021
A subset of continental shallow convective cumulus (Cu) cloud fields has been shown to have distinct spatial properties and to form mostly over forests and vegetated areas, thus referred to as “green Cu” (Dror et al., 2020).
T. Dror   +3 more
doaj   +3 more sources

Evaluation of Technology for the Analysis and Forecasting of Precipitation Using Cyclostationary EOF and Regression Method

open access: yesAtmosphere, 2022
Precipitation time series exhibit complex fluctuations and statistical changes. Existing research stops short of a simple and feasible model for precipitation forecasting.
Mingdong Sun   +3 more
doaj   +2 more sources

Effectiveness of empirical orthogonal function used in decorrelation of GRACE time-variable gravity field

open access: yesGeodesy and Geodynamics, 2015
Empirical orthogonal function (EOF) was used to process the spherical harmonic coefficient (SHC) of 115 Gravity Recovery and Climate Experiment (GRACE) RL05 monthly gravity field models from March 2003 to February 2013 released by CSR (Center for Space ...
Qian Zhao, Yunlong Wu, Weiwei Wu
doaj   +2 more sources

Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method

open access: yesSpace Weather, 2023
We develop a climatological model for the Arctic ionosphere based on more than one solar cycle of data (2010–2021) of the rate of change of the total electron content index (ROTI) maps from the International GNSS Service (IGS).
Yaqi Jin   +7 more
doaj   +2 more sources

Modeling of GPS total electron content over the African low-latitude region using empirical orthogonal functions [PDF]

open access: yesAnnales Geophysicae, 2019
In this paper, an empirical total electron content (TEC) model and trends in the TEC over the African low-latitude region are presented. GPS-derived TEC data from Malindi, Kenya (geographic coordinates 40.194∘ E, 2.996∘ S), and global ...
G. Andima   +4 more
doaj   +3 more sources

Empirical Modeling of Ionospheric Current Using Empirical Orthogonal Function Analysis and Artificial Neural Network

open access: yesSpace Weather, 2021
Given the potential importance of solar quiet (Sq) ionospheric current in geomagnetic field modeling, it is vital to obtain accurate parameters characterizing its variations, particularly the spatial and temporal variations. In this paper, we derived the
Charles Owolabi   +7 more
doaj   +1 more source

Reconstructing Sound Speed Profile From Remote Sensing Data: Nonlinear Inversion Based on Self-Organizing Map

open access: yesIEEE Access, 2021
By establishing a linear regression relationship between the projection coefficient of the empirical orthogonal function (EOF) of the sound speed profile (SSP) and remote sensing parameters of the sea surface, the single empirical orthogonal function ...
Haipeng Li, Ke Qu, Jianbo Zhou
doaj   +1 more source

A global model of the ionospheric F2 peak height based on EOF analysis [PDF]

open access: yesAnnales Geophysicae, 2009
The ionospheric F2 peak height hmF2 is an important parameter that is much needed in ionospheric research and practical applications. In this paper, an attempt is made to develop a global model of hmF2.
M.-L. Zhang   +4 more
doaj   +1 more source

Persistent Spatial Patterns of Listeria monocytogenes and Salmonella enterica Concentrations in Surface Waters: Empirical Orthogonal Function Analysis of Data from Maryland

open access: yesApplied Sciences, 2022
High spatiotemporal variability of pathogen concentrations in surface waters complicates the design and interpretation of microbial water quality monitoring.
Seongyun Kim   +11 more
doaj   +1 more source

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