Dynamics of the Earth's Thermosphere: A Review

Crowley, G.

doi:10.1002/rog.1991.29.s2.1143

Cited by 34 publications

(17 citation statements)

References 341 publications

(315 reference statements)

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“…These models include so-called Thermosphere Global Circulation Models (TGCMs) and localised, high resolution models [e.g., Crowley, 1991;Peymirat et al, 1998;. Recent versions are usually part of larger coupled thermosphere-ionosphere-magnetosphere models.…”

Section: Physical Modelsmentioning

confidence: 99%

Thermospheric Density and Wind Determination from Satellite Dynamics

Doornbos¹

2012

Springer Theses

156

212

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Section: Physical Modelsmentioning

confidence: 99%

Thermospheric Density and Wind Determination from Satellite Dynamics

Doornbos¹

2012

Springer Theses

156

212

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“…Matuura, 1972;Romanoysky and Katyushina, 1974;Prölss, 1980;Crowley, 1991;Fuller-Rowell et al, 1994;Forbes et al, 1996;Burke et al, 2009). After the launch of the satellites CHAMP in 2000 and GRACE in 2002, new comprehensive and high-resolution datasets enable us to study the thermosphere on a long-term basis and from the global point of view.…”

Section: Introductionmentioning

confidence: 99%

Predicting storm-time thermospheric mass density variations at CHAMP and GRACE altitudes

Liu

Lühr

2011

Ann. Geophys.

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Abstract. Orbit-averaged mass density measurements derived from the satellites CHAMP and GRACE are used to investigate the storm-time prediction model developed by Liu et al. (2010) at different altitudes. This model uses as input only the solar wind merging electric field. From 2002 to 2005 in total 31 major geomagnetic storms with minimum Dst< −100 nT are selected for a statistical study. The results show that the model can successfully predict the storm-time mass density changes at both CHAMP and GRACE altitudes. The orbit-averaged density of CHAMP and GRACE show very similar distribution in shape, regardless of the orbital local time difference, but the amplitude of GRACE density is about 30% of that of CHAMP density. An optimal delay time of 4.5 h has been found for both CHAMP and GRACE densities. During the four years the scale factor a between merging electric field and mass density for CHAMP altitude remains basically at the same level, a = 0.5, while the a for GRACE density shows a declining trend, and its value is only 30% of that for CHAMP density. The storms driven by corotating interaction regions (CIR) have in general larger a values than the storms driven by coronal mass ejections (CMEs).

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“…The relationship between geomagnetic input and ionospheric and thermospheric density has been studied for decades (e.g. Matuura, 1972;Prölss, 1980;Crowley, 1991;Forbes et al, 1996). Meanwhile many atmospheric models are developed with the purpose of predicting the mass density as close as possible.…”

Section: Introductionmentioning

confidence: 99%

Thermospheric mass density variations during geomagnetic storms and a prediction model based on the merging electric field

et al. 2010

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Abstract. With the help of four years (2002)(2003)(2004)(2005) of CHAMP accelerometer data we have investigated the dependence of low and mid latitude thermospheric density on the merging electric field, E m , during major magnetic storms. Altogether 30 intensive storm events (Dst min < −100 nT) are chosen for a statistical study. In order to achieve a good correlation E m is preconditioned. Contrary to general opinion, E m has to be applied without saturation effect in order to obtain good results for magnetic storms of all activity levels. The memory effect of the thermosphere is accounted for by a weighted integration of E m over the past 3 h. In addition, a lag time of the mass density response to solar wind input of 0 to 4.5 h depending on latitude and local time is considered. A linear model using the preconditioned E m as main controlling parameter for predicting mass density changes during magnetic storms is developed: ρ = 0.5E m + ρ amb , where ρ amb is based on the mean density during the quiet day before the storm. We show that this simple relation predicts all storm-induced mass density variations at CHAMP altitude fairly well especially if orbital averages are considered.

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Dynamics of the Earth's Thermosphere: A Review

Cited by 34 publications

References 341 publications

Thermospheric Density and Wind Determination from Satellite Dynamics

Thermospheric Density and Wind Determination from Satellite Dynamics

Predicting storm-time thermospheric mass density variations at CHAMP and GRACE altitudes

Thermospheric mass density variations during geomagnetic storms and a prediction model based on the merging electric field

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