Statistical Comparison of Various Dayside Magnetopause Reconnection X-line Prediction Models

Ramiz A. Qudsi,   Brian Walsh, J. Broll, Stein Haaland

Boston University,   Los Alamos National Lab, Max-Planck Institute

*(qudsira@bu.edu)

(https://qudsiramiz.github.io)

                                                                                     1, *                                           1                         2                                                    3

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Outline:

  • Region of interest
  • Location of x-line
    • Different models
  • Data
  • Results
  • Discussions

Qudsi (qudsira@bu.edu)

The BASICS

Qudsi (qudsira@bu.edu)

Source: NASA

Qudsi (qudsira@bu.edu)

Region of interest:

Qudsi (qudsira@bu.edu)

[Broll et al., 2017]

Source: wikipedia

Qudsi (qudsira@bu.edu)

Location of x-line: Models

Local field bisection [Moore et al., 2002]

Maximum exhaust speed  [Swisdak and Drake, 2007]

Maximum magnetic shear [Trattner et al., 2007]

Maximum reconnecting field energy [Hesse et al., 2013]

Qudsi (qudsira@bu.edu)

Magnetic shear [Trattner et al., 2007]:

\cos(\theta) = \left(\textbf{B}_{\rm sh} \cdot \textbf{B}_{\rm msp}\right)/ \left(|\textbf{B}_{\rm sh}| |\textbf{B}_{\rm msp}|\right)
B_{\rm rec} = |\textbf{B}_{\rm msp} \cdot \textbf{i}_{\rm xn}|

Local field bisection [Moore et al., 2002]:

Reconnection field energy [Hesse et al., 2013]:

E \propto \left(B_{\rm sh}^2 \times B_{\rm msp}^2\right)

Exhaust speed [Swisdak and Drake, 2007]:

V_{\rm A} = \left[\frac{B_{\rm sh} B_{\rm msp} \left(B_{\rm sh} + B_{\rm msp}\right)}{\left(n_{\rm p,msp}B_{\rm sh} + n_{\rm p,sh}B_{\rm msp}\right)} \right]^{1/2}

sh: magnetosheath

msp: magnetosphere

Location of x-line: Models

Qudsi (qudsira@bu.edu)

DATA

Qudsi (qudsira@bu.edu)

Data:

Solar

Wind

OMNI

Cooling-2001 Model

Magnetosheath

Magnetopause

Shue-1998 Model

T-96 and IGRF Model

Magnetospheric Fields

Qudsi (qudsira@bu.edu)

Data

Solar Wind data: OMNI (propagated to the magnetopause)

Magnetosheath data: MMS (FPI and FGM)

Magnetospheric magnetic field: Models (T96 or T05 and IGRF)

Magnetosheath magnetic field: Models (Cooling model)

x

z

y

GSM coordinate system

Qudsi                                                                Center for Space Physics, BU                                                 qudsira@bu.edu

Methodology

Qudsi (qudsira@bu.edu)

Methodology

  • Look at the instances when MMS observed a jet reversal while crossing the magnetopause.

Qudsi (qudsira@bu.edu)

Magnetosheath

Magnetosphere

[Broll et al., 2017]

Qudsi (qudsira@bu.edu)

Methodology

  • For the observed parameters of IMF, Magnetosheath and Magnetosphere and Magnetopause find the model predicted x-line locations.
  • Find the distance of x-line from MMS, along the magnetopause, for different models.
  • Look at the statistical distribution of distances (histogram etc.) for different models.

Qudsi (qudsira@bu.edu)

  • Look at the instances when MMS observed a jet reversal while crossing the magnetopause.
\left< \Delta V_{L} \right> = \pm 70 km/s

RESULTS

Qudsi (qudsira@bu.edu)

The maximum shear model:

The maximum exhaust velocity model

Qudsi (qudsira@bu.edu)

B_z \gt 0
B_z \lt 0

DISCUSSIONS

Qudsi (qudsira@bu.edu)

Discussions:

For negative z-component of IMF, reconnection energy and bisection field models both give very similar statistics.

For positive z-component, shear and bisection model seem to do the best job of predicting the expected x-line

Statistically, bisection field model seem to perform better than other models for different IMF and magnetopause conditions.

Qudsi (qudsira@bu.edu)

Thank You!

Link to the presentation

Qudsi (qudsira@bu.edu)

AGU- 2022

By Ramiz Qudsi

AGU- 2022

A comparative study of reconnection X-line predictions on dayside magnetopause of Earth. Magnetic reconnection is a fundamental plasma process of key importance to several fields. Reconnection at Earth’s magnetopause drives magnetospheric convection and provides mass and energy input into the magnetosphere/ionosphere system. Despite this importance, the factors governing the location of dayside magnetopause reconnection are not well understood. Though a few models can predict X-line locations reasonably well the underlying physics is still unresolved. In this study we present results from an intensive analysis of over 100 reconnection regions observed by MMS to determine what quantities are most strongly associated with the occurrence of dayside magnetopause reconnection. We also attempt to answer under what upstream conditions are global X-line models least reliable.

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