The UCSD kinematic IPS solar wind boundary and its use in the ENLIL 3‐D MHD prediction model

Abstract

The University of California, San Diego interplanetary scintillation (IPS) time‐dependent kinematic 3‐D reconstruction technique has been used and expanded upon for over a decade to provide predictions of heliospheric solar wind parameters. These parameters include global reconstructions of velocity, density, and (through potential field modeling and extrapolation upward from the solar surface) radial and tangential interplanetary magnetic fields. Time‐dependent results can be extracted at any solar distance within the reconstructed volume and are now being exploited as inner boundary values to drive the ENLIL 3‐D MHD model in near real time. The advantage of this coupled system is that it uses the more complete physics of 3‐D MHD modeling to provide an automatic prediction of coronal mass ejections and solar wind stream structures several days prior to their arrival at Earth without employing coronagraph observations. Here we explore, with several examples, the current differences between the IPS real‐time kinematic analyses and those from the ENLIL 3‐D MHD modeling using IPS‐derived real‐time boundaries. Future possibilities for this system include incorporating many different worldwide IPS stations as input to the remote sensing analysis using ENLIL as a kernel in the iterative 3‐D reconstructions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 01, 2015
Source ID
10.1002/2014sw001130

Entities

People

  • A. Buffington
  • B. Kim
  • B. V. Jackson
  • D. Odstrcil
  • H.‐s. Yu
  • J. C. Mejia‐ambriz
  • Jinchen Han
  • M. Tokumaru
  • P. P. Hick
  • Seong Hyeon Hong
  • Yong Ha Kim

Organizations

  • Air Force Office of Scientific Research
  • George Mason University
  • Nagoya University
  • National Aeronautics and Space Administration
  • National Science Foundation
  • University of California, San Diego

Tags

Fields of Study

  • Physics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Solar Physics
  • Wave Propagation and Nonlinear Chaotic Dynamics.