the first space-weather numerical forecasting model & reconstruction of halo cmes

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The First Space- Weather Numerical Forecasting Model & Reconstruction of Halo CMEs Xuepu Zhao http://sun.stanford.edu/~xuepu [email protected] NAOC Oct. 20, 2011

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The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs. Xuepu Zhao http://sun.stanford.edu/~xuepu [email protected] NAOC Oct. 20, 2011. 1. The first space-weather numerical forecasting model. NSF Press Release, 26 Jan 2011 : - PowerPoint PPT Presentation

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Page 1: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

The First Space-Weather Numerical Forecasting Model &

Reconstruction of Halo CMEs

Xuepu Zhaohttp://sun.stanford.edu/~xuepu

[email protected] Oct. 20, 2011

Page 2: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

1. The first space-weather numerical forecasting model

• NSF Press Release, 26 Jan 2011: CISM’s New Space Weather Forecasting Model Going Operational use in fall 2011

with NWS • Pizzo, V., et al., Wang-Sheeley-Arge-Enlil-Cone Model Transitions to Operations,

Space Weather, 9, S03004,doi:10.1029/2011SW000663 • Schultz, C., Space Weather Model Moves Into Prime Time, Space Weather, 9,

S03005,doi:10.1029/2011SW000669

• Schultz, C., Space Weather Model Moves Into Prime Time, Space Weather, 9, S03005,doi:10.1029/2011SW000669

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• The new forecasting model will provide forecasters with a one-to-four day advance warning of high-speed streams of solar plasma and Earth-directed coronal mass ejections. The model make it possible to narrow the ICME arrival-time window from 1- or 2-day to 6-8 hours.• This transition draws upon contribution mainlyfrom NSF’s Center for Integrated Space Weather Modeling (CISM). CISM was established in August 2002 and made up of 11 member institutions. Its goal is to integrate, improve, and systematically validate a physics-based numerical simulation model for operational forecast use.

Page 4: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

• CISM Solar thrust:

(1) Model boundary conditions (Stanford, UCB) (2) MSA model (SAIC) (3) WSA solar wind model (NOAA-SWPC) (4) Cone models of halo CMEs (Stanford) (5) Active region models (UCB,Stanford) (6) CME models (SAIC) (7) ENLIL CME propagation model (NOAA-SWPC) (8) Solar energetic particle models (UCB)

Page 5: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

ENLIL*

MASX

WSA*

Circular Cone*

Magnetic Synoptic maps

GONG, MWOMDI, HMI

White-light Halo CMEs

•Automatic determination of elliptical outlines

HCCSSA?SIP-CESE?

Elliptic Cone?

SIP-AMR-CESE?

2. Improvement of CISM’s prediction model

Page 6: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

3. Reconstruction of halo CMEs

• The model-CME launched at the inner boundary of ENLIL model is obtained using the circular cone model (Zhao et al., 2002; Xie, 2005). However,

Most of halo CMEs cannot be correctely reconstructed by the circular model. I’d like to talk about the elliptic model that can be used to correctely invert 3-D properties from all types of halo CMEs (Zhao, 2008; 2011).

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3.1 Halo Parameters and Classification of Halo CMEs

• Halo CMEs with flares or filament eruptions associated, Earth-directed Halo CMEs, are major cause of severe geomagnetic storms and crucial for space weather.

• Halo CMEs may be expressed as ellipses • A 2-D ellipse can be characterized by FIVE halo

parameters (See following figure): Dse, α – the location of ellipse center SAxh,SAyh – Shape of ellipses ψ – orientation of ellipses

Page 8: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Dse

SAxh

SAyh

Xc’

Yc’

Xh

Zh

αψ

Definition of fiveHalo Parameters:

Dse—distance from disk center to ellipse centerα—angle between Xh & Xc’SAxh, SAyh—Semi axesΨ—oriention angle between Yc’ & Sayh or Xc’ & SAxh

Y

Page 9: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Three Types of Halo CMEs

Ψ = 0 => FOUR halo parameters

A B

C C

C CThere are 3 (10%) Type A halos among 30 halo CMEs

Page 10: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

3.2 Circular and Elliptic Halo Models

• It is impossible to invert 3-D properties of halo CMEs from observed 2-D halo images if there is no additional data source and/or assumptions about the 3-D CME structure.

• Most of CMEs are believed to be 3-D magnetized plasma clouds with configuration of flux ropes.

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• Limb CMEs (CMEs with propagation direction near the plane of the sky) show loop-like with two ends anchored on the solar surface, suggesting that the 3-D CMEs may be obtained by rotating the loop, i.e., circular or elliptic conical shells. The following figure shows a cone in the heliospheric coordinate system XhYhZh.Zh from Sun to Earth, XhYh denptes thesky plane.

Page 13: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Rc

Central axis: Rc, λ, φ (θ, α), size: ωYc || Yc’

Page 14: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

3.3 Cone Model Parameters

• Circular cone model: 4 model parameters Location of the cone base center: Rc, λ, φ Size of circular cone base: ω• Elliptic cone model: 6 parameters: Location of the cone base center: Rc, λ, φ Size of elliptic cone base: ωy, ωz Orientation of elliptic cone base: χ

Page 15: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Zh

SAx

Cone base || YcZc planeDse =Rc cos θSAy=yc > SAx=zc sinθOnly Type A for circular cone model

Page 16: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

4. Improved Elliptic Cone Model

• Halo CMEs are assumed to be CMEs with propagation direction near the Sun-Earth line. 2-D elliptic halos are projection of 3-D CMEs in the plane of the sky. White-light coronagraph data from SOHO & STEREO confirmed the assumption.

Page 17: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

4.1 Predicted and observed halo

Page 18: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

4.2 Relationship between model and halo parameters

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4.3 Inversion equation system

Page 21: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Halo parameters: α, Dse, ψ, SAx, SAyModel parameters: α, β, Rc, χ, ωy, ωz

Eq. (7) can be used to find out Rc, ωy, χ, and ωz from Dse, ψ, SAx, Say if β can be specified. β is found out based on given α and the location of associated flare or filament eruption.

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5. Summary

• The improved inversion equation system can be used to invert model parameters for all three types of halo CMEs with all kinds of propagation directions.

• It is necessary to automatically identify the outline for halo CMEs so that the reconstruction of 3-D CME is rather objective and reliable.

Page 25: The First Space-Weather Numerical Forecasting Model & Reconstruction of Halo CMEs

Thank you!

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