Cosmic ray modulation by solar wind disturbances

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( Analiza i predviđanje utjecaja koroninih izbačaja na svemirske vremenske prilike)

Doktorski seminar

Mateja Dumbović

Opservatorij Hvar, Geodetski fakultet

1.

CORONAL MASS EJECTIONS (CMEs)

2.

CME SPACE WEATHER EFFECTS

3.

MOTIVATION

4.

METHOD

5.

RESULTS

CORONAGRAPHIC OBSERVATION (direct observations): bright, white-light feature in the coronagraph field of view visible-light observations show the electron-scattered emission of photospheric light the intensity depends on the line-of-sight column density of the corona

Bright feature - mass moving trough corona e.g. Hudson et al. (2006)

SOLAR FLARES

(TYPE II) SOLAR RADIO BURSTS CORONAL (EIT) WAVES

(ERUPTIVE) PROMINENCES

At apparently every observable wavelength!

Low-coronal signatures

Warmuth (2007)

Loss of equilibrium coronal arcade containing prominence material slowly rises

Stretching & twisting of overlying mag. field lines

Magnetic reconnection below the rising arcade: additional mag. flux

Enhanced acceleration

+ thermal/nonthermal energy release (flare)

+

Arcade eruption (CME & eruptive prominence) coronal wave & shock

Animation: www.nasa.gov

Differential rotation + convective flows

Twisting & stretching of mag. field lines

Induced currents (feeding the free energy into the system)

+

Complex magnetic structure

Irreversible loss of equilibrium

1.

CORONAL MASS EJECTIONS (CMEs)

2.

CME SPACE WEATHER EFFECTS

3.

MOTIVATION

4.

METHOD

5.

RESULTS

IP propagation of CMEs dominated by

MAGNETOHYDRODYNAMICAL DRAG :

CME tends to adjust it’s speed to solar wind speed

SLOW

FAST e.g. Vršnak et al (2013)

SOLAR WIND

Constant radial flow of plasma from the solar corona

In situ measurements ACE

Equatorial slice

INTERPLANETARY

MAGNETIC FIELD

Solar mag. field stretches into the interplanetary space

Dipole axis slice

Zurbuchen & Richardson (2006)

Dumbović et al. (2012)

disturbances of the geomagnetic field seen in different indices of geomagnetic activity contribution from auroral currents and ring current

Currents induced by charged particles injected due to magnetic reconnection between ICME & geomagnetic field

ICME Bs and v crucial! (E=Bv)

Dungey (1961), Koskinen&Huttunen (2006), Verbanac et al (2013)

Bmag (nT)

4.00E+01

2.00E+01

0.00E+00

267.5

268.5

Vp (km/s)

9.00E+02

6.00E+02

3.00E+02

0.00E+00

267.5

2.00E+01

1.00E+01

0.00E+00

267.5

-1.00E+01

-2.00E+01

268.5

Bz (nT)

268.5

Dst

100

0

267.5

-100

-200

-300

268.5

In situ/ACE + Dst indeks/Kyoto

DAY

269.5

DAY

269.5

DAY

DAY

269.5

269.5

http://spidr.ngdc.noaa.gov

Animation: www.forskning.no (University of Oslo)

Dumbović et al (2012)

Short term decreases in galactic cosmic ray

(GCR) flux:

Typical duration-several days

Magnitude up to ~ 30 %

Due to interaction of GCRs with shock/sheath region and

CME/ejecta region (different mechanisms)

Increased B and v crucial!

Dumbović et al (2011), Richardson & Cane (2011),

Dumbović et al (2012), Belov et al (2014)

MAGNETIC CLOUDS:

Type of CME/ejecta

Typical “pot-shaped” symmetric FDs

Richardson & Cane (2011)

Heber et al (2015)

All extreme storms – Forbush decreases (Vennerstrom et al., 2015 & Lefevre et al., 2015 in preparation)

Forbush decreases not necessarily associated with intense storms (e.g. Maričić et al., 2014)

1.

CORONAL MASS EJECTIONS (CMEs)

2.

CME SPACE WEATHER EFFECTS

3.

MOTIVATION

4.

METHOD

5.

RESULTS

CME detection:

Initial conditions

Modeling of CME propagation & evolution

Prediction of ICME arrival and near-Earth properties

Modeling of geomagnetic storms and Forbush decreases

~ 1 day ~ 1 h

CME detection:

Initial conditions

Statistical relations

Empirical probabilistic model

Modeling of geomagnetic storms and Forbush decreases

~ 1 day

1.

CORONAL MASS EJECTIONS (CMEs)

2.

CME SPACE WEATHER EFFECTS

3.

MOTIVATION

4.

METHOD

5.

