paul o’brien and r. l. mcpherron ucla/igpp [email protected]

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Paul O’Brien and R. L. McPherron UCLA/IGPP [email protected] Advances in Ring Current Index Forecasting Outline Introduction and Review Data Analysis Linear Phase-Space Trajectory Decay Depends on VBs Physical Interpretation Position of Convection Boundary Real-Time Model Implementation Evaluation Conclusions

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Outline Introduction and Review Data Analysis Linear Phase-Space Trajectory Decay Depends on VBs Physical Interpretation Position of Convection Boundary Real-Time Model Implementation Evaluation Conclusions. Advances in Ring Current Index Forecasting. Paul O’Brien and R. L. McPherron - PowerPoint PPT Presentation

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Page 1: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Paul O’Brien and R. L. McPherron

UCLA/IGPP

[email protected]

Advances in Ring Current Index Forecasting

Outline• Introduction and Review

• Data Analysis– Linear Phase-Space Trajectory– Decay Depends on VBs

• Physical Interpretation– Position of Convection Boundary

• Real-Time Model– Implementation

– Evaluation

• Conclusions

Page 2: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Meet the Ring Current• During a magnetic storm,

Southward IMF reconnects at the dayside magnetopause

• Magnetospheric convection is enhanced & hot particles are injected from the ionosphere

• Trapped radiation between L ~2-10 sets up the ring current, which can take several days to decay away

• We measure the magnetic field from this current as Dst

Day of Year

91 92 93 94 95 96 97 98 99-300

-200

-100

0

100

Dst

(n

T)

March 97 Magnetic Storm

91 92 93 94 95 96 97 98 990

5

10

VB

s (m

V/m

)

91 92 93 94 95 96 97 98 990

20

40

60

Ps

w

(nP

a)

Pressu

re Effect

Inje

ctio

nRecovery

Page 3: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Dst Distribution (Main Phase)

No D

ata

No D

ata

Median T

rajectory

D

st Q

- Dst/

Page 4: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

-10 -5 0 5 10

-10

-8

-6

-4

-2

0

2

4

6

8

10

-X

-Y

Trajectories for qE0Re/muB0 = 2.40e-003

-10 -5 0 5 10

-10

-8

-6

-4

-2

0

2

4

6

8

10

-X

-Y

Trajectories for qE0Re/muB0 = 8.00e-004

The Trapping-Loss Connection Decreases

Larger VBs

• The convection electric field shrinks the convection pattern

• The Ring Current is confined to the region of higher nH, which results in shorter

• The convection electric field is related to VBs

Page 5: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Fit of vs VBs

• The derived functional form can fit the data with physically reasonable parameters

• Our 4.69 is slightly larger than 1.1 from Reiff et al.

0 2 4 6 8 10 122

4

6

8

10

12

14

16

18

20

VBs (mV/m)

(h

ours

)

Decay Time ()

from Phase-Space Slope Points Used in Fit = 2.40e9.74/(4.69+VBs)

?

Page 6: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

How to Calculate the Wrong Decay Rate

• Using a least-squares fit of Dst to Dst we can estimate

• If we do this without first binning in VBs, we observe that depends on Dst

• If we first bin in VBs, we observe that depends much more strongly on VBs

• A weak correlation between VBs and Dst causes the apparent -Dst dependence

-200 -150 -100 -50 04

6

8

10

12

14

16

18

20

Dst Range (nT)

for various ranges of Dst (without specification of VBs)

-200 -150 -100 -50 04

6

8

10

12

14

16

18

20

Dst Range (nT)

(h

ours

)

All VBs

VBs = 0VBs = 2

VBs = 4

for various ranges of Dst (with specification of VBs)

(h

ours

)

VBs = 0

VBs = 2

VBs = 4

Page 7: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Small & Big Storms

0 50 100 150-120

-100

-80

-60

-40

-20

0

20

Dst Comparison for storm 1980-285

Dst

(n

T)

0 50 100 1500

1

2

3

4

5

6

Ec = 0.49 mV/m

VB

s m

V/m

Epoch Hours

Dst Model (1hr step) Model (multi-step)VBs

0 20 40 60 80 100 120 140 160 180-250

-200

-150

-100

-50

0

50

Dst Comparison for storm 1982-061

Dst

(n

T)

0 20 40 60 80 100 120 140 160 1800

5

10

15

VB

s m

V/m

Epoch Hours

Dst Model (1hr step) Model (multi-step)VBs

Ec = 0.49 mV/m

Page 8: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Small & Big Storm Errors

• More errors are associated with large VBs than with large Dst

-50 -40 -30 -20 -10 0 10 20 30 40 50-120

-100

-80

-60

-40

-20

0

20

Dst

(nT

)

Error: Model-Dst (nT)

Dst Transitions for 1980-285

Error VBs > Ec

VBs > 5

-50 -40 -30 -20 -10 0 10 20 30 40 50-250

-200

-150

-100

-50

0

50

Dst Transitions for 1982-061

Error VBs > Ec

VBs > 5

Dst

(nT

)

Error: Model-Dst (nT)

Page 9: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

ACE/Kyoto System

• The Kyoto World Data Center provides provisional Dst estimate about 12-24 hours behind real-time

• The Space Environment Center provides real-time measurements of the solar wind from the ACE spacecraft

• We use our model to integrate from the last Kyoto data to the arrival of the last ACE measurement

• This usually amounts to a forecast of 45+ minutes

Page 10: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Comparisons to Other Models

308 310 312 314 316 318 320 322 324 326-200

-150

-100

-50

0

50

UT Decimal Day (1998)

nT

266 267 268 269 270 271 272 273 274 275 276-300

-250

-200

-150

-100

-50

0

50

UT Decimal Day (1998)

nT Kyoto Dst

AK2 AK1 UCB ACE Gap

AK2 is the new model, Kyoto is the target, AK1 is a strictly Burton model, and UCB has slightly modified injection and decay. AK2 has a skill score of 30% relative to AK1 and 40% relative to UCB for 6 months of simulated real-time data availability. These numbers are even better if only active times are used.

