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Cepni, Murat S.; Potts, Laramie V.; Miima, John B.
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/12217</identifier> <creators> <creator> <creatorName>Cepni, Murat S.</creatorName> <givenName>Murat S.</givenName> <familyName>Cepni</familyName> <affiliation>Kocaeli Univ, Dept Geomat Engn, Kocaeli, Turkey</affiliation> </creator> <creator> <creatorName>Potts, Laramie V.</creatorName> <givenName>Laramie V.</givenName> <familyName>Potts</familyName> <affiliation>New Jersey Inst Technol, Dept Engn Technol, Newark, NJ 07102 USA</affiliation> </creator> <creator> <creatorName>Miima, John B.</creatorName> <givenName>John B.</givenName> <familyName>Miima</familyName> <affiliation>New Jersey Inst Technol, Dept Engn Technol, Newark, NJ 07102 USA</affiliation> </creator> </creators> <titles> <title>High-Resolution Station-Based Diurnal Ionospheric Total Electron Content (Tec) From Dual-Frequency Gps Observations</title> </titles> <publisher>Aperta</publisher> <publicationYear>2013</publicationYear> <dates> <date dateType="Issued">2013-01-01</date> </dates> <resourceType resourceTypeGeneral="Text">Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/12217</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1002/swe.20093</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract">Total electron content (TEC) estimates derived from Global Navigation Satellite System (GNSS) signal delays provide a rich source of information about the Earth's ionosphere. Networks of Global Positioning System (GPS) receivers data can be used to represent the ionosphere by a Global Ionospheric Map (GIM). Data input for GIMs is dual-frequency GNSS-only or a mixture of GNSS and altimetry observations. Parameterization of GNSS-only GIMs approaches the ionosphere as a single-layer model (SLM) to determine GPS TEC models over a region. Limitations in GNSS-only GIM TEC are due largely to the nonhomogenous global distribution of GPS tracking stations with large data gaps over the oceans. The utility of slant GPS ionospheric-induced path delays for high temporal resolution from a single-station data rate offers better representation of TEC over a small region. A station-based vertical TEC (TECV) approach modifies the traditional single-layer model (SLM) GPS TEC method by introducing a zenith angle weighting (ZAW) filter to capture signal delays from mostly near-zenith satellite passes. Comparison with GIMs shows the station-dependent TEC (SD-TEC) model exhibits robust performance under variable space weather conditions. The SD-TEC model was applied to investigate ionospheric TEC variability during the geomagnetic storm event of 9 March 2012 at midlatitude station NJJJ located in New Jersey, USA. The high temporal resolution TEC results suggest TEC production and loss rate differences before, during, and after the storm.</description> </descriptions> </resource>
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