Use of Current Data Sets to Depict and Forecast Heliospheric Structure at Earth

Abstract

Solar disturbances produce major effects in the corona, its extension into the interplanetary medium, and ultimately, the Earth's environment. The ability to forecast the arrival at Earth of these disturbances and to determine their effects on the geospace environment is of primary interest to the Air Force, which communicates through and maintains satellites within this environment. It is now understood that the largest of these disturbances, called coronal mass ejections or CMEs, are the most important cause of major geomagnetic disturbances at the Earth. We have been at the forefront of studies of the origins and propagation of CMEs, and their effects on geospace. We have developed a tomographic technique to display and measure these disturbances as they move away from the Sun. This capability and knowledge has begun to revolutionize the study of heliospheric space plasma interactions with the Earth's environment. Development of powerful analysis and modeling techniques is a serious challenge that must be addressed in order to maximize the scientific and forecasting return from remotely sensed solar data. An important requirement for the efficient analysis of these observations will be the ability to trace solar plasma changes near Earth and elsewhere in the interplanetary medium in three dimensions, thereby enabling us to model and study the physics of heliospheric disturbances from a three-dimensional perspective.

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Document Details

Document Type
Technical Report
Publication Date
Dec 05, 2003
Accession Number
ADA419468

Entities

People

  • B. V. Jackson

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Satellites
  • Computers
  • Coronal Mass Ejections
  • Data Sets
  • Environment
  • Imaging Techniques
  • Magnetic Disturbances
  • Magnetic Storms
  • Measurement
  • Observation
  • Solar Activity
  • Solar Disturbances
  • Space Weather
  • Spacecraft
  • Sun
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Solar Physics

Technology Areas

  • Space