Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1405
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dc.contributor.authorallMikhailov, A. V.; Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation, Russian Academy of Sciences, Troitsk, Moscow Region, Russiaen
dc.contributor.authorallde la Morena, B. A.; National Institute of Aerospace Technology, Mazagón (Huelva), Spainen
dc.contributor.authorallMiro, G.; National Institute of Aerospace Technology, Mazagón (Huelva), Spainen
dc.contributor.authorallMarin, D.; National Institute of Aerospace Technology, Mazagón (Huelva), Spainen
dc.date.accessioned2006-07-26T12:51:16Zen
dc.date.available2006-07-26T12:51:16Zen
dc.date.issued1999-08en
dc.identifier.urihttp://hdl.handle.net/2122/1405en
dc.description.abstractIonosphere monitoring implies: observations, prediction and mapping of ionospheric parameters. A case with one available (El Arenosillo) ionosonde is considered. Some statistical methods for f0F2 short-term (1-24 h in advance) prediction are compared. The analysis of multi-dimensional regression for Df0F2 (relative deviation from running median) with Ap, F10.7 and previous Df0F2 observations has shown that inclusion of additional terms with Ap and F10.7 improves the prediction accuracy for lead time more than 15 h. For lead time 1-6 h a linear regression with earlier observed Df0F2 provides the f0F2 forecast with Relative Mean Deviation (RMD) 6-11%. This is acceptable from a practical point of view. A 24-h forecast can be done with RMD 10-11%. Multi-regressional methods provide better prediction accuracy than the usual 10-day running median or quasi-inertial method based on such median. Hourly f0F2 values may be used to calculate the effective index R12eff used as input to the ITU-R monthly median model. This allows the ITU-R model to "breathe" following hour-to-hour f0F2 variations. Then standard surfering methods may be applied for f0F2 mapping over the whole area. The f0F2 mapping accuracy based on the hourly R12eff index is shown to be 9-11% depending on solar activity level.en
dc.format.extent2334604 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoEnglishen
dc.relation.ispartofseries4/42 (1999)en
dc.subjectIonospheric F2 layeren
dc.subjectshort-term prediction methodsen
dc.subjectionospheric mappingen
dc.titleA method for f0F2 monitoring over Spain using the El Arenosillo digisonde current observationsen
dc.typearticleen
dc.type.QualityControlPeer-revieweden
dc.subject.INGV01. Atmosphere::01.02. Ionosphere::01.02.03. Forecastsen
dc.description.journalTypeJCR Journalen
dc.description.fulltextopenen
dc.contributor.authorMikhailov, A. V.en
dc.contributor.authorde la Morena, B. A.en
dc.contributor.authorMiro, G.en
dc.contributor.authorMarin, D.en
dc.contributor.departmentInstitute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation, Russian Academy of Sciences, Troitsk, Moscow Region, Russiaen
dc.contributor.departmentNational Institute of Aerospace Technology, Mazagón (Huelva), Spainen
dc.contributor.departmentNational Institute of Aerospace Technology, Mazagón (Huelva), Spainen
dc.contributor.departmentNational Institute of Aerospace Technology, Mazagón (Huelva), Spainen
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.openairetypearticle-
crisitem.classification.parent01. Atmosphere-
crisitem.author.deptPushkov Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation (IZMIRAN), Troitsk, Moscow Region 142190, Russia-
crisitem.author.deptAtmospheric Sounding Station El Arenosillo, INTA, Huelva, Spain-
crisitem.author.deptAtmospheric Sounding Station «El Arenosillo», National Institute of Aerospace Technology, Magazón, Huelva, Spain-
crisitem.author.deptUniversity of Huelva, Huelva, Spain-
Appears in Collections:Annals of Geophysics
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