2016
DOI: 10.1186/s40623-016-0455-8
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Thermospheric inter-annual variability and its potential connection to ENSO and stratospheric QBO

Abstract: Using a 46-year-long dataset of the thermospheric density during 1967-2012, we examined the inter-annual variability in the thermosphere at 400 km and its potential connection to El-Nino Southern Oscillation (ENSO) and stratospheric Quasi-Biennial Oscillation (QBO). Wavelet analysis reveals two major modes of the thermosphere inter-annual oscillation, with the slower mode having an average period of ~64 months and the faster mode of ~28 months. The slower mode bears high coherence with the ENSO during 1982-201… Show more

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Cited by 18 publications
(22 citation statements)
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“…Among the DFT based calculations, the thermodynamic properties and phase transition of MgSiO 3 at high pressure were calculated in a pure GGA simulation. [21] Here we discuss the results of new simulations of Raman spectra of orthoenstatite from first principles, by means of CRYSTAL14, [22] employing the hybrid Hamiltonian WC1LYP, [1] which is particularly suitable to calculate modes wavenumbers, as demonstrated for C2/c pyroxenes, like diopside, jadeite and spodumene [23][24][25] and in the À1 plagioclase albite. [26] Full Raman spectra are simulated, and the peak assignment is discussed in comparison with computational and experimental literature; the contribution of each atom to the vibration is assessed performing a building unit decomposition of the vibrational modes and by means of isotopic substitutions.…”
Section: Introductionmentioning
confidence: 99%
“…Among the DFT based calculations, the thermodynamic properties and phase transition of MgSiO 3 at high pressure were calculated in a pure GGA simulation. [21] Here we discuss the results of new simulations of Raman spectra of orthoenstatite from first principles, by means of CRYSTAL14, [22] employing the hybrid Hamiltonian WC1LYP, [1] which is particularly suitable to calculate modes wavenumbers, as demonstrated for C2/c pyroxenes, like diopside, jadeite and spodumene [23][24][25] and in the À1 plagioclase albite. [26] Full Raman spectra are simulated, and the peak assignment is discussed in comparison with computational and experimental literature; the contribution of each atom to the vibration is assessed performing a building unit decomposition of the vibrational modes and by means of isotopic substitutions.…”
Section: Introductionmentioning
confidence: 99%
“…Ionospheric plasma density structures are highly variable on broad range of temporal and spatial scales, and the solar activity and lower atmosphere forcing are the major drivers. The El Niño-Southern Oscillation (ENSO) oceanatmosphere coupling phenomenon is one of the significant sources of variability in the thermosphere (Gurubaran et al 2005;Lieberman et al 2007;Liu 2012, 2013;Warner and Oberheide 2014;Liu 2016;Liu et al 2017;Sun et al 2018). However, studies on the ENSO signature in the ionosphere are rare and challenging (Pedatella and Forbes 2009;Pedatella and Liu 2013;Chang et al 2018) due to the complex nature of the atmosphere-ionosphere-solar system.…”
Section: Introductionmentioning
confidence: 99%
“…Using a 46 year long data set of the thermospheric density during 1967–2012, Liu [] examined the interannual variability of the thermosphere density. Two major oscillation modes were revealed, with the slower mode having an average period of ∼64 months and the faster mode of ∼28 months.…”
Section: Density Variabilities Due To Lower Atmosphere Forcingmentioning
confidence: 99%
“…Thick contours enclose regions of greater than 95% significance level. The arrows indicate the relative phase relationship between the time series, right: in phase; left: antiphase; down: Nino3/QBO leading Δ ρ by 90°; and up: Δ ρ leading Nino3/QBO by 90° [from Liu , ].…”
Section: Density Variabilities Due To Lower Atmosphere Forcingmentioning
confidence: 99%