modeling thermosphere density and temperature variations

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Modeling Thermosphere Density and Temperature Variations L. Qian 1 , S. C. Solomon 1 , R. G. Roble 1 , B. R. Bowman 2 , and F. A. Marcos 3 1 High Altitude Observatory, National Center for Atmospheric Research 2 Air Force Space Command 3 Air Force Research Lab Abstract The NCAR Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM) is employed to quantify thermospheric neutral density and its variations, focusing on the global seasonal variation and the solar activity dependence. Solar X-ray, extreme- ultraviolet (EUV), and far-ultraviolet (FUV) spectral irradiance measurements from the Solar EUV Experiment (SEE) on the TIMED satellite are used to drive the model. Density measurements derived from the atmospheric drag on a set of 5 low-earth orbiting satellites are compared to TIEGCM results, and to the MSIS-00 empirical model. Center for Integrated Space Weather Modeling Annual Site Visit 5 June 2007 Average ratio of satellite drag- derived density to the TIEGCM simulated neutral density, for all 5 satellites. Green: with effects from annual insolation variation and large-scale circulation, but with constant eddy diffusion; Red: added an annual/semiannual variation of eddy diffusion. Modeling the Annual/Semiannual Density Variation Satellite drag data showed that thermospheric neutral density exhibits a global annual/semiannual variation that maximizes in April and October and minimizes in July with a secondary minimum in January. TIEGCM simulations indicated that an annual/semiannual variation in eddy diffusion, together with annual insolation variation and large- scale circulation, caused annual/semiannual variation in thermospheric neutral density. -2.00 -1.50 -1.00 -0.50 0.00 0.50 1.00 0 50 100 150 200 250 300 350 D ay ofYear S o lar M ax Years S o lar M in Y ears A ve Ju ly M in = D ay 209 , Sig = 20 days A ve July M in = D ay 204 , Sig = 12 days Annual/semiannual density variation detected by satellite drag data [Bowman, 2004] An annual/semiannual variation of eddy diffusion, comparable to observations and gravity-wave breaking theory, were imposed at lower boundary of the TIEGCM. Solar-Cycle Variation of Thermospheric Density It has been observed that empirical models of the thermosphere based on the F 10.7 index overestimate neutral density at low solar activity. Density simulated using the TIEGCM using measured solar irradiance from TIMED/SEE as input eliminated this solar-activity dependence. Ratio of satellite drag derived density to the TIEGCM and MSIS-00 models, from 2002- 2004, as a function of F 10.7 . Comparison of Modeled Density to Satellite-Drag Derived Density Comparison of TIEGCM and MSIS00 to satellite drag- derived density for the entire year of 2003. Top: density at perigee location. Bottom: ratio of model to measured densities. (a) Thermospheric neutral density near 400 km from 2001 to 2006. The density is daily-averaged density at satellite perigee locations. (b) The TIMED/SEE integrated (5 nm to 105 nm) solar EUV flux. (c) F 10.7 index and Ap index. Comparison of TIEGCM and MSIS00 to satellite drag- derived density. Left: solar rotational variation during early 2003. Right: geomagnetic variation during the October- November “Halloween” storms of 2003. Ratio of satellite drag derived density to the Jacchia 70 empirical model as a function of F 10.7 , [Marcos et al., 2005]. MSIS-00 TIE-GCM Mean 1.03 0.99 Std. Dev. 0.20 0.14 Ratio averages for all five satellites:

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Modeling Thermosphere Density and Temperature Variations L. Qian 1 , S. C. Solomon 1 , R. G. Roble 1 , B. R. Bowman 2 , and F. A. Marcos 3 1 High Altitude Observatory, National Center for Atmospheric Research 2 Air Force Space Command 3 Air Force Research Lab. Abstract - PowerPoint PPT Presentation

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Page 1: Modeling Thermosphere Density and Temperature Variations

Modeling Thermosphere Density and Temperature VariationsL. Qian1, S. C. Solomon1, R. G. Roble1, B. R. Bowman2, and F. A. Marcos3

1High Altitude Observatory, National Center for Atmospheric Research 2Air Force Space Command 3Air Force Research Lab

Abstract The NCAR Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM) is employed to quantify thermospheric neutral density and its variations, focusing on the global seasonal variation and the solar activity dependence. Solar X-ray, extreme-ultraviolet (EUV), and far-ultraviolet (FUV) spectral irradiance measurements from the Solar EUV Experiment (SEE) on the TIMED satellite are used to drive the model. Density measurements derived from the atmospheric drag on a set of 5 low-earth orbiting satellites are compared to TIEGCM results, and to the MSIS-00 empirical model.

Center for Integrated Space Weather Modeling • Annual Site Visit • 5 June 2007

Average ratio of satellite drag-derived density to the TIEGCM simulated neutral density, for all 5 satellites. Green: with effects from annual insolation variation and large-scale circulation, but with constant eddy diffusion; Red: added an annual/semiannual variation of eddy diffusion.

Modeling the Annual/Semiannual Density Variation

Satellite drag data showed that thermospheric neutral density exhibits a global annual/semiannual variation that maximizes in April and October and minimizes in July with a secondary minimum in January. TIEGCM simulations indicated that an annual/semiannual variation in eddy diffusion, together with annual insolation variation and large-scale circulation, caused annual/semiannual variation in thermospheric neutral density.

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-1.50

-1.00

-0.50

0.00

0.50

1.00

0 50 100 150 200 250 300 350

Day of Year

G(t)

Solar Max Years

Solar Min Years

Ave July Min = Day 209 , Sig = 20 days

Ave July Min = Day 204 , Sig = 12 days

Annual/semiannual density variation detected by satellite drag data [Bowman, 2004]

An annual/semiannual variation of eddy diffusion, comparable to observations and gravity-wave breaking theory, were imposed at lower boundary of the TIEGCM.

Solar-Cycle Variation of Thermospheric Density

It has been observed that empirical models of the thermosphere based on the F10.7 index overestimate neutral density at low solar activity. Density simulated using the TIEGCM using measured solar irradiance from TIMED/SEE as input eliminated this solar-activity dependence.

Ratio of satellite drag derived density to the TIEGCM and MSIS-00 models, from 2002-2004, as a function of F10.7.

Comparison of Modeled Density to Satellite-Drag Derived Density

Comparison of TIEGCM and MSIS00 to satellite drag-derived density for the entire year of 2003. Top: density at perigee location. Bottom: ratio of model to measured densities.

(a) Thermospheric neutral density near 400 km from 2001 to 2006. The density is daily-averaged density at satellite perigee locations. (b) The TIMED/SEE integrated (5 nm to 105 nm) solar EUV flux. (c) F10.7 index and Ap index.

Comparison of TIEGCM and MSIS00 to satellite drag-derived density. Left: solar rotational variation during early 2003. Right: geomagnetic variation during the October-November “Halloween” storms of 2003.

Ratio of satellite drag derived density to the Jacchia 70 empirical model as a function of F10.7, [Marcos et al., 2005].

MSIS-00 TIE-GCM

Mean 1.03 0.99

Std. Dev. 0.20 0.14

Ratio averages for all five satellites: