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CASS/UCSD CCMC 2018 Heliospheric Tomography - Results Using 3-D MHD Kernels Bernard V. Jackson Hsiu-Shan Yu, P. Paul Hick, and Andrew Buffington University of California, San Diego, United States Dusan Odstrcil George Mason University, Fairfax, Virginia, and NASA-Goddard Spaceflight Center, United States Nick Pogorelov, Tae Kim Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville (UAH), Huntsville, AL, United States

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Page 1: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Bernard V. Jackson

Hsiu-Shan Yu, P. Paul Hick, and Andrew Buffington University of California, San Diego, United States

Dusan Odstrcil

George Mason University, Fairfax, Virginia, and NASA-Goddard Spaceflight Center, United States

Nick Pogorelov, Tae Kim Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville (UAH),

Huntsville, AL, United States

Page 2: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

IPS time-dependent kinematic model analysis: A worldwide operation that includes magnetic field.

IPS-iterated 3-D MHD: The 3-D MHD models iteratively fit to IPS observations.

What’s Next? An Ensemble Model (ENLIL with Cone Updated

by IPS) WIPSS (Worldwide InterPlanetary Scintillation Stations) network

Introduction:

Page 3: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

ISEE IPS array near Mt. Fuji 327 MHz ~2000 ㎡

DATA

ISEE IPS array systems

IPS Heliospheric Analyses at ISEE (STELab)

Toyokawa IPS array 327 MHz ~3500 ㎡

Page 4: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

IPS line-of-sight response

DATA

ISEE IPS array systems

IPS Heliospheric Analyses ISEE (STELab)

Page 5: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Sample outward motion over time

Heliospheric C.A.T. analyses: example line-of-sight distribution for each sky location to form the source surface of the 3-D reconstruction.

IPS line-of-sight response Jackson, B.V., et al., 2008, Adv. in Geosciences, 21, 339-360.

ISEE IPS

Page 6: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

13 July 2000 14 July 2000

Heliospheric C.A.T. analyses: example line-of-sight distribution for each sky location to form the source surface of the 3-D reconstruction.

IPS line-of-sight response Jackson, B.V., et al., 2008, Adv. in Geosciences, 21, 339-360.

ISEE Lower Surface Boundary

ISEE IPS

Page 7: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Source surface (15 Rs) Br field component sample

CSSS model

Dunn et al., 2005, Solar Physics 227: 339–353.

(Zhao, X. P. and Hoeksema, J. T., 1995, J. Geophys. Res., 100 (A1), 19.)

1.  Inner region: the CSSS model calculates the magnetic field using photospheric measurements and a horizontal current model.

2. Middle region: the CSSS model opens the field lines. In the outer region.

3. Outer region: the UCSD tomography convects the magnetic field along velocity flow lines.

Page 8: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Real-Time Kinematic Model

Page 9: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Web analysis runs “automatically” using Linux on a P.C.

http://ips.ucsd.edu/ or http://ips.ucsd.edu/high_resolution_predictions

UCSD Web pages

UCSD Prediction Analyses

Jackson, B.V., et al., 2011, Adv. in Geosciences, 30, 93-115.

Page 10: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels Last Night 2018/04/23 21UT

Ecliptic Cuts Meridional Cuts

Velocity

Density

Page 11: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Last Night 2018/04/23 21UT GSM Bz

Ecliptic Cut

Time Series

Meridional Cut Carrington Plot

NOAA Kp Index

Page 12: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

CR2182.0 2016 09/22-10/21 GSM Bz Sample correlations for CR2182 between the tomography-derived Bz and Dst or Kp

Dst

correlation 0.470

correlation 0.470

Page 13: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Real-Time IPS - Driven ENLIL

Page 14: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels Last Night IPS Prediction (KSWC)

http://www.spaceweather.go.kr/models/ipsbdenlil

IPS-Driven ENLIL

Page 15: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

IPS Iteratively - Updated 3-D MHD

Page 16: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

The Iterative Process with 3-D MHD models

UHA MS-FLUKSS ENLIL (Pogorelov) (Odstrcil)

IPS

Iterative 3-D MHD

Page 17: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Iteration 0 (Kinematic - IPS)

Iteration 2 (ENLIL - IPS)

Density

Density

Velocity

Velocity

CR2114.0 (2011/09/10 03 UT CME at Earth) IPS Iteratively Updated ENLIL Model Density/Velocity

Page 18: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

2011/09/10 03 UT CME at Earth IPS Iteratively Updated ENLIL Model Density/Velocity

Iteration 0 (Kinematic - IPS)

Density Ecliptic Cut

Velocity Ecliptic Cut

Density Ecliptic Cut

Iteration 2 (ENLIL - IPS)

CME CME

CME CME

Velocity Ecliptic Cut

Page 19: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels IPS Iteratively Updated MS-FLUKSS Density/Velocity

Iteration 0 (Kinematic - IPS)

Iteration 3 (MS-FLUKSS - IPS)

Density

Density

Velocity

Velocity

CR2114.0 (2011/09/10 03 UT CME at Earth)

Page 20: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

2011/09/10 03 UT CME Iteration 0 (Kinematic - IPS)

Density Ecliptic Cut Velocity

Ecliptic Cut

Density Ecliptic Cut

Iteration 3 (MS-FLUKSS - IPS)

CME

CME

CME CME

Velocity Ecliptic Cut

IPS Iteratively Updated MS-FLUKSS Density/Velocity

Page 21: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

4)  Explore the now-assumed and poorly-known model values (heating, gamma) provided in 3-D MHD models.

5)  Better space weather predictions.

So now that we have this technique, what can we do with it?

1)  Compare 3-D MHD models and determine their differences not only in-situ, but at the lower boundary and in between.

2) Explore the non-radial heliospheric transport of various solar structures.

3)  Compare the 3-D structure of poorly-known parameters (density, velocity) in the heliosphere with observed coronal features.

5)  Better space weather predictions.

Page 22: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

IPS - Updated 3-D ENLIL with Cone

Next

Page 23: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Ensemble Model Next

Update ENLIL with Cone by IPS

Page 24: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

A New Organization Name

WIPSS (Worldwide InterPlanetary Scintillation

Stations) Network

Better IPS analysis? Next

Page 25: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

World-wide IPS stations network

Japan Mexico

India

Russia UK/EISCAT LOFAR)

US-Australia Ooty 327MHz、16,000㎡

Pushchino103MHz 70,000㎡

MEXART 140MHz、10,000㎡

MWA 80-300MHz

STEL Multi-Station 327MHz 2000 ㎡×2, 3500 ㎡

IPS

Korea

Data Data

Data

Data

Data

Page 26: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

Cross-correlation functions indicate slow CME travelling around 450-500 km/s

Courtesy Richard Fallows, ASTRON, The Netherlands

Multi-Site Analysis for IPS systems for Velocity LOFAR Data

Page 27: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

LOFAR (263 LOS/CR)

Total (567 LOS/CR)

ISEE (304 LOS/CR)

(October 2016 LOFAR Campaign) Combination of IPS Station Analyses

LOFAR analysis, images, courtesy of M.M. Bisi, R. Fallows

Page 28: Heliospheric Tomography - Results Using 3-D MHD Kernels · Heliospheric Tomography - Results Using 3-D MHD Kernels 4) Explore the now-assumed and poorly-known model values (heating,

CASS/UCSD CCMC 2018

Heliospheric Tomography - Results Using 3-D MHD Kernels

IPS time-dependent kinematic model analysis: A worldwide operation that includes magnetic field.

IPS-iterated 3-D MHD: The 3-D MHD models iteratively fit to IPS observations.

What’s Next? An Ensemble Model (ENLIL with Cone Updated

by IPS) WIPSS (Worldwide InterPlanetary Scintillation Stations) network

Conclusion: