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Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances

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Presentation on theme: "Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances"— Presentation transcript:

1 Drivers and Solar Cycles Trends of Extreme Space Weather Disturbances
Emilia Kilpua University of Helsinki @EmiliaKilpua) What is the definition of extreme. Remind first that space weather is large context. There are dis rc, auroral regions and van allen betls that are not always decoupled. In addition, some storms might cause space weather hazards like power outages and satellite malfunctioning that is not always in accordande with

2 Key solar wind parameters
magnetic field magnitude and direction dawn-dusk (driving) electric field speed dynamic pressure density Alfvén Mach number (bow shock compression, how plasma flows around the magnetopause, saturation) First, what are solar wind conditions needed to drive the largest storms? Well established that the key requirement is Bs. level of turbulence

3 High Alfvèn Mach number  less saturation
highest MA polar cap potential Clear that response increases with increasing driving electric field. So fied has the major importance. lowest MA solar wind driving electric field (mV/m) Myllys et al., 2016

4 High dynamic pressure  less saturation?
polar cap potential dynamic pressure (nPa) Observed that dynamic pressure affects very clearly to saturation. When Pdyn is high saturation does not occur, but solar wind driving electric field (mV/m) Myllys et al., in preparation

5 Coronal Mass Ejections (CMEs) drive nearly all intense geospace storms
Drivers of geospace storms four Solar Cycles ( ) Storm intensity: Kp (NOAA scales) G G G G G5 Richardson and Cane, 2012 Then what are solar wind structures driving the most extreme storms? It is clear if we think disturbances in the geomagnetic field, they are CMEs.

6 Two principal CME structures
Flux Rope Sheath Shock

7 Only flux ropes and sheaths have strong enough fields to drive extreme storms
normalized occurrence distribution for events in Flux rope Sheath CIR Fast stream

8 Sheaths have clearly higher Pdyn and Alfvén Mach number than flux ropes
normalized occurrence distribution for events in Flux rope Sheath CIR Fast stream

9 Which CMEs drive the most extreme storms?
intrinsic CME properties modifications during the IP journey pre-conditioning of the heliosphere “PERFECT STORM SCENARIO” (Liu et al., 2014; 2015)

10 Nov 20, 2003 (Strongest Dst storm of SC 23) driven by “isolated” CME
Example of an isolated CME. Not super-fast. Drove the largest Dst storm of solar cycle 23. But very rarely this storm is mentioned. Kp did not reach the highest value possible. No significant geospace hazards as far as I’m concernedf. -422 nT Kp=9-

11 November 2001 storm and Halloween storms impulsive energy injection
V [km/s] Pdyn [nPa] > 60 nPa Short main phase. High Pdyn, strong coincident southward IMF for a few hours enough!!! BZ [nT] Dst [nT] Balan et al., JGR, 2014

12 CME-CME interactions Liu et al., Nat Comm., 2014 prevents CME expansion  CME maintains high fields and speeds turbulent and compressed regions (high Pdyn and MA) shock merging (e.g., Lugaz et al., 2015) and shock compression of the preceding ICME (e.g., Lugaz 2016: Statistical analysis based on the Heliospheric Shock Database ipshocks.fi) Lugaz 2016: About half of the geoeffective sheaths are related to interacting ICME.

13 Interactions with the other large-scale solar wind structures (CIR, fast stream, HPS)
sheath  FR B [nT] “CME Sandwich” (March 17, 2015) compresses sheath and FR stronger storm than expected BZ [nT] Kataoka et al., GRL, 2015 V [km/s] Fast stream compression enhances geoeffectivity of flux ropes with north-south rotating fields (see e.g., Kilpua et al., Ann. Geophys and Fenrich & Luhmann, GRL, 1998) fast stream n [nPa] HPS Dst 4 days

14 Preconditioning of the heliosphere
low density previous weaker CME Liu et al., 2014 low density  minimal drag force  CME maintains high speeds  large Ey and stronger field line draping in the sheath

15 Extreme Substorms Extreme substorms  strong ionospheric currents without significant ring current (Dst) storm (Huttunen and Koskinen, 2004; Tsurutani et al., 2015) During CME sheath regions (Huttunen and Koskinen 2004) Strongest GICs occur during CME sheath regions (Huttunen et al., Space Weather, 2008)

16 Strong Van Allen belt enhancements at GEO: Fast streams are important
Kilpua et al., GRL,

17 Occurrence of extreme storms
Carrington storm July 22 “super-CME”

18 Correlation between solar cycle size and storm occurrence
(14 cycles, SCs 11-23) max SSN Pearson correlation coefficients, confidence intervals calculated with the bootstrap method. From Kilpua et al., APJ, 2015 95% confidence mean SSN  correlation between the storm occurrence and the solar cycle strength decreases with increasing storm magnitude

19 Solar cycle phases and storms
Kilpua et al., APJ 2015

20 Solar cycle phases and storms
Weaker storms occur predominantly in the declining phase (see also e.g., Ruzmaikin and Feynmann, 2001)  poloidal field  coronal holes  CIRs and fast streams Stronger storms clustered close to maximum time  toroidal field  active regions  coronal mass ejection (also probability for CME-CME interactions increases)

21 Summary Extreme storms: strong (+ a few hours) BS, high V, Pdyn and MA
 CME sheaths and interacting CMEs “ Perfect Storm Scenario”: Strong and fast CME(s), favorable modifications during IP journey, pre-conditioning Extreme space weather may occur also during weaker solar cycles (probability of the next Carrington storm? Riley 2012: 10-yr occurrence probability 12%)  smaller-scale dynamo and turbulent fields? Stronger storms occur more near solar maximum


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