The Solar Dynamics Observatory
The Solar Dynamics Observatory

Author: Phillip Chamberlin

Publisher: Springer Science & Business Media

Published: 2012-05-05

Total Pages: 405

ISBN-13: 1461436737

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This volume is dedicated to the Solar Dynamics Observatory (SDO), which was launched 11 February 2010. The articles focus on the spacecraft and its instruments: the Atmospheric Imaging Assembly (AIA), the Extreme Ultraviolet Variability Experiment (EVE), and the Helioseismic and Magnetic Imager (HMI). Articles within also describe calibration results and data processing pipelines that are critical to understanding the data and products, concluding with a description of the successful Education and Public Outreach activities. This book is geared towards anyone interested in using the unprecedented data from SDO, whether for fundamental heliophysics research, space weather modeling and forecasting, or educational purposes. Previously published in Solar Physics journal, Vol. 275/1-2, 2012. Selected articles in this book are published open access under a CC BY-NC 2.5 license at link.springer.com. For further details, please see the license information in the chapters.

Using Solar Radio Burst Integrated Fluxes to Predict Energetic Proton Flux Increases
Using Solar Radio Burst Integrated Fluxes to Predict Energetic Proton Flux Increases

Author: William R. Barron

Publisher:

Published: 1982

Total Pages: 36

ISBN-13:

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Time-integrated solar ratio fluxes and their association with satellite observed solar energetic proton flux increases have been studied. The time-integration was only of the U-portion of the radio burst flux increase. The best correlations between the integrated radio fluxes and the proton peak fluxes were realized when the radio fluxes were multiplied by the factor exp (-3B), where B is the angular distance, in radians, between the site of the flare and the solar footpoint of the magnetic field connection between the sun and the earth. The solar footpoint positions were determined from the solar wind speed. Two-variate linear regressions were computed using the time-integrated radio fluxes at five discrete radio frequencies in the 606 to 8800 MHz frequency interval and peak proton fluxes at > 10 MeV and > 30 MeV. The higher frequencies of 2695, 4995 and 8800 MHz all correlated better with the > 10 -MeV protons than the lower frequencies. The > 30-MeV protons were even better correlated with the higher frequencies, but correlation with the lower frequencies were poorer. The Total Energy Density, E sub T, of the radio burst, an integration across the frequency interval of the time-integrated radio fluxes at each frequency, was found to be better correlated with the proton fluxes than any of the individual frequencies.