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Paperback or Softback. Condition: New. Improved Modeling of Midlatitude D-Region Ionospheric Absorption of High Frequency Radio Signals During Solar X-Ray Flares. Book.
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ISBN 10: 1249596181 ISBN 13: 9781249596189
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Taschenbuch. Condition: Neu. Neuware - This research is an extension to the research conducted by K. Leka and G. Barnes of the Colorado Research Associates Division, Northwest Research Associates, Inc. in Boulder, Colorado (CORA) in which they established no single photospheric solar parameter could sufficiently identify a flare-producing active region (AR). Their research then explored the possibility a linear combination of parameters used in a multivariable discriminant function (DF) could adequately predict solar activity. The purpose of this research is to extend the DF research conducted by Leka and Barnes by refining the method of statistical discriminant analysis (DA) with the goal of selecting those photospheric magnetic parameters most capable of identifying flare-producing active regions in hopes of increasing the reliability of short term flare warnings and the understanding of flare production. The data for this research were photospheric vector magnetograms captured by the Imaging Vector Magnetograph (IVM) at the University of Hawai`i Mees Solar Observatory at Haleakala and provided by CORA.
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ISBN 10: 1025099338 ISBN 13: 9781025099330
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Taschenbuch. Condition: Neu. Neuware - The purpose of this research was to improve modeling of midlatitude D-region ionospheric absorption of high frequency radio signals during solar X-ray flares through analysis of HF propagation data obtained during the HF Investigation of D-region Ionospheric Variation Experiment (HIDIVE) and obtained at the Canadian Space Agency NORSTAR riometer in Pinawa, Manitoba, Canada and X-ray flux data, as reported by GOES satellites. The findings of the data analysis were then used to validate and suggest improvements for two existing HF absorption models, the operational Space Weather Prediction Center (SWPC) D-region Absorption model and the physical AbbyNormal model. Analysis of the HIDIVE data revealed an absorption dependence on signal frequency and a dependence on solar zenith angle which differ from those used in the SWPC model. Analysis of nitric oxide (NO) density data obtained with the Student Nitric Oxide Explorer and during the Halogen Occultation Experiment provided improved methods of defining NO profiles within AbbyNormal.
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Condition: New. KlappentextrnrnThis research is an extension to the research conducted by K. Leka and G. Barnes of the Colorado Research Associates Division, Northwest Research Associates, Inc. in Boulder, Colorado (CORA) in which they established no single pho.
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Buch. Condition: Neu. Neuware - The purpose of this research was to improve modeling of midlatitude D-region ionospheric absorption of high frequency radio signals during solar X-ray flares through analysis of HF propagation data obtained during the HF Investigation of D-region Ionospheric Variation Experiment (HIDIVE) and obtained at the Canadian Space Agency NORSTAR riometer in Pinawa, Manitoba, Canada and X-ray flux data, as reported by GOES satellites. The findings of the data analysis were then used to validate and suggest improvements for two existing HF absorption models, the operational Space Weather Prediction Center (SWPC) D-region Absorption model and the physical AbbyNormal model. Analysis of the HIDIVE data revealed an absorption dependence on signal frequency and a dependence on solar zenith angle which differ from those used in the SWPC model. Analysis of nitric oxide (NO) density data obtained with the Student Nitric Oxide Explorer and during the Halogen Occultation Experiment provided improved methods of defining NO profiles within AbbyNormal.
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ISBN 10: 1249596181 ISBN 13: 9781249596189
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Taschenbuch. Condition: Neu. Neuware - This research is an extension to the research conducted by K. Leka and G. Barnes of the Colorado Research Associates Division, Northwest Research Associates, Inc. in Boulder, Colorado (CORA) in which they established no single photospheric solar parameter could sufficiently identify a flare-producing active region (AR). Their research then explored the possibility a linear combination of parameters used in a multivariable discriminant function (DF) could adequately predict solar activity. The purpose of this research is to extend the DF research conducted by Leka and Barnes by refining the method of statistical discriminant analysis (DA) with the goal of selecting those photospheric magnetic parameters most capable of identifying flare-producing active regions in hopes of increasing the reliability of short term flare warnings and the understanding of flare production. The data for this research were photospheric vector magnetograms captured by the Imaging Vector Magnetograph (IVM) at the University of Hawai`i Mees Solar Observatory at Haleakala and provided by CORA.
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