RESULTS

Make a sample of events

Select CMEs and their properties

Associate geomagnetic storms

Associate Forbush decreases

Statistical analysis

Select key CME properties

Find CME-GMS relations

Find CME-FD relations

Model

Employ the results of the statistical analysis

CME-SOLAR FLARE ASSOCIATION (more parameters!):

M9 flare

N19W36 CME v

0

=1315.1km/s

CME-GEOMAGNETIC STORM ASSOCIATION (or no storm!):

HALO

Easy to find

Forbush decrease

(if present!)

Dumbović et al (2015)

guided by previous studies:

Zhang et al. (2003), Srivastava & Venkatakrishnan (2004), Srivastava (2005), Gopalswamy et al. (2007),

Zhang et al. (2007), Richardson & Cane (2011), Kim et al. (2012)

M9 flare

N19W36 CME v

0

=1315.1km/s

Associated flare X-ray flux peak and source position

CME speed

HALO

CME apparent width

CME-CME interaction parameter (likeliness of CME-CME interaction)

Kinematical criterion

+

Timing criterion

+

Source position/width criterion

Dumbović et al (2015)

4 levels of interaction:

No interaction

Not likely

Likely

Very likely

500

400

300

200

100

0

0 y = 0,04x + 10,84

R² = 0,10

500 1000 1500 2000 2500 3000 3500 4000

CME speed (km/s)

500

400

300

200

100

0

0 y = 0,04x + 10,84

R² = 0,10

500 1000 1500 2000 2500 3000 3500 4000

CME speed (km/s)

V=400-600 km/s V=800-1000 km/s V=1200-1700 km/s

Dumbović et al (2015)

Dumbović et al (in preparation)

Construct probability distribution which changes from one event to another depending on the input parameters

1.

CORONAL MASS EJECTIONS (CMEs)

2.

CME SPACE WEATHER EFFECTS

3.

MOTIVATION

4.

METHOD

5.

RESULTS

The change of the Dst distribution mean with

CME/flare parameters:

CME speed, v

CME apparent width, w

CME-CME interaction parameter, i

CME/flare source position, r

Flare X-ray class, f

STRONGER STORMS

ARE CAUSED BY: faster CMEs wider CMEs interacting CMEs central CME/flares stronger flares

Dumbović et al (2015)

http:// oh.geof.unizg.hr/ CGEFT/cgeft.php

The change of the FD distribution mean with

CME/flare parameters:

CME speed, v

CME apparent width, w

CME-CME interaction parameter, i

CME/flare source position, r

Flare X-ray peak intensity, I

DEEPER FDs ARE

CAUSED BY: faster CMEs wider CMEs interacting CMEs central CME/flares stronger flares

Dumbović et al (in preparation)

http:// oh.geof.unizg.hr

/FDFT/fdft.php

EVALUATION MEASURE – HEIDKE SKILL SCORE (meteorology!):

∞<HSS<1

HSS=0 as good as a random guess

HSS<0 worse than a random guess

HSS>0 better than a random guess

HSS=1 perfect forecast

REFERENCE – human forecast (SIDC*) whether or not there will be storm, HSS=0.34

Devos et al (2014)

Solar Influences Data Center (at ROB, BEL) storm no effect 0.19

medium 0.22

strong 0.08

intense 0.28

FD

0.24

0.08

0.16

0.31

no intense effect no strong or intense effect storm

0.28

0.10

there will be an effect (SIDC) 0.19

Devos et al (in preparation),

Dumbović et al (in preparation)

FD

0.31

0.50

0.24

 The presented research is based on:

Dumbović et al. (2015), Sol.Phys.

Dumbović et al (2015) in preparation

Devos et al (2015) in preparation

 The presented research is partly based on:

Dumbović et al (2011), A&A

Dumbović et al (2012), A&A

Dumbović et al (2012), CEAB

Maričić et al (2014), Sol.Phys.

Heber et al (2015) submitted to CEAB

Lefevre et al (2015) in preparation

Vennerstrom et al (2015) in preparation

The work leading to this research was (partly) funded by:

EU FP7 project COMESEP (Coronal Mass Ejections and Solar Energetic Particles)

HRZZ project SOLSTEL (Solar and Stelar variability)

EU FP7 project SOTERIA (SOlar-TERrestrial Investigations and Archives)

HEP (national) project “Predviđanje učinaka Sunčevih koroninih izbačaja na Zemljino magnetsko polje”

Research grant at the Royal Observatory of Belgium “Testing and improvement of the CME Geomagnetic Forecast Tool (CGFT)”

Bilateral MZOŠ/DAAD project CORAMOD ( Cosmic ray modulation by solar coronal mass ejections)

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