An empirical ionospheric storm-time correction model
An empirical model for F-region peak ionospheric storm-time changes has been developed based on understanding from theoretical modeling of geomagnetic storms. The model is designed to scale climatology, or monthly-medians, based on the strength of a storm, as a function of geomagnetic latitude, seas...
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Veröffentlicht in: | Advances in space research 2000, Vol.25 (1), p.139-146 |
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description | An empirical model for
F-region peak ionospheric storm-time changes has been developed based on understanding from theoretical modeling of geomagnetic storms. The model is designed to scale climatology, or monthly-medians, based on the strength of a storm, as a function of geomagnetic latitude, season, and local time. The model is driven by an index derived from the previous thirty hours of auroral or geomagnetic activity, suitably weighted by a filter. The model is particularly effective in capturing the ionospheric storm negative phase in summer mid latitudes, where it reduces the root-mean-square error by more than a factor of two. The winter mid-latitude
F region typically experiences a positive phase during a storm accompanied by a high degree of variability. The model does less well in these circumstances but still makes a significant reduction in the variance. The ionospheric storm-time model can be used to scale monthly median values or a quiet time model such as the International Reference Ionosphere. |
doi_str_mv | 10.1016/S0273-1177(99)00911-4 |
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F-region peak ionospheric storm-time changes has been developed based on understanding from theoretical modeling of geomagnetic storms. The model is designed to scale climatology, or monthly-medians, based on the strength of a storm, as a function of geomagnetic latitude, season, and local time. The model is driven by an index derived from the previous thirty hours of auroral or geomagnetic activity, suitably weighted by a filter. The model is particularly effective in capturing the ionospheric storm negative phase in summer mid latitudes, where it reduces the root-mean-square error by more than a factor of two. The winter mid-latitude
F region typically experiences a positive phase during a storm accompanied by a high degree of variability. The model does less well in these circumstances but still makes a significant reduction in the variance. The ionospheric storm-time model can be used to scale monthly median values or a quiet time model such as the International Reference Ionosphere.</description><issn>0273-1177</issn><issn>1879-1948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LxDAQxYMouK5-BKEn0UM006ZNcpJlWf_Aggf3HrLJFCNtU5Ou4Le33RWvexqGee8N70fINbB7YFA9vLNcFBRAiFul7hhTAJSfkBlIoSgoLk_J7F9yTi5S-mQMciHYjPBFl2Hb--itaTIfupD6Dxy3LA0htnTwLWY2xIh2GK9ZGxw2l-SsNk3Cq785J5un1Wb5Qtdvz6_LxZraolIDdcYVwnDj1BatM0aUIIrc1UVtnJD11ikQzkjHZV7xkoNFaYQsSr5FiVYVc3JziO1j-NphGnTrk8WmMR2GXdK5qNhYkR8VgmSy4mpKLA9CG0NKEWvdR9-a-KOB6Yml3rPUEyitlN6z1NODx4MPx7bfHqNO1mNn0fkJjHbBH0n4Bf0mfEI</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Fuller-Rowell, T.J.</creator><creator>Araujo-Pradere, E.</creator><creator>Codrescu, M.V.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>2000</creationdate><title>An empirical ionospheric storm-time correction model</title><author>Fuller-Rowell, T.J. ; Araujo-Pradere, E. ; Codrescu, M.V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-dad37a4ad9becdaa751732df3fad78fbd917da8d48264541ce8a78354be8ec93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fuller-Rowell, T.J.</creatorcontrib><creatorcontrib>Araujo-Pradere, E.</creatorcontrib><creatorcontrib>Codrescu, M.V.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Advances in space research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fuller-Rowell, T.J.</au><au>Araujo-Pradere, E.</au><au>Codrescu, M.V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An empirical ionospheric storm-time correction model</atitle><jtitle>Advances in space research</jtitle><date>2000</date><risdate>2000</risdate><volume>25</volume><issue>1</issue><spage>139</spage><epage>146</epage><pages>139-146</pages><issn>0273-1177</issn><eissn>1879-1948</eissn><abstract>An empirical model for
F-region peak ionospheric storm-time changes has been developed based on understanding from theoretical modeling of geomagnetic storms. The model is designed to scale climatology, or monthly-medians, based on the strength of a storm, as a function of geomagnetic latitude, season, and local time. The model is driven by an index derived from the previous thirty hours of auroral or geomagnetic activity, suitably weighted by a filter. The model is particularly effective in capturing the ionospheric storm negative phase in summer mid latitudes, where it reduces the root-mean-square error by more than a factor of two. The winter mid-latitude
F region typically experiences a positive phase during a storm accompanied by a high degree of variability. The model does less well in these circumstances but still makes a significant reduction in the variance. The ionospheric storm-time model can be used to scale monthly median values or a quiet time model such as the International Reference Ionosphere.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/S0273-1177(99)00911-4</doi><tpages>8</tpages></addata></record> |
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title | An empirical ionospheric storm-time correction model |
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