M. Fredrizzi, et al. 2009 I NTRODUCTION , CONT . 4 August 2010 My - - PowerPoint PPT Presentation

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M. Fredrizzi, et al. 2009 I NTRODUCTION , CONT . 4 August 2010 My - - PowerPoint PPT Presentation

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4 August 2010 M ODELING THE D ENSITY OF THE T HERMOSPHERE Suzanne Smith 1 Mentor: Tomoko Matsuo Site: National Oceanic & Atmospheric Administration, NOAA E ARTH S A TMOSPHERE 4 August 2010 2 I MPORTANCE OF M ODELING THE T HERMOSPHERE

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MODELING THE DENSITY OF

THE THERMOSPHERE

Suzanne Smith Mentor: Tomoko Matsuo Site: National Oceanic & Atmospheric Administration, NOAA

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EARTH’S ATMOSPHERE

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IMPORTANCE OF MODELING THE THERMOSPHERE

 Height of satellites and space shuttles orbit.  The neutral density of the thermosphere effects the

amount of drag present.

 With increased density and drag the shuttles and

satellites are slowed and the orbiting altitude is decreased.

 Having an efficient and accurate model of thermospheric

density is a valuable asset.

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INTRODUCTION

 General Circulation Model, GCM  Previous work  CTIPe model: The Coupled Thermosphere Ionosphere

Plasmasphere Electrodynamics Model, Tim Fuller-Rowell et al. 1996

 Global Thermosphere 80-500km: solves momentum, energy, composition  Ionosphere 80-10,000km: solves continuity, momentum, energy, etc.  Forcing: solar UV and EUV, empirical high latitude electric field and

auroral precipitation models, tidal forcing.

 CHAMP Satellite: Challenging Minisatellite Payload Satellite

 height~ 400km; 90min orbital period; Launched date: July 2000.

 2005 CTIPe 5-min Run, Mariangel Fedrizzi

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  • M. Fredrizzi, et al. 2009
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INTRODUCTION, CONT.

 My Work  Used multi-dimensional GCM (CTIPe) output and

reduced it to a low-dimension model.

 Specifically, conducted Singular Value Decomposition

(SVD) Analysis of CTIPe 5-min model output from 2005, and constructed a model of thermospheric density.

 Density in terms of position and time:  (r, t) = 1(r) 1(t) + 2(r) 2(t) + .. + n(r) n(t)  n(r) = EOF  n(t) = Amplitude

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DRIVERS OF DENSITY CHANGE

 Extreme Ultra Violet(EUV)  Diurnal  Seasonal  Solar wind/Magnetosphere Interactions  Auroral Activity

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YEAR MEAN & EOF AMPLITUDE VARIANCE

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YEARS WORTH OF EMPIRICAL ORTHOGANAL FUNCTIONS (EOFS), 

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EOF AMPLITUDES, 

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MODE #1: DIURNAL EUV

 Caused by the earth’s daily rotation.  The day side’s density increases because of the increased

EUV.

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August 2005

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MODE #2: SEASONAL EUV

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MODE #2: SEASONAL EUV CONT.

 Caused by the earth’s yearly revolution around the sun.  In our summer months the northern hemisphere is

pointed towards the sun which results in a greater amount of EUVs.

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Summer ‘05 Winter‘05

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MODE #3: AURORAL ACTIVITY

 Cause by high latitude electromagnetic forcing resulted

from the interaction between Solar Wind and the earth’s magnetosphere (i.e., auroral activity).

 Aurora occur both in the Northern and Southern

hemisphere creating a symmetric pattern in the EOF contour plots.

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Oct 2005

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RESOURCES: DRIVERS OF DENSITY CHANGE

 Ap Index (Kyoto): A measure of the level of

geomagnetic activity over the globe taken every 3hrs.

 Solar Wind (NASA OMNIWeb): collection of different

data sets that help to display storm conditions.

 Joule Heating (CTIPe Model): integrated over the globe  F 10.7 (Ottawa 10.7cm flux): EUV index

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PROVING MODE #3 IS AURORAL ACTIVITY

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F10.7 Ap Ap > 150 EOF 1 0.5163 0.4411 0.3068 EOF 2 0.0410 0.0345 0.2714 EOF 3 0.0388 0.0097 0.2548 EOF 4 0.6221 0.0364 0.3659

 Correlating the different EOFs with EUV Index: F10.7

(daily value), and Geomagnetic Index: Ap (taken every three hours).

 Surprising lack of correlation between Ap and EOF3.

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AUGUST 24TH: SOLAR WIND DATA(OMNI)

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Proton Density Dst Index Ap Index Solar Wind Speed B-field

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AUGUST 24TH: AP INDEX & JOULE HEATING

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AUGUST 24TH: THERMOSPHERIC DENSITY RECONSTRUCTION USING EOFS

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FINISHED PRODUCT

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ACKNOWLEDGEMENTS

 Tomoko Matsuo, mentor  Mariangel Fredrizzi, officemate & CTIPe Data  Timothy Fuller-Rowell, CTIPe model & mentoring  Rodney, dark chocolate covered acia berries  Doug Biesecker  Mike Crumly, vouching for me  Russ Henson, technology help  National Oceanic & Atmospheric Administration, NOAA  Space Weather Prediction Center, SWPC  MatLab

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REFERENCE

 NOAA Crest,

http://www.thebradentontimes.com/clientuploads/webpages/n

  • aa-logo.jpg.

 Lycoming Crest,

http://upload.wikimedia.org/wikipedia/en/thumb/1/1d/Lycomi ng_College_logo.png/175px-Lycoming_College_logo.png.

 Earth’s Atmosphere,

http://www.vtaide.com/png/images/atmosphere.jpg.

 CHAMP & CTIPe data plot, Mariangel Fredrizzi, et al.  Ap Index, http://wdc.kugi.kyoto-u.ac.jp/kp/index.html.  Solar Wind Data, NASA OMNIWeb,

http://omniweb.gsfc.nasa.gov/

 Joule Heating, CTIPe Model  F 10.7, Daily F 10.7 index, the Ottawa 10.7cm (2800 MHz)

radio flux

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QUESTIONS?

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