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An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the method Statistical analysis for year 2004 8 larger events of 2004 • Conclusion

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Page 1: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

An assessment of the NRLMSISE-00 density thermosphere description in presence of

space weather events

C. Lathuillère and M. Menvielle

• The data and the method• Statistical analysis for year 2004• 8 larger events of 2004• Conclusion

Page 2: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

STAR/CHAMP densities – May 3rd, 2003

Den

sitie

s (1

0-15

g.cm

-3)

The datato thesun

daytime and night time orbit sections are considered

separately

… between -50° and 50° in latitude, with a 1° sampling

rate with respect to the latitude

STAR/CHAMP densities – May 3rd, 2003

STAR atmosphere density along CHAMP trajectory at about 400 km altitude

Den

sitie

s (1

0-15

g.cm

-3) ~5:30 pm LT at equator

~5:30 am LT at equator

Inclination:87°

Page 3: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

TOTAL MASS DENSITY at the satellite altitude (10-15 g/cm3) 10 LT 22 LT

The method: Running SVD analysis over 15 consecutive orbits (about 1 day)

The projection on the first component accounts for large scale variations: spatial variations are captured by the first principal component, and time variations are captured by the associated projection coefficient: C1.

Residuals account for smaller scales, as tides and gravity waves

Page 4: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

Comparison with NRLMSISE-00 model

NRLMSIS:with MgII proxy and ap

CHAMP data

Normalized coefficient:

C1 CHAMP / C1 NRLMSIS_quietC1 NRLMSIS/ C1 NRLMSIS_quiet

NRLMSIS_quiet:with MgII proxy and Ap=4

MgII proxy: The composite MgII index (Viereck et al, 2004) is used as a proxy for solar EUV instead of F10.7

Page 5: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

NRLMSIS_quiet is used as a reference, that accounts for LT, seasonal variations, solar activity…

Page 6: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

- Statistical analysis: binning of normalized C1 coefficients as a function of ap

- Analysis of the height larger events

Page 7: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

Day time Night time

x : CHAMP data

x : NRLMSIS model

correlation coefficient between CHAMP data and ap

ap index ap index

Den

sity

per

turb

atio

n

Binning is done using the value of ap from the previous 3 hour interval

Page 8: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

x Day time

+ Night time

Page 9: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

Linear fit

y =1.9 x – 0.9

x Day time

+ Night time

Page 10: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

x Day time

+ Night time

Day and Night time with ap <100

Page 11: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

x Day time

+ Night time

Day and Night with ap <100

Quadratic fit

y =1.92 x2 – 3 x + 2.14

Page 12: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

Density perturbation: CHAMP data and NRLMSIS model

Day of 2004

ap magnetic index

Day time Night time

- the relative density increase is greatly underestimated by the model

- the model seems to correctly represent the shape of the perturbation

3 days

Page 13: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

The perturbations appear later in the data than in the model and this timing discrepancy is slightly larger during night ( 3-4.5 hours) than during day time.

Density perturbation: CHAMP data and NRLMSIS model normalized to the amplitude of the data perturbation

Normalization factor mean value = 2.3

3 days

Page 14: An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the

Conclusion

• NRLMSISE-00 correctly estimates the main features of the thermosphere density response to geomagnetic activity:

- the morphology of UT variations - the larger relative increase during night than during day time But it underestimates :

• the amplitude of the density response (by about a factor 2)• and its phase lag (up to 4.5 hours)

Altitudes about 400km. Latitudes between 50S and 50N