An empirical relation to correct storm-time thermospheric mass density modeled by NRLMSISE-00 with CHAMP satellite air drag data

Zhou, Yunliang; Ma, Shuang‐Gang; Lühr, H.; Xiong, Chao; Reigber, Christoph

doi:10.1016/j.asr.2008.06.016

Cited by 31 publications

(25 citation statements)

References 21 publications

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“…Comparisons of the NRLMSISE-00 model calculations with the drag measurements on the satellites ARGOS in the altitude range 150-200 km (2000150-200 km ( -2001150-200 km ( , Aksnes et al 2007 and CHAMP at about 400 km (2002( , Zhou et al 2009) have shown that under quiet geomagnetic conditions the temperature and density height distributions given by the model were in satisfactory agreement with the measurements. However, it was found, that the model was unable to describe well the rapid enhancements in the thermospheric mass density and temperature during geomagnetic storms in October-November 2003.…”

Section: Introductionsupporting

confidence: 53%

“…However, the scientific programs of the CORONAS-F/ SPIRIT (Slemzin et al 2005), CORONAS-Photon/TESIS (Kuzin et al 2009), and PROBA2/SWAP (Seaton et al 2013) telescopes foresaw special periods of observations of the Sun in occultations to investigate the response of the upper atmosphere to long-term or short-term variations of solar and geomagnetic activity. The first results of determination of atmospheric transmittance carried out by SPIRIT in the 0.842, 17.5, and 30.4 nm spectral bands as a function of tangential altitude in solar maximum (October-November 2001) were published by Zhitnik et al (2003).…”

Section: Introductionmentioning

confidence: 99%

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Validation of Earth atmosphere models using solar EUV observations from the CORONAS and PROBA2 satellites in occultation mode

Slemzin

Ulyanov

Gaikovich

et al. 2016

J. Space Weather Space Clim.

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Aims: Knowledge of properties of the Earth's upper atmosphere is important for predicting the lifetime of low-orbit spacecraft as well as for planning operation of space instruments whose data may be distorted by atmospheric effects. The accuracy of the models commonly used for simulating the structure of the atmosphere is limited by the scarcity of the observations they are based on, so improvement of these models requires validation under different atmospheric conditions. Measurements of the absorption of the solar extreme ultraviolet (EUV) radiation in the upper atmosphere below 500 km by instruments operating on low-Earth orbits (LEO) satellites provide efficient means for such validation as well as for continuous monitoring of the upper atmosphere and for studying its response to the solar and geomagnetic activity. Method: This paper presents results of measurements of the solar EUV radiation in the 17 nm wavelength band made with the SPIRIT and TESIS telescopes on board the CORONAS satellites and the SWAP telescope on board the PROBA2 satellite in the occulted parts of the satellite orbits. The transmittance profiles of the atmosphere at altitudes between 150 and 500 km were derived from different phases of solar activity during solar cycles 23 and 24 in the quiet state of the magnetosphere and during the development of a geomagnetic storm. We developed a mathematical procedure based on the Tikhonov regularization method for solution of ill-posed problems in order to retrieve extinction coefficients from the transmittance profiles. The transmittance profiles derived from the data and the retrieved extinction coefficients are compared with simulations carried out with the NRLMSISE-00 atmosphere model maintained by Naval Research Laboratory (USA) and the DTM-2013 model developed at CNES in the framework of the FP7 project ATMOP. Results: Under quiet and slightly disturbed magnetospheric conditions during high and low solar activity the extinction coefficients calculated by both models agreed with the measurements within the data errors. The NRLMSISE-00 model was not able to predict the enhancement of extinction above 300 km observed after 14 h from the beginning of a geomagnetic storm whereas the DTM-2013 model described this variation with good accuracy.

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Section: Introductionsupporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Validation of Earth atmosphere models using solar EUV observations from the CORONAS and PROBA2 satellites in occultation mode

Slemzin

Ulyanov

Gaikovich

et al. 2016

J. Space Weather Space Clim.

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“…We have also considered geomagnetic activity prior to the CHAMP pass [cf. Aruliah et al, 1999], which can influence the thermospheric density [e.g., Sutton et al, 2005;Zhou et al, 2009] andcomposition [e.g., Crowley et al, 2006]. While the Kp ≤ 2 criterion was satisfied during and within the 3 h interval prior to the CHAMP pass, in both the cases where the ESR estimate was below that of the CHAMP measurement (cases 4 and 8), the Kp index had been raised to levels > 2 in the 24 h prior to the interval of the CHAMP measurement.…”

Section: Champ Resultsmentioning

confidence: 99%

“…[3] Global satellite drag measurements at middle and high latitudes have shown that large geomagnetic storms can result in dramatic enhancements of the atomic oxygen density of several hundred percent at altitudes near 400 km [Sutton et al, 2005;Zhou et al, 2009]. On occasions the enhancement can reach up to almost an order of magnitude [Bruinsma et al, 2006;Liu and Lühr, 2005].…”

Section: Introductionmentioning

confidence: 99%

“…Zhou et al [2009] addressed this issue by developing a method that used the dependence of the mass density changes on Joule heating power and Sym-H indices to correct the NRLMSISE-00 model [Picone et al, 2002] estimates during disturbed conditions. Through an example test of this method, Zhou et al [2009] showed that the average deviation between CHAMP satellite measurements and the NRLMSISE-00 estimates could be reduced by a factor of 3 at 400 km during storm activity.…”

Section: Introductionmentioning

confidence: 99%

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Thermospheric atomic oxygen density estimates using the EISCAT Svalbard Radar

et al. 2013

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[1] Coupling between the ionized and neutral atmosphere through particle collisions allows an indirect study of the neutral atmosphere through measurements of ionospheric plasma parameters. We estimate the neutral density of the upper thermosphere above~250 km with the European Incoherent Scatter Svalbard Radar (ESR) using the year-long operations of the International Polar Year from March 2007 to February 2008. The simplified momentum equation for atomic oxygen ions is used for field-aligned motion in the steady state, taking into account the opposing forces of plasma pressure gradients and gravity only. This restricts the technique to quiet geomagnetic periods, which applies to most of the International Polar Year during the recent very quiet solar minimum. The method works best in the height rangẽ 300-400 km where our assumptions are satisfied. Differences between Mass Spectrometer and Incoherent Scatter and ESR estimates are found to vary with altitude, season, and magnetic disturbance, with the largest discrepancies during the winter months. A total of 9 out of 10 in situ passes by the CHAMP satellite above Svalbard at 350 km altitude agree with the ESR neutral density estimates to within the error bars of the measurements during quiet geomagnetic periods.

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A method to predict thermospheric mass density response to geomagnetic disturbances using time‐integrated auroral electrojet index

Iipponen

Laitinen

2015

JGR Space Physics

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Using the thermospheric mass density measurements from the European Space Agency's Gravity field and steady state Ocean Circulation Explorer (GOCE) satellite, we develop a new empirical geomagnetic disturbance time correction based on integrating the auroral electrojet (AE) index. For this, a US Naval Research Laboratory Mass Spectrometer and Incoherent Scatter Radar (NRLMSISE‐00) model with no geomagnetic parametrization is subtracted from the GOCE densities, and the regressions between the time‐integrated AE index and density residuals are computed as a function of latitude, solar time, and day of year. When we add this correction to the quiet time reference NRLMSISE‐00 model, it increases the model's disturbance time correlation with the 270 km normalized GOCE densities from 0.71 to 0.86. We assess the effect of integrating thermospheric density proxies with respect to time using both geomagnetic and solar indices and discover that the integration of AE, ap, and the epsilon parameter significantly increase their correlation with the orbit‐averaged GOCE densities. We compare the predictions of our empirical correction with the NRLMSISE‐00 and Jacchia‐Bowman (JB2008) models, and significant deviations from the measurements are discovered. The NRLMSISE‐00 is confirmed to generally underestimate the density enhancement, and the latitudinal shape of the predicted response shows too low enhancements at middle latitudes. Even though these are not issues for the JB2008 model, it performs weaker than the NRLMSISE‐00 at reproducing the orbit‐averaged densities. This unexpected result is attributed to the weakness of the ap parametrization, which is used in the model during smaller disturbances.

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An empirical relation to correct storm-time thermospheric mass density modeled by NRLMSISE-00 with CHAMP satellite air drag data

Cited by 31 publications

References 21 publications

Validation of Earth atmosphere models using solar EUV observations from the CORONAS and PROBA2 satellites in occultation mode

Validation of Earth atmosphere models using solar EUV observations from the CORONAS and PROBA2 satellites in occultation mode

Thermospheric atomic oxygen density estimates using the EISCAT Svalbard Radar

A method to predict thermospheric mass density response to geomagnetic disturbances using time‐integrated auroral electrojet index

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