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Statistical relations between in-situ measured Statistical relations between in-situ measured

Statistical relations between in-situ measured - PowerPoint Presentation

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Statistical relations between in-situ measured - PPT Presentation

Bz component and thermospheric density variations Sofia Kroisz 1 Lukas Drescher 1 Manuela Temmer 1 Sandro Krauss 2 Barbara SüsserRechberger 2 Thorsten MayerGürr 2 1 ID: 934537

time events space orbit events time orbit space variations statistical forecasting magnetic event 48h decay data satellite component project

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Slide1

Statistical relations between in-situ measured Bz component and thermospheric density variations

Sofia Kroisz1, Lukas Drescher1, Manuela Temmer1, Sandro Krauss2, Barbara Süsser-Rechberger2, Thorsten Mayer-Gürr21Institute of Physics, University of Graz2Institute of Geodesy, Graz University of Technology

Slide2

Project SWEETS Forecasting Space Weather Effects on low Earth orbiting satellitesThe project focuses on the development of a forecasting model, to predict the expected impact of solar events on satellites at different altitudes. The basis for the forecasting are real-time measurements of solar wind plasma and magnetic field data from satellites at the Lagrange point L1 (ACE, Wind, DSCOVR). For the background statistics we used the magnetic component Bz of 300 CME events, in a time range from April 2002 to May 2017. For the identification of the events, we relied on the list from Richardson & Cane. The Bz

component was measured with the ACE spacecraft, located at the Lagrange point L1, with a resolution of 4 minutes.

https://www.tugraz.at/institute/ifg/projects/theoretical-geodesy-and-satellite-geodesy/sweets

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See also:

Slide3

Calculation of density variations and orbit decay

More details => EGU21-4174: „Current status of project SWEETS: Estimating thermospheric neutral mass

densities from satellite data at

various

altitudes

by

Krauss et. al“.

The neutral mass densities and orbit decays for the statistical analysis are calculated preliminary with kinematic orbit information and accelerometer measurements, onboard of the GRACE space mission at an altitude of 490km.

Slide4

Statistical analysis

We have statistically analyzed the correlation of the density variations or orbit decay with the magnetic field Bz component and interpolated a linear regression curve. In addition, all events were examined individually and assigned to one of three categories. The categories are defined as follows:

Over 48h: single event, time between two events is > 48h

Under 48h: single Event, but the temporal distance is over 24h and under 48h

Under 24h: multiple events, as the time between two or more events is less then 24h

Slide5

SODA – Satellite Orbit DecAyThe derived statistical relations are used to develop a near-real time forecasting model, to estimate a possible orbit decay induced by space weather storms. Not yet included are the time shift between the arrival of an event and time of maximum orbit decay and the duration time of an CME event, which gives enough room for improvement of the model.

For a demonstrator version see: https://swe.uni-graz.at/index.php/services/nd-forecast

Slide6

ReferencesKrauss et. al., 2018. Multiple satellite analysis of the Earth's thermosphere and interplanetary magnetic field variations due to ICME/CIR events during 2003–2015. Journal of Geophysical Research: Space Physics, 123(10), 8884-8894.Krauss et. al., 2020. Exploring Thermospheric Variations Triggered by Severe Geomagnetic Storm on 26 August 2018 Using GRACE Follow‐On Data. Journal of Geophysical Research: Space Physics

, 125(5), e2019JA027731.Richardson & Cane, http://www.srl.caltech.edu/ACE/ASC/DATA/level3/icmetable2.htm#