ACE Gap

Page 11: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Details of Model Errors in Simulated Real-Time Mode

Model RMSE PredictionEfficiency

RMSEDst < -50 nT

UCB 21 nT 31% 40 nTAK1 19 nT 41% 38 nTAK2 16 nT 59% 24 nT

-50 -40 -30 -20 -10 0 10 20 30 40 500

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

Error (nT)

Fra

ctio

n of

All

Poi

nts

Error Distributions For 3 Real-Time Models

UCBAK1AK2Bin Size:

5 nT

ACE availability was 91% (by hour) in 232 days

Predicting large Dst is difficult, but larger errors may be tolerated in certain applications

Page 12: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Real-Time Dst On-Line With real-time

Solar wind data from ACE and near real-time magnetic measurements from Kyoto, we can provide a real-time forecast of Dst

We publish our Dst forecast on the Web every 30 minutes

Page 13: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Summary• Dst follows a first order equation:

– dDst/dt = Q(VBs) - Dst/(VBs)– Injection and decay depend on VBs– Dst dependence is very weak or absent

• We have suggested a mechanism for the decay dependence on VBs– Convection is brought closer to the exosphere

by the cross-tail electric field

• The model performs well in real-time relative to two other models– Poorest performance for large VBs

Page 14: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Looking Forward

• The USGS now provides measurements of H from SJG, HON, and GUA only 15 minutes behind real-time

• If we can convert H into H in real-time, we can use a 3-station provisional Dst to start our model, and only have to integrate about an hour– We have built Neural Networks which can provide Dst

from 1, 2 or 3 H values and UT local time

• Shortening our integration period could greatly reduce the error in our forecast

Page 15: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Motion of Median Trajectory

As VBs is increased, distributions slide left and tilt, but linear behavior is maintained.

VBs = 0 VBs = 1 mV/m VBs = 2 mV/m

VBs = 3 mV/m VBs = 4 mV/m VBs = 5 mV/m

Page 16: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

The charge-exchange lifetimes are a function of L because the exosphere density drops off with altitude

is an effective charge-exchange lifetime for the whole ring current. should therefore reflect the charge-exchange lifetime at the trapping boundary

Speculation on (VBs)• A cross-tail electric field E0

moves the stagnation point for hot plasma closer to the Earth. This is the trapping boundary (p is the shielding parameter)

• Reiff et al. 1981 showed that VBs controlled the polar-cap potential drop which is proportional to the cross-tail electric field

cos ( )

/

/

6

0

0

1m

H H

s

vn n

Hr r

L L

n e

e

e a VBs p( ' ) /1E a a VBsPC0 0 1

LW

qpR EsE

p

3

0

1/

Page 17: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Q is nearly linear in VBs

• The Q-VBs relationship is linear, with a cutoff below Ec

• This is essentially the result from Burton et al. (1975)

0 2 4 6 8 10 12-80

-70

-60

-50

-40

-30

-20

-10

0

10

VBs (mV/m)

Inje

ctio

n (

Q)

(nT

/h)

Injection (Q) vs VBs

Ec = 0.49

Offsets in Phase Space

Points Used in FitQ = (-4.4)(VBs-0.49)

Page 18: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Neural Network Verification

• A neural network provides good agreement in phase space

• The curvature outside the HTD area may not be real

-25 -20 -15 -10 -5 0 5 10 15-150

-100

-50

0Neural Network Phase Space

Dst

Dst

VBs = 0VBs = 1VBs = 2VBs = 3VBs = 4VBs = 5

NN Dst Stat Dst

Hig

h T

rainin

g D

ensity

Dst = NN(Dst,VBs,…)

Page 19: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Phase Space TrajectoriesSimple Decay Oscillatory Decay

*D A Dstst * * D A D B Dst st st

Dst(t)

Dst(t+t)-Dst(t)

Dst(t)

Dst(t+t)-Dst(t)Variable Decay

* *( )D A D B Dst st st 2

Dst(t)

Dst(t+t)-Dst(t)

Page 20: Paul O’Brien and R. L. McPherron UCLA/IGPP tpoiii@igpp.ucla

Calculation of Pressure Correction

• So far, we have assumed that the pressure correction was not important.This is true because:

Dst Dst b P

Dst Dst

swVBs Dst

*

,

*

But now we would like to determine the coefficients b and c. We can determine b by binning in [P1/2] and removing Q(VBs)

(PS Offset) - Q

Best Fit ~ (7.26) [P1/2]

-0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8-12

-10

-8

-6

-4

-2

0

2

4

6

(Phase-Space Offset) - Q vs P1/2]

(PS

Off

set)

-Q

(n

T/h

)

[P1/2] (nPa1/2/h)

We can determine c such that Dst* decays to zero when VBs = 0