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Related Concept Videos

Intensity Of Electromagnetic Waves01:22

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The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation:
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An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
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Updated: Aug 25, 2025

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS
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DMSP Poynting Flux: Data Processing and Inter-Spacecraft Comparisons.

Liam M Kilcommons1, Delores J Knipp1, Marc Hairston2

  • 1Ann and H.J. Smead Aerospace Engineering Sciences University of Colorado Boulder CO USA.

Journal of Geophysical Research. Space Physics
|October 17, 2022
PubMed
Summary
This summary is machine-generated.

Scientists developed an automated method to calculate Poynting flux (PF), a key measure of magnetosphere-ionosphere energy transfer, using Defense Meteorological Satellite Program (DMSP) data. This new approach enhances the accuracy of energy transfer calculations from space weather observations.

Keywords:
Poynting fluxdefense meterology satellite program

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Area of Science:

  • Space Physics
  • Magnetosphere-Ionosphere Coupling
  • Space Weather

Background:

  • Poynting flux (PF) quantifies energy transfer between the magnetosphere and ionosphere.
  • Low Earth orbit spacecraft provide in situ measurements of ion drift and magnetic fields for PF calculations.
  • Defense Meteorological Satellite Program (DMSP) data offers a valuable historical record but requires careful preprocessing for research.

Purpose of the Study:

  • To develop and validate an automated approach for calculating earthward Poynting flux (PF) from DMSP data.
  • To create a comprehensive PF dataset using extensive DMSP observations.
  • To analyze the impact of using full-field components versus single-component approximations in PF calculations.

Main Methods:

  • Developed an automated data preprocessing and quality control pipeline for DMSP ion drift and magnetic field measurements.
  • Calculated quasi-steady earthward PF using nine satellite-years of DMSP F15, F16, and F18 data.
  • Validated the method through inter-comparison of PF from different spacecraft using over 2,000 magnetic conjunction events.
  • Applied an equal-area binning technique to derive average spatial patterns of PF and related parameters (magnetic perturbation, electric field, ion drift velocity).
  • Analyzed the influence of using all electric and magnetic field components compared to typical single-component approximations.

Main Results:

  • The automated approach for calculating PF from DMSP data was validated, showing no significant systematic differences between spacecraft.
  • A comprehensive PF dataset was produced from DMSP F15, F16, and F18 observations.
  • Analysis using full-field components revealed increased relative strength of near-cusp PF and a ~25% increase in integrated high-latitude PF compared to single-component approximations.

Conclusions:

  • The developed automated method provides a reliable way to calculate earthward Poynting flux from DMSP data.
  • The study highlights the importance of utilizing full-field components in electric and magnetic measurements for accurate PF calculations.
  • The findings improve our understanding of energy transfer processes between the magnetosphere and ionosphere.